• Work on initiatives to maintain and improve data quality and availability across global sales teams
• Support in maintaining and developing a strategic data-driven approach to sales targeting with market assessment and segmentation
• Ensure data availability across core verticals in target geographies through data builds
• Define, collect, analyse, interpret and visualise or present data to be used to drive business decisions
• Lead on maintaining reports and dashboards tracking performance and communicating results to relevant teams
• Help ensure frictionless sales data processes
• Build key relationships with different parts of the organisation to ensure understanding of business needs and help with implementation
• Support on various sales enablement initiatives

Skills: Data Quality, Sales Analytics, Market Segmentation, Data Visualization, Dashboard Reporting, Process Optimization, Stakeholder Collaboration, Sales Enablement

• Work with the business intelligence and engineering groups to understand how data is stored internally and quickly learn internal data storage and retrieval tools
• Set up tracking for events for new features and maintain their integrity in partnership with the larger data engineering and data warehousing teams
• Track business metrics, use data to proactively identify key bottlenecks to product adoption or hidden growth levers, and translate them into actionable business insights
• Collaborate with teams across marketing, product and business development to analyze the efficacy of their initiatives, establish benchmarks and recommend tactics to improve them
• Design, develop, test and launch new dashboards and reports into production
• Maintain and support existing reports and dashboards
• Build deep consumer segmentations on both buy and sell sides of the marketplace
• Be intimately familiar with the product adoption and user acquisition funnels by platform and user segments and track them closely
• Build and maintain these funnels from scratch
• Proactively dig into data sets across categories, price points, user behavior, etc. to identify new opportunities for growth
• Conduct deep dives and analytical investigations into inconsistent trends in data
• Continually ask “why” and show creativity to build hypotheses and test them using data

Skills: Data Engineering, Event Tracking, Business Analytics, Cross-Functional Collaboration, Dashboard Development, Report Maintenance, Consumer Segmentation, Funnel Analysis

• Build analysis, data visualizations and multi-functional reporting that provides critical support to the operations and decision-making of the organization
• Facilitate the analytical needs of the business and main stakeholders, collaborate in the design of diagnostic solutions and deliver outstanding data products and insights
• Provide analytics expertise to key business partners with data reading and analytics questions
• Prepare, cascade and monitor closely monthly commercial objectives in alignment with strategic plans and deployment directions
• Evaluate campaign key performance indicators at planning and actual levels
• Translate business functional requirements into technical specifications and, conversely, technical approaches into easily digestible terms
• Create and automate new processes in big data to evaluate or predict data quality issues proactively
• Proactive recommendation of building or amending reporting solutions and business intelligence tools for self-service

Skills: Data Visualization, Reporting Analysis, Stakeholder Collaboration, Diagnostic Solutions, KPI Evaluation, Technical Translation, Process Automation, BI Tools

• Develop, support, maintain and monitor analytics frameworks to identify, quantify and manage compliance breaches, lending practices and sales quality
• Extract and analyse data using data warehouse and database management software to conduct complex database queries and set up automated processes for ETL
• Monitor and analyse non-compliant behaviours by detection performance and improvements through the development of rules, automation, creation of mitigation strategies etc
• Lead stakeholder discussions to understand the situation and requirements that enable a problem to be defined with clarity and precision
• Explore, develop and maintain analytical dashboards in Tableau and detection scripts for compliance and conduct risk from various data sources
• Demonstrate strong interpersonal, problem-solving solving and communication skills to translate technical information or insights to non-technical audiences
• Present and articulate the findings back to the stakeholders using visualisation tools and ensure that learnings are incorporated into future initiatives
• Assist in the provision of data and analysis to management or any other internal or external users

Skills: Analytics Frameworks, Data Extraction, Compliance Monitoring, Stakeholder Engagement, Dashboard Development, Risk Detection, Data Visualization, Insight Communication

• Ensure data is analysed into meaningful, actionable insights and recommendations that improve decision-making and consequently drive business performance
• Analyse real-time online customer behavioural data using tools such as Google Analytics to understand user experience and drive customer economics
• Understand the business problem by identifying opportunities to harness cross-functional data, such as web or social, CRM, transactional, financial, etc, to improve decision-making and consequently drive business performance
• Support the business in delivering insights that influence decision makers
• Communicate and deliver complex analysis and concepts to key stakeholders and the wider business by creating data stories to excite the business
• Manage end-to-end analytical projects and develop in-depth customer-based insights that help drive decisions
• Understand complex techniques and apply them in the right circumstances
• Work directly with stakeholders to identify what they are trying to achieve and align work efforts and outcomes to those objectives
• Adapt well to new situations, support, drive and champion change
• Identify potential areas for analysis, optimisation and experimentation
• Support the development of insight analysts
• Develop new and evolve appropriate metrics and tools to provide reports and analysis that lead to actionable strategic insights

Skills: Data Analysis, Customer Insights, Cross-Functional Data, Stakeholder Communication, Data Storytelling, Project Management, Metrics Development, Strategic Insights

• Generate reports and presentations on audiences, verticals and industries
• Feed into the client strategy through insight and understanding of their target markets
• Maximise the value that can be extracted from the tools and systems used for audience insight
• Manage the relationships with providers of these tools, such as Similarweb, GWI, etc
• Identify the tools needed to bring in to develop capabilities in this area
• Collaborate with the appropriate teams within the department
• Provide thought leadership both internally and with clients
• Collaborate with internal account planning and creative teams to deliver excellence in understanding audiences
• Work on new business development across insights and audience strategy

Skills: Audience Insights, Market Analysis, Tool Optimization, Vendor Management, Capability Development, Cross-Team Collaboration, Thought Leadership, Business Development

• Know and apply comprehensive knowledge of supply chain data and operational strategies to the completion of advanced analytical and business modeling assignments
• Perform work under limited supervision, conferring with a superior on unusual matters
• Operate with considerable latitude for unreviewed action or decision
• Research and identify opportunities to increase the efficiency of supply chain operations
• Develop key performance indicators and integrate across other supply chain functions
• Lead the establishment and alignment of critical operational reporting
• Collaboratively serve as part of broader analytics project teams to deliver medium to large projects or outcomes and may be involved on more than one project at a given time
• Assist with the selection and or oversight, including assistance with financial and or budgetary management of outside partners and professionals to effectively deliver outcomes and results

Skills: Supply Chain Analytics, Business Modeling, Process Optimization, KPI Development, Operational Reporting, Project Leadership, Cross-Functional Collaboration, Vendor Management

• Create the patterns and flows that make the product experience simple and useful
• Be the subject matter expert on customer insights, turning data into actionable insights and ensuring those actions create maximum value for the customer and organisation
• Use insights to drive strategy and highlight opportunities for growth
• Develop and maintain internal routine reporting systems
• Support the business and its stakeholders with regular daily, weekly, monthly, quarterly and ad hoc reporting
• Build a data visualisation based on quantitative and qualitative analysis
• Deliver insights beyond the data by giving recommendations and highlighting opportunities for growth
• Participate in or lead small to mid-scale VOC projects or components of projects, integrating customer feedback with other data sources to translate complex data into strategic guidance
• Ensure all relevant customer insights are communicated to all stakeholders

Skills: User Experience, Customer Insights, Growth Strategy, Reporting Systems, Data Visualization, Business Reporting, VOC Analysis, Strategic Guidance

• Utilise all available tools such as web analytics, including Adobe Analytics, Tableau, big data platform, user replay tools, etc, to proactively identify data-driven opportunities for improvement in the shopper experience, sharing practical insights across the team and in relevant forums to trigger action and site optimisation
• Interrogate the data sources within the big data platform using SQL, R or another coding language to create insight, reports and dashboards that empower decision-making within the broader team
• Build and maintain key shared dashboards within Adobe Analytics and Tableau and act as the admin owner for both the dashboards and the Adobe Analytics platform
• Collaborate with the loyalty team in all ad hoc reporting needs, such as payment method analysis, search, navigation, etc
• Develop complex site performance dashboards for site optimisation launches using owned and third-party data sources
• Support maintenance and updates of shopper segmentation models and ensure high standards of data governance
• Identify ingestion opportunities for the big data platform to build a more comprehensive data set, working alongside business intelligence to prioritise the requirements
• Perform regular audits across sites and campaigns to ensure adherence to tagging and tracking standards

Skills: Web Analytics, Data Interrogation, Dashboard Management, Ad Hoc Reporting, Site Optimization, Shopper Segmentation, Data Governance, Tagging Compliance

• Analyze proprietary data, advertising data and third-party data to identify new opportunities, including quantifying business impact and investment required
• Develop the link between solutions and the client's business objectives
• Act as a telco, government, entertainment and tech industry advocate and analyst to surface key industry trends
• Consult with clients on opportunities associated with trends and potential business impact
• Work with strategic insights leads to growing business by working closely with clients to help them solve their challenges through insights
• Use modeling techniques to solve challenges, uncover opportunities and develop solutions for the client's business
• Foster client relationships with others in the organization, including marketing or advertising, analytics and corporate strategy
• Partner with internal and external product, research, data and measurement teams to bring full analytical capabilities to customers

Skills: Data Analysis, Business Insights, Industry Advocacy, Client Consulting, Trend Analysis, Modeling Techniques, Relationship Management, Cross-Functional Collaboration

• Manage stakeholder needs and requirements to meet business needs
• Define metrics and identify data needed for the metric
• Build complex data pipelines using SQL, Python and internal workflow management tools
• End-to-end manage data warehouse and reporting pipeline builds
• Support complex data analysis and work with the data engineering team for ingestion and modeling of community operations data from multiple sources
• Identify gaps and conclude data that impact business goals or processes
• Own data analysis and communicate the outcomes or insights to various customers to aid strategic decisions for improvements
• Build, maintain and communicate detailed reporting and models
• Build and manage data quality, manage and own work in Jira sprints

Skills: Stakeholder Management, Metric Definition, Data Pipelines, Warehouse Management, Data Analysis, Reporting Models, Data Quality, Sprint Management

• Cut through large data sets to provide actionable insights, reports and analysis to add value through insight and drive the business through improved customer experience
• Help guide the business using insight captured from the VOC programme as well as work closely with the customer journey team to champion the voice of the customer and drive improvements based on customer needs and expectations
• Provide reports and outputs that are timely, accurate, insightful and accessible to relevant stakeholders, which includes carrying out analysis using complex datasets
• Spot trends and patterns and tell a story, translating data into actionable insight, briefing stakeholders and answering ad hoc questions
• Maintain and update the VOC questionnaires periodically to help the business
• Plan, design and analyse ad hoc research requirements
• Keep up to date with market and industry developments and innovations and constantly look at ways to optimise the customer experience
• Collaborate with team members to improve insights, products and processes

Skills: Data Insights, Customer Experience, VOC Analysis, Stakeholder Reporting, Trend Analysis, Data Storytelling, Ad Hoc Research, Market Awareness

• Proactively work to improve the format, style and depth of analysis reports
• Analyze data accurately using best practice methods
• Provide high level interpretation of data in reports and presentations
• Interpret and meet the client’s brief
• Employ appropriate methodology for analysis of data
• Write findings in a coherent, structured and concise style
• Conceptualize effective and appropriate data display options
• Adhere to and remain up to date with the analysis style guide
• Work with clients to develop a strategic project brief based on the findings presented in insight and analysis reports
• Produce a high number of quantitative and qualitative reports without sacrificing quality or insight

Skills: Report Improvement, Data Accuracy, Insight Interpretation, Client Briefing, Methodology Application, Report Writing, Data Visualization, Style Compliance

• Proactively seek more efficient processes in order to increase capacity
• Complete all reports in the required time and demonstrate the ability to take on additional reports
• Handle premium clients and complex methodology insights requirements
• Manage analysis projects in order to meet client delivery deadlines
• Observe processes that are required to engage various stakeholders, such as any booking protocols required
• Create and maintain documentation that relates to each project
• Escalate problems or issues appropriately and in a timely manner
• Communicate any delays to the appropriate stakeholders in a timely manner
• Plan projects to allow for collaboration with other team members and management

Skills: Process Improvement, Report Management, Client Handling, Project Management, Stakeholder Engagement, Documentation Maintenance, Issue Escalation, Team Collaboration

• Initiate and execute new frameworks to thoroughly answer client objectives and or propose a new insights service
• Provide excellent customer service to all clients
• Build strong relationships with clients through report services, presentations and client meetings
• Proactively seek to improve the client experience
• Build strong working relationships with relevant sales team members
• Support sales with client retention and customised solutions
• Initiate insights sales pitches when the need arises
• Contribute to team projects and product development teams
• Connect with insights and wider business on GAP
• Share information and knowledge with the wider team

Skills: Framework Development, Customer Service, Client Relations, Experience Improvement, Sales Support, Client Retention, Team Collaboration, Product Development

• Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
• Develop analysis to illustrate business trends and identify areas of business opportunities
• Produce insights and recommend business actions to align with strategy and or solve business problems
• Provide seasoned, specialized knowledge, advice and or mentorship to various business and working partners
• Execute on data requests accurately and within a timely manner
• Represent functional area as an analytics and insights professional and key resource, build positive and productive working partnerships
• Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
• Provide day-to-day support and delivery of analytics
• Work independently as the senior analyst or subject matter expert and may coach and educate others
• Be considered an authority within a given area
• Oversee and or independently perform tasks from end to end

Skills: Business Analysis, Trend Identification, Strategic Insights, Knowledge Mentorship, Data Reporting, Partnership Building, Requirement Translation, Analytics Delivery

• Assemble and analyze data to understand customer behavior of existing data, external data sources and emerging sources to make recommendations on the future state of the loyalty program and bring awareness of usage behavior
• Support the design and analysis of surveys across the organization
• Undertake analysis of targeted customer groups or segments
• Build customer personas for survey and focus group research
• Manage vendor relationships for maximum value
• Support the training and enablement of dashboard building and designs
• Understand business stakeholders’ issues and create valuable insight
• Provide additional business insight and modeling support to the data science team, including advanced modeling

Skills: Customer Analysis, Survey Design, Segmentation Analysis, Persona Development, Vendor Management, Dashboard Design, Stakeholder Insights, Modeling Support

• Analyse performance data and derive conclusions based on trends, feedback, data and experience
• Establish processes around report outputs and be responsible for logistics management reporting covering service levels, inventory, costs and compliance
• Undertake deep-dive analysis identifying opportunities to improve service and reduce costs and waste
• Produce weekly and monthly MI reports to operations managers
• Work across the logistics organisation to help map and redesign processes and determine proactive ways to reduce costs
• Act as business lead for logistics reporting topics with in-flight and future system projects and transformations to improve efficiency and service performance within logistics
• Work closely with the wider data and analytics community to align to the company data strategy
• Explore new initiatives and ideas with the manager and prioritise the team’s efforts
• Liaise with other departments to ensure business drivers are understood and a smooth information flow is achieved

Skills: Performance Analysis, Logistics Reporting, Cost Reduction, MI Reporting, Process Redesign, Project Leadership, Data Alignment, Cross-Department Collaboration

• Support the market research team leader, market research managers and senior market research analyst by executing research projects through
• Analyze pre-existing studies from the relevant fact base
• Evaluate potential research methodologies for gathering particular types of data
• Clean and assemble the research data into established templates
• Create basic templates for populating research data
• Assist with the creation of compelling, insightful final reports that along with summarizing the key learnings, provide results of the initial analyses and extract and communicate insights
• Ensure results are well documented and stored in the relevant fact base
• Cultivate and maintain a network of secondary and industry resources to expedite knowledge base development
• Maintain a robust working knowledge of third-party market intelligence services subscribed to
• Develop a broad knowledge of major markets
• Assist and guide junior analysts in completing their deliverables

Skills: Research Execution, Data Analysis, Methodology Evaluation, Data Cleaning, Report Preparation, Knowledge Management, Market Intelligence, Analyst Support

• Develop end-to-end analysis and insights plans to investigate product areas with high level of opportunity to improve the customer experience
• Analyze quantitative and qualitative frontline feedback to understand customer pain points to produce clear, actionable insights
• Make recommendations for product and policy improvements based on those insights and sized for impact
• Present insights and recommendations using strong storytelling skills to senior leaders
• Partner with cross-functional stakeholders such as data scientist, experience researchers, designers, engineers and product managers to influence decision makers to implement product and policy improvements
• Understand impact of changes including experiments, in collaboration with data science
• Communicate wins and learnings and elevate trade-offs to cross-functional leadership teams
• Collaborate with other product insights analysts in different surface areas to provide holistic insights and solutions across the platform
• Drive or contribute to initiatives that enhance the product insights analysts function
• Set up analysis and insights plans executed by the partner product specialist team to increase overall insights output
• Create and manage project roadmaps for partner product specialists specializing in domain

Skills: Insights Planning, Customer Analysis, Impact Assessment, Storytelling Presentation, Cross-Functional Collaboration, Experiment Evaluation, Project Roadmapping, Product Improvement

• Provide ideas and insight to aid successful product positioning, marketing strategy and development of competitive landscape for the firm’s investment products
• Manage multiple projects simultaneously while meeting deadlines and with a quick turnaround, offering advice proactively and remaining focused in a fast-paced distribution environment
• Maintain sound decision-making and strategic thinking, which reflects an understanding and interest in the asset management business and priorities
• Serve as an effective analytical resource by fulfilling ad hoc requests for product, including statistics, calculations or analysis from distribution, client service and senior management
• Provide accurate competitive analysis including peer performance and investment process comparisons to business development and client relations
• Provide data and charts for marketing materials, such as sales presentations and summary product profiles and consultant requests
• Analyze industry competitive insights to support the existing client segmentation framework
• Support the development of compendiums on specific distribution channels, such as intermediary distribution, retirement, etc

Skills: Product Positioning, Marketing Strategy, Strategic Thinking, Analytical Support, Competitive Analysis, Data Visualization, Client Segmentation, Project Management

• Monitor signals from the business, such as sales, customer experience, insights, etc to identify and plan work priorities based on the potential impact and monitor external signals such as macroeconomic data, human capital management thought leaders, and HR tech trends to ensure priorities are holistic and future-oriented
• Build and lead effective cross-functional project teams aligned to key insights and business priorities and proactively communicate impact to all relevant teams
• Leverage unique data to create actionable insights that unlock new solutions to talent challenges, continuously improve customer value and scale business impact
• Write SQL, Hive, Pig or Python queries to extract necessary data
• Utilize Tableau, Excel, Word and PowerPoint to analyze and present the results and package the relevant business insights
• Write compelling stories that use the data and data visualisation to compel the audience with the power of the insight
• Establish credibility as a thought leader and voice of insights to senior internal leaders as a go-to resource for insights team members seeking expert advice or mentorship
• Proactively build new or optimise existing processes in a way that expands insights capabilities and eliminates redundancies

Skills: Signal Monitoring, Project Leadership, Actionable Insights, Data Extraction, Data Visualization, Insight Storytelling, Thought Leadership, Process Optimization

• Work comfortably with large and complex datasets that span multiple areas of the organization and understand how to blend and model data effectively
• Serve as business steward for several potentially sensitive domain-specific data assets
• Solve complex analytics problems requiring synthesis of diverse inputs from internal and external sources through the application of a comprehensive suite of descriptive and diagnostic methods and select predictive methods with minimal oversight
• Confidently leverage a broad suite of standard analytics tooling that may require unique or complex integrations across systems, while coaching others to do the same, including Tableau, Alteryx, ThoughtSpot and AWS services
• Act as subject matter expert for standard data usage patterns, analytics tooling and analytic methods and procedures, while coaching others within the analytics community to do the same
• Maintain the confidentiality of documented or conversational information, data and insights in support of enterprise protection and travel
• Actively engage in restaurant and subsidiary operations to gain contextual insight to how bodies of work support the enterprise
• Actively engage with external vendors, industry associations and external stakeholders to gain insights as to the data and information available for consumption and analysis in support of work
• Work collaboratively with various internal stakeholder groups to gain insights as to the data and information available for consumption and analysis in support of work
• Generate reports, scorecards and dashboards for all four functional areas of enterprise protection and travel

Skills: Data Modeling, Data Stewardship, Analytics Problem-Solving, Tool Integration, Subject Expertise, Data Confidentiality, Stakeholder Engagement, Dashboard Reporting

• Track, analyze and communicate website, campaign, customer and sales behavior
• Develop and support regular reporting used by high-level business stakeholders
• Develop forecasts predicting the financial performance of and trends in digital membership acquisition and retention
• Help conduct website A/B testing and report results in a clear and compelling manner
• Deliver effective and scalable visualisations to business users and utilize best practices around data visualisation design principles
• Help provide actionable recommendations to influence business plans affecting all new and existing site features and functionality
• Identify trends and anomalies while developing theories to explain them using a broad range of existing customer data
• Constantly seek opportunities for collaboration and feedback from others
• Support user adoption of analytics to enable data-driven decision making
• Participate in team continuous improvement activities

Skills: Behavior Analysis, Reporting Development, Forecast Modeling, A/B Testing, Data Visualization, Business Recommendations, Trend Identification, Analytics Adoption

• Turn data into actionable insight that enables the team and stakeholders to better understand customer experience, provide recommendations to improve efficiency or customer experience, identify the root cause of new issues or problems and track the impacts of business decisions or proposition changes
• Use data to validate hypotheses or ascertain benefits to enable the right prioritisation of business and strategic opportunities
• Produce regular periodic insight or ad hoc reporting that is easy to understand, highlights performance themes across all key performance indicators and supports senior stakeholder decision making
• Effectively utilise speech analytics software to improve understanding of customer experience including creating call montages
• Define and continually develop leading key performance indicators to help stakeholders achieve targets
• Maintain detailed knowledge of customer and colleague data, processes and work streams to enrich actionable insight
• Build trusted relationships with stakeholders to specify, develop and produce high-quality insight and analysis
• Work in collaboration with colleagues to share ideas, adhere to best practices and create an environment that drives creative and innovative insight practices
• Proactively seek out best practices and innovative analytics techniques to improve the quality, efficiency and impact of the insight delivered

Skills: Actionable Insights, Hypothesis Validation, Performance Reporting, Speech Analytics, KPI Development, Data Knowledge, Stakeholder Relationships, Insight Innovation

• Mine and analyze data from multiple sources, including YouTube and Search to identify behavioral trends across audiences and geographies.
• Partner with the Human Truths data innovation team to learn about new methodologies and sources of data that enable new types of insights specific for the APAC region.
• Partner with Human Truths strategists to develop insights based on Google data, qualitative research and market-specific context, addressing the consumer and business questions posed in briefs.
• Present data findings in a clear and compelling way, adapting style and depth to internal teams, partners and clients.
• Conduct qualitative and quantitative consumer research including surveys, interviews, focus groups, syndicated studies and data mining.
• Translate research findings into easy-to-understand stories and actionable recommendations including account, campaign or product strategic direction and specific targeting.
• Write reports, presentations and points of view.
• Present and sell strategic ideas and campaigns to client or team.
• Understand and leverage internal data and systems to create customized decks that will be used in conjunction with sales, customer success and solutions teams to up-level customer conversations.
• Understand and leverage internal data and systems to create client-centric dashboards to drive a deeper understanding of customers.
• Partner with the scaled sales insights lead to operationalize reports and narratives derived from custom analyses.
• Work effectively with cross-functional teams to deliver on the sales insights vision.

Skills: Data Mining, Trend Analysis, Consumer Research, Insight Development, Storytelling Presentation, Strategic Recommendations, Dashboard Creation, Cross-Functional Collaboration

• Leverage Helio data to generate sourcing, diligence and growth strategy analysis for leading investors, advisors and operators within the CPG industry.
• Manage the day-to-day operations of a project team that spans data scientists, engineers and product managers.
• Collect and analyze customer feedback on Helio data and analysis and translate into actionable product learnings for the product development team.
• Drive cross-functional alignment and coordination among teams to stand up strategic projects with customer-focused business outcomes.
• Create insights to support the sizing and prioritization of roadmap items in the CJR digital first strategy, looking at the customer behavior through the end to end journey.
• Independently identify complex patterns in vast quantities of textual data and present these interpretations to internal and external stakeholders.
• Review and contribute to project deliverables from a strategic perspective, in liaison with internal and external experts, to ensure the content and quality is in accordance with the client’s goals, the project strategy and internal high standards.
• Ensure that projects are executed in accordance with ethical codes of conduct, all internal processes and comply with the legal and contractual obligations set out in the contracts between the organization and the client.
• Continue to develop broader methodological collaborations with academic partners to enhance team capabilities and to support specific projects.
• Clearly and confidently describe the data structure and analytical approach adopted to solve a specific business question.

Skills: Data Analysis, Project Management, Customer Feedback, Cross-Functional Alignment, Journey Insights, Pattern Recognition, Strategic Review, Methodological Collaboration

• Support analysis for the operations group, focused on developing the capability to translate data into actionable insights that will improve product and process performance.
• Help provide timely insights and analytical support to different internal stakeholders to support effective business decision-making.
• Identify key success indicators and determine best practices for measurement and reporting.
• Assist with ad hoc queries and provide analytical support to a fast-growing business as it evolves.
• With support, become the go-to person for operational vendor reporting.
• Develop relationships with stakeholders and within the operations and vendor teams to ensure all work streams and projects are delivered to the strategic needs and objectives.
• Work with customer and category insights managers to identify and build most appropriate knowledge management solution for each team.
• Analyze, summarize and prepare findings for sharing or inclusion in category insights, selling stories or toolkits.
• Work with customer and category insights managers to identify and acquire analytics, presentations, training materials and ensure documents are filed and maintained as agreed upon including Global Pet Connect, SharePoint, and Synapse.
• Lead onboarding of new associates to the resources available to access insights and the insights team materials available for organizational use.

Skills: Operational Insights, Stakeholder Support, KPI Measurement, Ad Hoc Analysis, Vendor Reporting, Relationship Building, Knowledge Management, Onboarding Support

• Lead reporting and analytics work streams which aim to use reporting, monitoring and predictive analytics to optimise process performance.
• Use complex data and tools to understand all aspects of process performance and explain performance trends to senior stakeholders and business partners.
• Recommend process improvements to senior stakeholders.
• Utilise data visualisation techniques to powerfully convey insights and facilitate data discovery.
• Drive a culture of continuous improvement and innovation within business units to improve service, reduce costs and manage risk within appetite.
• Manage, coach and develop reporting analysts who support the day-to-day production of analytics assets.
• Create new code, conduct custom analyses and convert data into final output to be presented to clients, agencies or leveraged through thought leadership content.
• Extract data from client's massive data warehouse and turn that data into compelling stories that help clients become more successful.
• Leverage client's unique data to create innovative, custom analyses and tools to address business challenges and power thought leadership.
• Write SQL, Presto, Hive, Pig or Python queries to extract necessary data, analyse the results to generate actionable insights and present the findings either in Tableau, Excel or PowerPoint.

Skills: Reporting Analytics, Process Optimization, Performance Analysis, Data Visualization, Continuous Improvement, Team Leadership, Custom Analysis, Data Extraction

• Communicate and document actionable insights to newsroom stakeholders, including editorial team leaders, producers, publishers and others.
• Produce and communicate weekly, bi-weekly or monthly reports that communicate both quantitative and qualitative data, including views, engagement, and unique visitors, with the newsroom.
• Respond to ad hoc insights requests and questions from stakeholders.
• Extract and analyze data from multiple sources, including Crowdtangle, Google Analytics, Campaign Monitor, Tubular and platform analytics, including YouTube, Facebook, Twitter, Snapchat, Instagram and TikTok.
• Build, update and maintain databases that ensure accurate and timely reporting of business KPIs and editorial performance.
• Collaborate with cross-functional stakeholders to develop and measure experiments on editorial products.
• Provide the state management team and TMR field force with data to support their own patch initiatives upon set up and regular progress updates.
• Work cross collaboratively with other functions to reduce duplication and increase efficiency of reporting and analytical tasks.
• Ensure learnings are shared and build upon ideas, whilst personally sharing wins across the state and departments.
• Ensure relevant information is collected and received and communicated to stakeholders across the state, national field and head.

Skills: Actionable Insights, Report Production, Ad Hoc Analysis, Data Extraction, Database Management, Experiment Measurement, Cross-Functional Collaboration, KPI Reporting

• Experience using version control (e.g., Git).
• Programming experience required with knowledge of R, Python or SQL.
• Understanding of analytic and statistical methods with emphasis on implementation via programming language.
• Understanding of batch processing of data and script automation.
• Strong ability to debug and test code.
• Strong R (Tidyverse) programming skills.
• Ability to use creative problem-solving techniques to quickly execute and report on ad-hoc analytics requests from business stakeholders.
• Ability to interpret analysis results and draw conclusions.
• Ability to write clean and intuitive code, along with any supporting documentation needed to communicate the work.
• Ability to schedule jobs via Ubuntu OS or Databricks.
• Ability to work in new, fast-paced environments.
• Comfortable programmatically connecting to databases to access raw data.

Qualifications: BA in Economics with 3 years of Experience

• Experience in a management consulting, corporate strategy, or data analysis role within the cloud industry.
• Experience in data analysis using spreadsheets and SQL.
• Experience with cloud computing technologies and strategies.
• Experience with data analysis and visualization tools and languages (e.g., Python, R, Tableau, Looker, etc.).
• Experience in synthesizing actionable insights from large datasets.
• Excellent business judgment.
• Ability to influence stakeholders and facilitate meetings with cross-functional teams across matrixed organizations.
• Ability to navigate a fast-paced environment with limited direction, manage priorities/simultaneous projects, and make decisions quickly.

Qualifications: BS in Statistics with 6 years of Experience

• Experience in mathematics, data science, computer science, information technology, statistics, or other quantitative fields.
• Experience as a business/marketing analyst in a direct-to-consumer environment.
• Experience analyzing and determining ROI across various direct-to-consumer marketing campaigns (e.g., paid search, paid social, email).
• Experience/certification in Adobe Analytics and or Google Analytics measuring campaign effectiveness.
• Experience querying data warehouses (SQL), analyzing data, and arriving at insights using quantitative techniques.
• Experience connecting offline sales data to online web data to understand marketing attribution.
• Experience in design and implementation of A/B test across multiple KPIs and using A/B test platforms (Optimizely, Adobe Target, VWO).
• Superior teamwork, communication, and problem-solving skills.
• Proficient in Power BI, Tableau or other data visualization tools.
• Ability to communicate highly complex and technical concepts to non-technical audiences.
• Ability to learn and stay abreast of new tools and techniques.

Qualifications: BS in Data Science with 8 years of Experience

• Experience operating across multiple projects in a dynamic industry is critical.
• Experience collaborating with and obtaining requirements from non-technical stakeholders.
• Knowledge of analytical tools such as PowerBI and Google Data Studio.
• Knowledge of the digital media landscape, particularly programmatic advertising.
• Strong analytical background
• Ability to formulate data-led strategic and tactical initiatives.
• Strong presentation and communication skills.
• Ability to work collaboratively and positively with others in an open, friendly, flexible and facilitating manner.
• High intellectual capability and a passion for finding solutions to complex problems.

Qualifications: BA in Business Administration with 4 years of Experience

• Data analysis experience with large data sets.
• Experience in SQL and PowerBI or other BI tools for querying data and for data manipulation/transformation.
• Experience in financial services, with thorough knowledge of HR systems or financial services products, customers, transactions and interaction data.
• Strong analytic skills with the ability to extract, collect, organize, analyze and interpret results for insights.
• Strong decision-making and problem-solving skills.
• Strong organization and project management skills.
• Effective interpersonal, verbal and written communication skills.
• Ability to data mine, analyze data, and present insights in a meaningful way.
• Ability to develop and maintain strategic partnerships with senior business unit management, business partners and project sponsors, as well as communicate effectively with business and development teams, end users, and product owners.

Qualifications: BS in Computer Science with 6 years of Experience

• Experience in an analytic role with a financial institution.
• Experience in manipulating large volumes of complex data from disparate sources.
• Experience with data visualization tools.
• Experience in advanced analytic techniques such as text mining, development of predictive models to support customer strategies (e.g. sales, service, cross-sell, retention, fraud etc.).
• Exposure or experience with big data/Hadoop environment and open source code such as R or Python.
• Understanding/experience in collections and recoveries.
• Excellent analytical, logical, and organizational skills.
• Understand the relationships between data and activities, draw conclusions and use critical thinking to validate/verify outputs.
• Highly skilled in the use of statistical programming software including Python, Spark, SAS, SQL and advanced data mining.
• Strong focus on attention to detail to produce high-quality, accurate and timely deliverables to meet deadlines.
• Strong interpersonal skills, ability to work well in a team environment.
• Excellent verbal and written communication and presentation skills.
• Ability to prioritize competing requests/multiple tasks in a deadline-driven environment.

Qualifications: BA in Sociology with 7 years of Experience

• Experience with people data or a related analytical field.
• Experience with SQL and/or statistical programming languages such as R or Python.
• Experience of working collaboratively and confidently with others yet is comfortable using initiative when working alone.
• Good understanding of Microsoft-based programmes, including Excel, Word and PowerPoint.
• Knowledge of statistical analysis techniques and an aptitude for interpreting and disseminating analytical findings.
• Strong analysis skills, including the ability to derive insight from multiple data sources, use of data to support debate, and problem-solving complex people challenges.
• Good standard of literacy for the production of reports and written correspondence.
• Good communication skills to be able to effectively connect with all partners, including the ability to summarise complex technical information in a way that’s suitable for all audiences.
• Strong ability to be self-directed in planning own work.
• Ability to communicate insights with a range of executive and non-executive stakeholders to influence people and policy decision-making and drive positive action.
• Must be comfortable working through ambiguity and in a fast-paced, dynamic environment.
• Comfortable working with a variety of data analysis, visualisation or preparation tools e.g. MicroStrategy, Tableau, Alteryx.

Qualifications: BS in Mathematics with 3 years of Experience

• Experience working for a SaaS/cloud-based solution.
• Experience directly in the customer experience product solutions (customer feedback, mobile app, SMS, email or mobile wallet).
• B2B consulting experience.
• Advanced user of analytics tools, e.g. Qlik Sense, Excel, Tableau, or similar software.
• Excellent oral and written communication skills.
• Analytical mindset, with exceptional attention to detail.
• Strong communication skills.
• High level of professionalism and project ownership when consulting with and delivering to customers.
• Strong troubleshooting skills.
• Ability to convey complex analysis to a non-technical audience.
• Ability to self-motivate with problem-solving and multi-tasking skills.
• Detail-oriented and able to autonomously support tasks across multiple projects.
• Comfortable working within a fast-paced, multi-tasking environment with a large amount of autonomy and project ownership.

Qualifications: BA in Political Science with 5 years of Experience

• Experience in advertising research and/or insights development.
• Experience with data analysis and storytelling, going beyond the “what” to tell the “why” within research results.
• Experience with web analytics platforms, Google Analytics.
• Strong knowledge of the digital marketing ecosystem and media business.
• Knowledge of syndicated media, data and audience measurement tools, ideally including MRI, Ipsos Affluent Survey, GWI, comScore, SimilarWeb, Telmar, etc.
• Excellent presentation and writing skills.
• Team player with strong communication and interpersonal skills.
• Capable of handling multiple projects in a fast-paced, deadline-driven environment.
• Ability to work efficiently and accurately with strong attention to detail.

Qualifications: BS in Management Information Systems with 4 years of Experience

• Experience in building innovative stories in BI tools to identify and communicate business insights to support effective decision-making.
• Experience in translating business requirements to technical/analytical specifications.
• Experience in Azure.
• Understanding of predictive/analytical modelling techniques, theories, principles and practices.
• Expertise in analytics, data mining and creating data visualisations.
• Strong data visualisation skills including the ability to deliver clear, targeted and impactful data visualizations and report user experience.
• Strong data analysis and data interpretation skills with experience in extracting and working with raw data.
• Advanced SQL skills.
• Motivated/self-driven with the ability to work independently with minimum supervision.
• Exceptional communication and stakeholder engagement skills.
• Skills with of advanced statistical software packages, including the use of Python or R.

Qualifications: BA in Psychology with 7 years of Experience

• Experience in data analytics, ideally in advertising or finance.
• Experience compiling data and insights for reporting.
• Strong experience with MS Office Suite, including Excel, Domo or Power BI, social listening tools, and Google Suite.
• Familiarity with advertising platforms.
• Self-starter who is eager to learn and to get the job done.
• Be able to stay calm, friendly, and professional under pressure in a busy environment.
• Ability to read and interpret data to inform decision-making.
• Ability to draw conclusions from large amounts of data and concisely summarize findings.
• Flexible, committed, and punctual.

Qualifications: BS in Operations Research with 2 years of Experience

• Experience in analytics or consulting.
• Experience with data analysis and storytelling.
• Experience in digital marketing analytics, ideally within an agency setting.
• Experience in turning data into insights and client-facing experience.
• Experience working with agencies and deep familiarity with the media agency landscape.
• Experience in the technology industry, providing actionable insights to customers.
• Experience in data-visualization front-end reporting tools such as Tableau or QlikView.
• Expert knowledge of MS Office (Outlook, Word, PowerPoint and Excel).
• Excellent interpersonal, communication, writing, presentation, statistical and data analysis skills.
• Familiarity with the broader agency ecosystem.
• Proficiency in data programming with SQL, Presto, Python, R or other languages.
• Ability to create value for and effectively engage with organizational leaders across insights, analytics and strategy functions.
• Ability to communicate findings clearly to both technical and non-technical audiences.

Qualifications: BA in Anthropology with 6 years of Experience

• Direct experience with a dashboarding tool, either Amazon Quicksight or Power BI.
• Direct experience of conducting analysis using quantitative data.
• Experience of conducting analysis on data relating to people and performance.
• Experience of working in a GDPR compliant manner when acting as a data processor.
• Experience of working in a cross-functional and/or multi-divisional role.
• Experience of using Python or R to generate insights.
• Experience of Infor or other WFM systems.
• Experience of qualitative analysis.
• Experience of SAP ERP Software.
• Expert user of Cognos 10 or Cognos Analytics.
• Excellent Microsoft Excel knowledge.
• Outstanding attention to detail.
• Comfortable with ambiguity and working under pressure.

Qualifications: BS in Finance with 5 years of Experience

• Hands-on social listening experience, audience analysis or data/statistical analysis, with exposure to consumer insights and social media research.
• Experience with social research, Boolean searches, and unstructured data.
• Experience of data visualisations and creating a compelling story flow of report deliverables.
• Data visualization and database management tool experience (e.g. Tableau, Power BI, SPSS).
• Understanding of fundamental marketing principles.
• Proficient IT skills and good knowledge of the MS Office suite, including Excel, Word, and PowerPoint.
• Highly organized with excellent time management skills and ability to effectively prioritize tasks.
• Excellent verbal and written communication skills.
• Strong analytical reasoning, ability to identify and clearly communicate patterns and essential issues in a clear and succinct way.
• Strong numeracy skills.
• Ability to effectively structure and clearly communicate measurement and research findings.
• Ability to work independently and as part of a team.
• Be able to argue a point coherently.

Qualifications: BA in International Relations with 3 years of Experience

• SQL, COPC certification.
• Experience with outsourced vendor operations.
• Experience in an operations environment.
• Experience in an analytical or quality-related function.
• Deep understanding of quality management, ideally in the trust space, based on a familiarity with industry best practices.
• Familiarity with Six Sigma, understanding of statistics and polling methodologies.
• Outstanding interpersonal and cross-functional leadership skills and ability to influence across various leadership levels.
• Strong project management skills, data, and root cause analysis skills.
• Effective communication skills that engage diverse stakeholders. Adept at simplifying the complex.
• Capable of problem-solving and critical thinking, with an astute business acumen.
• Analytical thinking and the ability to make decisions based on data.
• Strong program and project management skills.
• Demonstrated work ethic and initiative.

Qualifications: BS in Information Technology with 8 years of Experience

• Experience in social listening/digital analytics.
• Prior experience using social listening tools (such as Brandwatch, Brand24, Socialbakers etc).
• Experience in corporate storytelling or the communication of complex information in a simplified way.
• Experience working with marketing analytics tools like Google Analytics, Twitter Analytics, Facebook Insights, Google AdWords etc.
• Advanced Excel skills including tools related to data extraction, manipulation and data visualisation.
• Strong ability to manipulate and analyse large datasets.
• Fluency in Vietnamese and English (with strong ability to read and write).
• Strong analytical thinking skills and the aptitude to pick up new skills quickly.

Qualifications: BA in Communications with 2 years of Experience

• Understanding of marketing research tools, methods and best practices.
• Basic understanding of statistics or statistical modeling.
• Analytical, problem-solving, and data skills with the ability to interpret and simplify complex data sets for others and communicate details or summarize data trends and key themes.
• Excellent written and verbal communication skills, both for day-to-day communication as well as ad-hoc presentations.
• Demonstration of initiative and ownership.
• Well-developed organizational and project management skills.
• Be able to execute with urgency, to ensure timely decisions in a fast-paced industry.
• Ability to understand and exhibit understanding of various marketing and campaign strategies.
• Willingness to work on projects or tasks with both as part of a team and independently.

Qualifications: BS in Marketing Analytics with 1 year of Experience

• Experience translating data into action (applied research, marketing, consulting or related field).
• Experience in extracting, interrogating and distilling data from in-house systems.
• Experience with research methods in quantitative and qualitative research, as well as interpreting CX and more complex data models.
• Experience working with others to set targets for new and existing business propositions.
• Understanding how insights build brands.
• Strong and effective communication skills.
• Ability to manage research agencies.
• Ability to present complex ideas clearly and concisely, engaging multiple audiences, internally and externally.

Qualifications: BA in History with 4 years of Experience

• Experience in data analysis and visualisation.
• Experience in dash-boarding and data visualisation tools such as Tableau, Data Studio, and/or Looker.
• Experience with CRM such as Zendesk or Salesforce.
• Experience with Google Analytics and session replay software (Full Story).
• Advanced SQL knowledge, with a focus on reporting and analytics.
• Strong Python coding skills.
• Good communicator, who is able to take complexity and communicate it in a clear, concise and logical manner.
• Be well organised, good time management and produce deliverables on time.

Qualifications: BS in Actuarial Science with 3 years of Experience

• Experience in defining and introducing metrics to business processes.
• Experience working with Power BI (Pro or, ideally, Premium), including data modelling, report creation and distribution.
• Experience writing SQL and DAX.
• Experienced working in or alongside data engineering teams to deliver data solutions spanning source systems to end-users.
• Experienced at managing multiple stakeholders through processes or projects.
• Experience as an analyst working with a B2B sales team.
• Excellent written and spoken communication skills.
• Strong analytical mindset.
• Ambition to create a data-driven culture.
• Passion for data visualisation.

Qualifications: BA in Philosophy with 5 years of Experience

• Experience of creating pragmatic solutions in a dynamic environment.
• Experience of Google Tag Manager, Optimise, Analytics, Tableau, Data Studio or similar BI tools.
• Experience as a social media analyst or digital data analyst.
• Hands-on experience with social or web analytics and reporting systems (Google Analytics, Adobe Analytics/Omniture, Socialbakers, or other social and web analytics platforms).
• Strong written and verbal communication skills.
• Ability to effectively communicate and present data, insights, and final conclusions to both internal and external client teams.
• Fluent in English since this role is expected to represent research and analytic team in front of diverse client groups (incl. overseas clients).
• Strong commercial focus with the ability to translate findings into business language.
• Ability to produce accurate reports with the ‘i’s dotted and ‘t’s crossed.
• Ability to communicate complex results and concepts into a language for a variety of audiences.
• Ability to work independently and in a team environment.
• Comfortable bringing meaningful order and structure to large sets of data.
• Self-motivated with experience of leadership roles across cross-functional teams.

Qualifications: BS in Engineering Management with 4 years of Experience

• Experience in extracting and manipulating large volumes of data with SQL, with direct experience with the Teradata platform.
• Experience in turning raw data into actionable, value-adding insights and recommendations.
• Experience with data visualisation and dashboard building, with Tableau experience.
• Experience in trade marketing or research agency.
• Knowledge of PowerBI.
• Commitment, professionalism, respect and a ‘can-do’ attitude in any situation.
• Ability to provide analytical expertise to deliver high-quality insights to support marketing outcomes.
• Ability to build partnerships across a diverse range of stakeholders.
• Ability to communicate insights and recommendations to stakeholders in a clear and concise manner, both in verbal and written formats.
• Ability to interpret and deliver insights from various sources of data (syndicated data, ad hoc research, 3rd party sources, and 1st party data).
• Ability to transform complex data and information into simple and inspiring stories, feeding the business with the insights to deliver the objectives.

Qualifications: BA in Public Policy with 6 years of Experience

• Experience in market research, insights, consumer experience, business intelligence, planning, analytics and/or similar fields.
• Experience working with SQL and data visualization (e.g., Power BI, Tableau).
• Experience with text analytics, coding (Python/R).
• Knowledge of statistical analysis techniques.
• Understanding of customer segments relevant to the core business.
• Strong critical thinking, problem-solving skills and analytical skills including the ability to translate large datasets into meaningful insights.
• Strong communication and interpersonal skills and have attention for detail.
• Excellent written and verbal communication skills in English.
• High level of comfort with Microsoft Excel, PowerPoint and similar software is necessary.
• Ability to present and visualize data in an impactful way and communicate findings with key stakeholders (including through oral presentations and written reports).
• Willingness to learn and develop commercial awareness and utilize market intelligence tools.

Qualifications: BS in Artificial Intelligence with 4 years of Experience

• Experience of interpreting, analysing and documenting results from charity programmes in writing through a variety of publications, including donor reports and guidelines/toolkits in a clear and succinct manner.
• Experience of working with highly sensitive data.
• Knowledge of advanced analytical techniques (e.g. time series, probability, regression, machine learning).
• Knowledge of analytically oriented programming languages (e.g. Python, R).
• Good understanding of the Theory of Change (ToC) approach, logical frameworks, MEL plan development and other key MEL approaches/methodologies, including both quantitative and qualitative, and ideally including participatory methodologies.
• Proficiency in SQL composing/maintaining scripts.
• Skills in visualisation techniques and tooling (Tableau, PowerBI, Jupyter Notebook).
• Excellent and proven analytical skills working with both quantitative and qualitative data.
• Successful track record of building and maintaining relationships with stakeholders and managers, plus developing networks and partnerships.
• Demonstrated comfort in analysing huge volumes of data in a performant and secure way.

Qualifications: BA in Human Geography with 7 years of Experience

• Experience in a data science or analytics role.
• Strong experience in statistical programming (e.g. R, Python, MATLAB) as well as data visualization tools (e.g. Mode Analytics/Chartio/Tableau/Qlikview).
• Data analytics experience using data management and analysis tools such as SQL, SAS, AQT, SPSS or Cognos, including a proficiency in extracting, manipulating and analyzing data to draw relevant conclusions.
• Experience with other PC-based software products including spreadsheet and graphics tools.
• Experience with conducting marketing research or analyzing consumer research.
• Advanced SQL proficiency and are able to write efficient and well-structured queries on large data sets.
• Track record of creating tangible impact on a business through sharing comprehensive yet clear narratives based on analysis.
• Ability to lead constructive conversations and influence others without relying on formal authority.
• Ability to work agile, managing multiple deadline-driven tasks.
• Be able to collaborate with excellent communication and relationship management skills.

Qualifications: BS in Cognitive Science with 6 years of Experience

• Prior work experience in managing custom research projects.
• Experience with research methods such as quantitative and qualitative.
• Experience with analytical software such as Q, SPSS and Qualtrics.
• Experience in leading organisations to greater maturity in the capture and use of operational and external data to develop insights.
• Expertise in data modelling, transformation and visualisation, with skills in Microsoft Power BI, Azure Analysis Services DAX query development, SQL and Excel.
• Strong written and verbal communication skills.
• Strong skills in developing innovative solutions to overcome roadblocks and system limitations.
• High level of attention to detail and the ability to work with large amount of data and reporting.
• Leadership capability to support a small team of business intelligence professionals.
• Ability to translate customer requirements into insightful, future-focused visualisations that inform decision-making.
• Ability to manage multiple projects concurrently, ensuring timely, high-quality project completion.
• Ability to translate data into actionable insights.

Qualifications: BA in Media Studies with 8 years of Experience

• Experience in work with digital marketing and media data and metrics.
• Experience in using statistical and forecasting techniques.
• Familiarity with data visualization software such as Tableau, Looker, Qlik or Power BI.
• Knowledge of attribution modelling.
• Understand Python code enough to execute.
• Excellent verbal and written communication skills.
• Excellent SQL for both data manipulation and querying.
• Track record of dealing with customer service data sources and metrics (e.g. NPS, call handling data).
• Skills in data analysis and report building using reporting tools (e.g. Facebook Analytics, Power BI, Google Data Studio, Google Marketing Platform).
• Ability to manage multiple projects at any one time, and deliver results to deadlines.
• Passionate about data and detailed accuracy.
• Self-motivated and able to work well with individuals at all levels and across markets.

Qualifications: BS in Quantitative Finance with 5 years of Experience

• Experience with SQL, R, and Python.
• Experience with Tableau.
• Experience leveraging social media data to drive creative strategies.
• Experience in social media, market research or data and analytics (including relevant education ie. data science).
• Experience with native analytics and social listening platforms.
• Analyst experience working with behavioural data within the industry or at a data marketing/analytics agency.
• Exposure to business intelligence tools such as Tableau, PowerBI or similar.
• Strong data visualisation and storytelling skills.
• Proficiency in Excel and PowerPoint (SQL).
• Numerical, financial and research analytical skills.
• Ability to manage shifting priorities within tight timeframes.
• Fluent in English (others, in particular any major European languages, are welcome, given the international nature of clients and partners).
• Detail-oriented, an innovative thinker and poised presenter who thrives in a fast-paced environment.

Qualifications: BA in Education with 4 years of Experience

• Experience pulling data for analysis work from a cloud environment (data warehouse/data lake).
• Prior experience of conducting brand lift studies with Kantar, Nielsen and/or activation platforms.
• Experience working in data analysis and/or insight delivery with a proven record of creating business value from data.
• Experience visualizing data with tools like Tableau.
• Visa experience or knowledge of the payments industry.
• Working knowledge of digital activation platforms across search, programmatic and social environments.
• Understanding of statistical methods including t-tests, ANOVA and linear/logistic regression including practical application in setting up campaign/channel testing using these methods.
• Excellent PowerPoint and Excel skills.
• Basic SQL coding capabilities.
• Strong verbal, written, and interpersonal skills.
• Basic level of proficiency in manipulating data from a variety of sources.
• Ability to analyze and translate data-based findings into clear, relevant and actionable insights.

Qualifications: BS in Computational Social Science with 7 years of Experience

• Experience in working with handling large data sets (particularly operational data) in a cloud-based platform such as the Google Cloud Platform (GCP) product.
• Experience in SQL, SAS, Python, R or other analysis and modelling packages.
• Experience with JDA Space Planner or any other planogramming software.
• Experience in research, insights, marketing and or business departments in the luxury and/or retail industry.
• Programming experience with DAX and Python.
• Basic understanding of data structures, SQL and data-related best practices.
• Basic statistical knowledge/background.
• Basic understanding of big data, artificial intelligence and machine learning principles.
• Understanding business issues, including working with stakeholders to understand their decisions and the opportunities these present.
• Knowledge of data and analysis techniques, design a technical approach to addressing the business issue. Logical, end-to-end thinking from the outset.
• Good multi-tasking abilities, flexibility, and patience in a fluid environment.
• High level of proficiency with Microsoft Power BI.

Qualifications: BA in Liberal Arts with 6 years of Experience