• Manage stakeholder relationships and gather the necessary inputs to inform 
• Prioritize the team’s project queue
• Enable Product and Marketing strategy development 
• Decision-making through holistic data analytics 
• Development of actionable recommendations
• Support key business initiatives by generating insights from multiple internal and secondary data sources
• Own insights and recommendations from the analyses 
• Translate them to executive level audiences to communicate performance drivers and priorities
• Act as subject matter expert on analytics across all digital platforms (such as: Amplitude, Segment, Google Analytics, Marketo, Tableau)
• Integrating disparate data sets to understand trends across the business
• Develop, maintain and monitor actionable dashboards that surface root causes
• Collaborate with Product and Marketing stakeholders to determine data 
• Reporting requirements for new features

Skills: Stakeholder Management, Project Prioritization, Product and Marketing Strategy Development, Data Analytics, Actionable Recommendations, Executive Communication, Subject Matter Expertise, Data Integration and Dashboard Development.

• Passionate about using data to drive insights
• Optimizations that create better connections for consumers 
• Improve bottom line business results.
• Practical application of data to key accounts
• Work directly with department and account leads
• Executive Director of Data and Analytics in Europe.
• Define data projects and roadmaps for clients
• Get their hands on the work to deliver exceptional results.
• Extensive analytics and data expertise, client service/agency background
• For the right person this role offers the chance to shine on top tier clients
• Impact experiences that touch millions, scope
• Build out a team to deliver on vision.
• Establish the Product Analytics function as being consultative partners whose insight and recommendations drive products forward.
• Partner closely with product managers to identify the adoption and success behaviors of the products using data and metrics to help them to ask the right business questions.

Skills: Passion for Data-Driven Insights, Consumer Connection Optimization, Business Results Improvement, Practical Data Application, Collaboration and Leadership, Strategic Project Management, Analytical Expertise and Client Service, Team Building and Leadership Development.

• Work closely with leaders across Marketing, Buying and other business departments to support and implement high-quality, data-driven decisions.
• Lead cross-functional teams using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
• Make recommendations for new metrics, techniques, and strategies to improve team performance and measurement in the future
• Define the data elements and data structure that teams should leverage to enable analytical and reporting capabilities for business development team
• Design and influence operational best practices for reporting and analytics to enable the team to scale
• Prepare and deliver business reviews to the senior management team regarding progress and roadblocks
• Work with engineering and the data warehouse to enable the appropriate capture and storage of key data points
• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
• Participate in strategic and tactical planning discussions.
• Provide thought leadership on product data instrumentation and data requirements and help capture the right level of data early on in the product requirements phase.
• Synthesize business insights and communicate a data narrative around product metrics, tying this into the overall strategy.

Skills: Data Analysis and Modeling, Cross-functional Leadership, Reporting and Dashboard Development, Metrics Development, Data Structure Design, Operational Best Practices, Communication and Presentation, Data Integration and Retrieval

• Develop deep partnerships with engineering and product teams to deliver on major cross-functional measurements, testing, and modeling efforts to define and build data-informed business strategy and roadmaps
• Foster data-informed decision making, hypothesis generation, and experimentation throughout the Product org and broader company
• Manage insight generation for near and long term goals in understanding user behavior, and propose roles that can advance these efforts
• Manage organization of disparate data sets across multiple systems and ensure data quality
• Develop an investment strategy to define, grow and maintain an exemplary Analytics team that is able to gather data and synthesize insights quickly and accurately
• Be a thought leader and evangelist to drive adoption and knowledge at all levels of the organization
• Develop a strategy for reducing the need for one-off data requests
• Develop comprehensive e-commerce data strategy considering business requirements and feasibility
• Successfully build a framework for repeatable and value accretive analytics as a core business process for the e-commerce business
• Define, plan and execute targeted analytics projects aimed at enhancing conversion, user experience and other value creating objectives

Skills: Cross-functional Collaboration, Data-driven Decision Making, Strategic Insight Generation, Data Management and Quality Assurance, Team Leadership and Development, Thought Leadership and Advocacy, Data Request Optimization, E-commerce Analytics Strategy

• Lead teams of analysts and most complicated projects.
• Entrusted with projects tied directly to launching and accelerating ventures
• Drive investments and do business, and generating operational revenue.
• Responsible for managing everything from discovering new audiences
• Customer bases to building new ways to connect ventures to those audiences.
• Even pivoted to lead some of the very ventures
• Counted on for bias for action, self-reliability in problem solving.
• Ability for organization of, planning for, and execution to success of previous efforts.
• Ensure the pipeline of data required for these projects is established and automated
• Build and manage a small e-commerce data team in close collaboration with the overall data analytics team
• Own end to end analyses to identify key drivers of emerging trends and recommend actions to address
• Propose, implement, and analyze A/B tests to optimize funnel conversion and program performance

Skills: Leadership Skills, Project Management, Market Research and Customer Insight, Adaptability and Flexibility, Problem-Solving Skills, Organizational Skills, Data Management and Analysis, Team Collaboration and Management

• Develop and analyze surveys and metrics
• Conduct data analyses, such as regressions, factor analyses, t-tests and ANOVAs.
• Communicate findings and recommendations on critical initiatives and influence leaders to take action on those findings.
• Provides management support to the Human Resource function in the areas of people metrics, reporting, and advanced and predictive analytics.
• Supports the leadership team to identify business challenges and use data analysis to help influence changes to the operations, process or programs.
• Utilizes technology and analytical tools to develop and analyze enterprise-wide people and other cross-functional data
• Communicates findings to senior management via formal presentations, standard management reporting artifacts on a periodic/quarterly/annual basis.
• Works as the key representative to the external benchmarks and key surveys supporting the HR function.
• Partner closely with IT to build the required system functionality to collect, analyze and present data
• Develop predictive models for attrition, high performance, and recruiting demand
• Serve as an active participant on cross-functional project teams and provide guidance and training to teams in asking appropriate questions, interpreting data, and translating into action.

Skills: Survey Development and Analysis, Statistical Analysis, Data Visualization and Communication, HR Metrics and Analytics, Predictive Analytics, Technology Proficiency, Cross-Functional Collaboration, Project Management and Team Collaboration

• Build, deliver, and implement the strategy for digital and customer analytics (including the use of predictive analytics  and personalisation), online testing and optimisation.
• Lead and manage the analytic functions (headcount of three within 12 months).
• Deliver high-quality data reporting with pro-active conclusions and recommendations.
• Lead the multivariate testing area looking to improve the velocity of the number of tests can run in parallel contributing a strong roadmap with key features to drive up customer NPS and commercial success.
• Ensure the analytics function supports key stakeholders the product, e-commerce  and marketing teams with the relevant data and analytics reporting and dashboarding required to achieve the agreed KPIs
• Define and deliver the strategy to deliver a stable and cost-effective analytics technology platform
• Drive and optimise the implementation of Google Analytics, the chosen visualisation tool and other tools across all websites and apps.
• Define the data science agenda - including ownership of key commercial levers such as the hotel sort algorithm.
• Supported by proactive suggestions to feed into the product roadmap based on the data available

Skills: Digital Strategy Development, Team Leadership and Management, Data Reporting and Analysis, Multivariate Testing and Optimization, Stakeholder Management, Technology Platform Management, Data Science and Algorithm Development, Strategic Planning and Roadmapping

• Develop a process to understand and extract Network Design Requirements from USC Regional and CBU Strategic Plans.
• Develop a core capability on network optimization to lead relevant, high-value projects across USC business.
• Lead and develop a team of SC analysts to evaluate, identify, and recommend changes to SC network, customer order management
• Finish goods and raw material inventory management to drive annual SC cost reductions, cost control, or improved performance.
• Partner with Transportation and Warehousing Category leads to align data and manage network requirements and decisions impacting location and throughput activity of service providers
• Develop a process to continuously evaluate the Manufacturing and Distribution network design to align with 5-year strategic narrative requirements of the USC Region and support IBP plan execution
• Accountable for the comprehensive analysis of network alternatives and associated impacts for adding or subtracting network capacity or capability
• Primary accountability to deliver annual savings targets (ROC’s) through network design, Inventory Management and customer programs that will drive efficiencies in network
• Accountable to manage all major customer efficiency initiatives requiring the development of a strategy to prioritize and engage other CS and support, supporting the Rich Experience
• Accountable for supervising the objective analysis of FG and Raw Material management practices and for assessing adherence to best practice model objectives utilizing IQR and MRP toolsets

Skills: Network Design and Optimization, Supply Chain Analysis and Strategy, Cross-Functional Collaboration, Strategic Planning and Execution, Financial Acumen, Customer Engagement and Relationship Management, Data Analysis and Tools Proficiency, Leadership and Supervision

• Expertise in applying analysis and very structured thinking skills to deliver deep insights to very high-standards, across a wide variety of situations and client types.
• Ability to interpret analysis to technical and non-technical audiences, including senior management. 
• Producing client-ready Amobee Brand Intelligence documents.
• Proven verbal and written communication skills, including data visualization. 
• Must be able to be well-skilled in story-telling with data. 
• Should be able to understand client needs and produce client-ready documentation.
• Contribute to developing new modeling and analysis methodologies, and new Brand Intelligence products that can serve clients better and drive new revenue growth.
• Ensure that all Brand Intelligence Insights delivery is up to own internal quality benchmark and above industry standards.
• All Brand Intelligence Insights Activities are delivered to meet or surpass client’s expectations and in line with their project objectives.
• Ensure that the right structure and best talents in place to deliver brand promise in Brand Intelligence Insights.
• Obtain insights expertise support and exchange of learning from various disciplines within the insights and analytics ecosystem.
• Ensure all Client Key Performance Indicators (KPIs) are delivered.
• Provide total account management support for assigned Brand Intelligence accounts. 
• Execute the overall account strategy for assigned accounts to generate and maximize business for the Brand Intelligence business unit.

Skills: Analytical Skills, Communication Skills, Data Visualization, Storytelling with Data, Client Management, Innovation and Product Development, Quality Assurance, Account Management

• Work with Key Accounts at all levels within their organization, and foster relationships across all functions, including the executive team, insights and research, communications and marketing. 
• Responsible for overall client satisfaction, revenues and renewals.
• Develop a good understanding of the clients’ insights needs and the implications of using Brand Intelligence to achieve their organizational or business objectives
• Understanding Brand Intelligence proposition to identify and spearhead sales opportunities. 
• Responsible for business development plan, identifying prospects and support on winning new business.
• Drive new sales solutions that result in (a) fresh new revenues from prospects or (b) drives greater customer retention that translates to incremental revenue growth from existing Brand Intelligence customers
• Drive thought leadership for new ideas, with strategic input from a delivery perspective
• Have a regular and open dialogue with Brand Intelligence team members and have a clear view of their career progression capabilities.
• Provide job specifications to all members of the team and ensure timely appraisal of their performance on objectives to be met.
• Groom and grow all team members in all relevant aspects of their Brand Intelligence roles.

Skills: Key Account Management, Client Relationship Management, Insights Understanding, Sales Strategy Development, Business Development, Innovative Sales Solutions, Thought Leadership, Team Leadership and Development

• Complete and oversee regularly scheduled reporting of the team (daily, weekly, monthly) for internal and external purposes
• Ad-hoc reports for internal departments utilizing various DB reporting tools, such as MSSQL, Crystal Reports Enterprise, Oracle SQL Developer, Access, Excel, etc.
• Develop processes for reports, creates wiki documentation
• Provide training on said processes to satisfy reporting requests and/or to automate manual processes for efficiency and accuracy.
• Create and implement solutions that may include database objects, custom report design (utilizing SSRS for example) 
• Automation of reporting tasks (via a regularly scheduled MSSQL job calling multiple stored procedures for example).
• Lead the development of project plans and may assign and monitor tasks.
• Lead the development and generation of new reports to be provided to senior management across functional departments.
• Strong experience in implementing data governance processes and tools.
• Strong understanding of more than one business operation - Finance, Supply Chain, Manufacturing, Engineering, Customer Support.
• Experience in creating dashboards in Tableau that tell clear and crisp data stories.
• Strong understanding of data warehouse, relational and columnar databases.

Skills: Reporting Management, Ad-hoc Reporting, Process Development and Documentation, Training and Automation, Solution Development and Implementation, Project Management, Report Generation for Senior Management, Data Governance and Business Operations Understanding

• Create a data culture and a center of excellence to drive analytics adoption across the organization.
• Understand business needs and objectives in areas of Finance, Supply Chain, Engineering, Marketing, Sales  and Manufacturing organizations.
• Define enterprise-wide KPIs, metrics and reports to accelerate and improve their operations.
• Led a team of data visualization specialists to deliver actionable dashboards and reporting.
• Work with the data engineering team to put the right data infrastructure and model to support reporting deliverables.
• Build effective data governance  and data cataloging process and implement the right tools to support it
• Mentor the IT teams to create effective dashboards and improve their business and data analysis skills
• Train business organizations on data visualization tools to drive self-service reporting
• A passion for data and providing business solutions using data analytics.
• Strong leadership, planning, problem-solving, and communication skills.
• Experience leading large BI  and Analytics programs
• Experience in managing and leading business intelligence/analytics teams.
• Strong understanding of Amazon Web Services (AWS), S3, Redshift, Glue
• Statistical modeling in Python/R, Machine Learning, programming in Python/Java

Skills: Leadership and Team Management, Business Acumen, Data Strategy Development, KPI Definition and Reporting, Data Infrastructure Management, Data Governance and Cataloging, Training and Mentorship, Passion for Data and Analytics.

• Be responsible for fostering a culture of respect, integrity, and inclusion where everyone can do their best work
• Be a talent attractor to the organization
• Helping them develop the Technology and analytical skills they need to succeed and grow in their role
• A role model to the organization
• Create a clear point of view that comes from first-hand, large-scale experience with Microsoft and industry solutions.
• Build and execute the vision meeting or exceeding industry solutions, while enlisting partners in that success.
• Engage with the Core Finance Engineering team, FDE, ML and AI groups, and other engineering and Finance groups within Microsoft to get innovative strategic ideas and leverage them to deliver on technology North star
• Build connective tissue across ARC and external stakeholders via analytics, technology, and process.
• Manage a portfolio of projects. 
• Direct, counsel, and lead people, with relevant skills for taking current ongoing projects to the next level and supporting digital transformation in ARC.
• Partner with auditors, investigators, risk managers, and compliance managers to understand business requirements,
• Develop solutions and reporting based on available data sources, and provide ad-hoc analysis as needed
• Design, implement and integrate proof of concepts of technology (Machine Learning, AI, Robotics Process Automation, etc.), data and visualization projects.
• Create documentation, tools, and processes to support team goals. 
• Ensure integrity of all processes/data in audit-related applications including Audit Management system, EGRC, and other systems.
• Raise the technical knowledge of the group through training and continuous professional development.
• Identify and promote opportunities for simplification and proactively challenge existing processes.

Skills: Leadership and Management, Talent Attraction and Development, Industry Experience, Visionary Leadership, Cross-Functional Collaboration, Project Management, Technical Expertise, Process Improvement and Documentation

• Partners with SVP of Merchandising and other business leaders to develop, execute and drive key reporting initiatives.
• Provides analytical, tactical support and reporting to the merchandising team to identify and act upon business opportunities.
• Provide insights that aid near term and long-term decision-making for the businesses
• Conducts “hindsight” analysis to evaluate product performance and identify opportunities for future plans and strategies. 
• React in real-time to course correct and maximize results.
• Coaches and develops a team of analysts to build thought-provoking analyses and reports.
• Develop reporting around promotional strategies, that help the team drive results  and optimize marketing spend, and maximize results
• Create reporting templates for accurate “what-if” analysis around promotions, pricing, and seasonal strategies.
• Proactively uncover meaningful supply optimization insights not specifically directed by others. 
• Creativity in addressing business opportunity, continuous improvement.
• Process improvement driven. 
• Looking for ways to make processes more efficient.
• Work directly with IT to maintain data integrity.
• Make recommendations to account executives based on analysis of digital advertising strategies.
• Manage and report on digital analytics projects, to include timely completion and expert interpretation, as assigned by account executives and Drive leadership

Skills: Analytical Skills, Reporting Skills, Leadership and Team Development, Strategic Thinking, Communication Skills, Process Improvement, Digital Marketing and Analytics, Collaboration and Relationship Management

• Hire, retain and grow talent across the right mix of functional areas to meet CS reporting and analytics needs
• Building out timelines, key milestones, providing regular updates
• Analytics Management stakeholders and delivery against agreed-upon specs
• Work closely with other global CS Analytics functions
• Deliver, via team, high-quality interactive dashboards that meet stakeholder needs with a keen eye for data visualization
• Maintain an ecosystem of reporting pipelines in Airflow and ensure that Tableau dashboards stay up to date, collaborating with IT
• Deliver ad-hoc analytics requests as necessary
• Drive accountability within the team and effectively manage stakeholder expectations
• Resolve conflicts that balance speed to delivery and company needs, understanding and anticipating trade-offs
• Lead data investigations, uncover root causes and provide business sound solutions
• Coach and mentor direct reports on both technical development and soft skills
• Adapt and grow the India team as the business evolves

Skills: Talent Management, Project Management, Stakeholder Engagement, Team Collaboration, Data Visualization, Technical Proficiency, Analytical Problem-Solving, Leadership and Coaching

• Manage business tagging and tracking operations to support both small and large-scale digital marketing initiatives
• Execute tag management strategy and deployment within a tag container
• Working with paid media team members to configure appropriate code and conversions for a given online campaign
• Handle the implementation of tracking codes and oversee data collection on HTML-based websites and iOS/Android mobile apps
• Oversee and provide support for paid media processes including paid search, paid social, display, video and mobile campaigns
• Assist teams in all phases of ad serving, including contract management, trafficking, and inventory forecasting
• Assist clients and agency teams in defining the role of analytics in measuring business success.
• Configure analytics tools to accurately manage information about key business objectives and key performance indicators
• Create dashboards and reports for clients, perform ad hoc analysis
• Deliver in-stock reporting that looks at recent history and a true forward week of supply.
• Provide a comprehensive and thorough company OTB including accurate views of sales, margin and inventory.
• Utilizes and trains others in BI and story reporting, applies corporate values
• Authority as detailed in the Company’s Standard Operating Procedures.

Skills: Tag Management, Code Configuration, Implementation Expertise, Paid Media Management, Ad Serving Operations, Analytics Integration, Data Analysis, Inventory Management

• Efficiently deliver high-quality tactical analytics solutions, MI/reporting and analyses for the GBC’s Central Management functions and other senior stakeholders.
• Using industry experience and business knowledge, provide guidance and subject matter expertise to more technical analytics colleagues ensuring insights are relevant, well-understood and actionable by end-users.
• Maintain oversight of general data management and portfolio/business analysis across the wider GBC and share best-practices to ensure work is scalable and consistent with Aon and industry-leading standards.
• Possible future line management responsibility for Analytics resources embedded within individual GBC Business Units, including specialty broking teams, Portfolio Solutions and Claims.
• Ensure and manage appropriate access to required data and insights to support strategic objectives.
• Contribute to the development and maintenance of high-quality reference data.
• Identify and develop innovative opportunities to use data to enhance the GBC’s value proposition for clients, improve operational efficiency and/or increase revenue.
• Remain up-to-date and technically proficient with analytics tools and techniques to:
• Efficiently manage and analyse structured datasets, apply transformations, filters and conditions
• Develop functional POCs and tactical solutions to deliver immediate value for business users

Skills: Tactical Analytics Solutions Delivery, Subject Matter Expertise, Data Management Oversight, Line Management Experience, Data Access Management, Reference Data Management, Innovative Data Utilization, Technical Proficiency in Analytics Tools and Techniques

• Communicate effectively between technical and non-technical colleagues
• Create meaningful data visualizations that communicate specific findings and generate actionable insights, and which may contribute to internal and market-facing presentations.
• Manage the delivery and prioritization of Data  and Analytics projects, which may include supporting e.g. portfolio segmentation, product innovation, exposure and underwriting performance management, client benchmarking, carrier management, Aon network collaboration, or Structured Portfolio Solutions (SPS) including Aon Client Treaty.
• Communicate ongoing progress of projects and work with stakeholders to manage any risks to delivery.
• Coordinate with colleagues as required across Aon and contribute to the wider Aon Data Aon and Analytics community, e.g. UK Business Insights, AGRC Actuarial  and Analytics, AUM, Exposure Management, ACIA, Aon Inpoint, Country/Regional Leadership, and Aon’s Global Specialties.
• Complete any additional ad-hoc analysis on the portfolio or GBC UK's business performance as required by various internal/external stakeholders from time to time.
• Responsibility for working in accordance with the Aon UK Limited Risk Management Framework, and compliance with the Aon UK Limited policies, including participation in the management of risks (including completion of mandatory training) that may adversely affect the business, interests or reputation of any Group Company.
• Creating accurate and actionable reports based on analysis of digital advertising campaigns
• Prepare ad schedules, optimize digital strategies and adjust budget.

Skills: Effective Communication, Data Visualization, Project Management, Stakeholder Management, Collaboration, Analytical Skills, Risk Management and Compliance, Digital Advertising Expertise

• Must have strong knowledge and experience of third-party ad serving and site-side tracking (DCM, GTM, Adobe/Google Analytics, etc.) tech as well as advertising attribution methodologies (rules/algorithmic based)
• Robust experience with data visualization platforms – Tableau 
• Development experience in scripting languages (SQL, Python, etc.) 
• Strong understanding of online advertising measurement and analytics, with the ability to provide meaningful insight to internal and external stakeholders
• Understanding and familiarity with advanced analytics practices, analytical experience
• A team player with the ability to work independently
• Solid verbal and written skills - can accurately present detailed information
• High Proficiency in Microsoft Office Suite (Excel, PowerPoint)
• Ability to work under pressure and manage multiple priorities
• Understanding of statistical analysis and a pragmatic attitude to modeling, emphasizing completeness and consistency and usefulness of models
• Excellent diagnostic skills to analyze and identify discrepancies within sophisticated models and effectively give guidance to troubleshooting.
• Advanced data analysis skills - e.g. database query construction, data warehousing, forecasting and data mining and experience in business analysis.
• Resourceful, self-motivated and able to work independently.

Qualifications: BS in Data Science with 4 years of Experience 

• Strong analytical experience
• Expert Excel skills, SQL coding skills
• Personal Loans/Credit Cards analytical experience
• Commercially minded - can turn numbers into business decisions
• Self-starter with ability to think independently
• Ability to self-manage multiple projects and priorities
• Hands-on experience of champion challenger strategies
• Experience with R, management experience
• Experience directly related to advertising analytics 
• Proficient with Microsoft Excel, Word, PowerPoint
• Experience with G suite, FaceBook Ads experience, and Presentation experience.
• Able to adjust quickly in a fast-paced and changing environment.
• Willingness and flexibility to offer full support to brand team and CMI colleagues
• Experience working across multiple data sources and be capable of participating in and understanding how multiple systems communicate information to one another.

Qualifications: BS in Statistics with 2 years of Experience 

• Experience leading analyses across Marketing Mix Modelling, attribution modeling, A/B test, and custom econometrics analyses.
• Enjoys being hands-on in analysis and capable of directing analysts on delivering the best work possible.
• Have experience in the integration of offline data in attribution, integration of addressable TV in attribution models.
• Good grasp of statistical and optimization techniques and bringing value to clients.
• Experience in a media agency or an internal analytics team.
• Familiar with Google suite of advertising tools, e.g. including CM and GA360.
• Ability to partner with Product and Technology teams to help productise innovations.
• Possess business acumen and ability to work in ambiguous ever-changing environments. 
• Have serviced internal and/or external commercial clients.
• Enthusiastic about driving innovation, working in connected networks and have demonstrated evidence in this regard.
• Experience and interest in agile processes, e.g. Trello/Jira.
• Hungry for creating something new and making a mark.

Qualifications: BS in Mathematics with 3 years of Experience 

• Mastery of A/B and incrementality testing best practices with a proven track record including experience in simulation and power analysis
• Excellent problem-solving skills, self-motivated with the capacity to work under pressure and tight deadlines
• High attention to detail and a track record of managing multiple, competing priorities
• Excellent written and oral communication/presentation skills
• Aptitude and drive to learn new tools quickly.
• Intellectual curiosity for what drives the business
• Knowledge of data/analytical tools – Strong experience with SQL, relational databases
• Experience using data visualization tools like Tableau or Microstrategy
• Knowledge of statistics and modeling
• Background in content/media, marketing tech, subscription business, and/or internet industries preferred - an understanding of e-commerce analytics, marketing analytics, experimentation, membership/loyalty analytics and revenue management techniques 
• Experience in any one of the following: big data, Adobe/Omniture, Salesforce, AWS, Python, R, Jupyter, SAS, SPPS, Matlab, other analytics/data science tools. 
• Exposure to Agile and process management.

Qualifications: BS in Computer Science with 4 years of Experience 

• Strong ability to utilize analytical, math and statistics techniques to measure performance, interpret data, identify risks, and evaluate opportunities.
• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on-premises and cloud-based data sources.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions and developing actionable recommendations for business units.
• Experience working with and creating databases and dashboards using all relevant data to inform decisions.
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
• Intermediate to advanced proficiency with Microsoft Office Suite, Power BI, and Google to perform calculations, organize and format information, create visualizations/dashboards, etc.
• Proficiency with programs such as Alteryx to extract data, automate workflows and reports, and create statistical models.
• Ability to use data to back up assumptions, develop business cases, and complete root cause analyses.
• Ability to think creatively to provide meaningful analysis despite imperfectly defined questions.
• Strong understanding of direct marketing methodology and response measurement
• Experience in database marketing, market research, or marketing analytics including managing large data sets, developing A/B tests, creation of list segments, and producing ad hoc reports.

Qualifications: BS in Information Systems with 6 years of Experience 

• Experience in managing data teams including data analysts and/or data scientists.
• Experience in solving business problems using data, data science, and advanced analytical methods.
• An investigative mindset and a passion for telling data-driven stories.
• Excellent communication skills and a record of working cross-functionally to achieve results.
• Experience in building statistical models, experimentation, and predictive models.
• Expert fluency in SQL-based data manipulation. 
• Experience in scripting with SQL, extracting large sets of data, and design of ETL flows.
• Fluency in scripting languages such as Python/R.
• High level of comfort creating dashboards in Looker/Tableau or comparable software.
• Passion for solving real user problems with data-driven solutions.
• Closely partner with business, product, engineering, research and design to influence and inform teammates’ decisions throughout the product lifecycle.
• Thrive in a dynamic fast-paced entrepreneurial environment. 
• Unafraid to dive into an unfamiliar problem but humble enough to make mistakes and iterate.

Qualifications: BS in Business Analytics with 5 years of Experience 

• Professional experience of leading people and developing junior colleagues
• Professional experience of leading/managing complex, data-driven projects
• Experience of working on complex data driven, analytics and visualisation projects
• Advanced data analytics technical experience or qualifications in SQL, Excel and at least one of the following: Tableau, Power BI, Alteryx, Python, SAS, VBA
• Ability to think creatively, generate innovative ideas and deliver effectively with what can be ambiguous requirements
• An eye for detail, and a structured and thorough approach to delivering high quality output
• Ability to build and develop great client relationships
• Exceptional analytical capabilities and a passion for problem-solving
• Expert in JavaScript (able to write product code)
• Expert knowledge in Google Analytics, Google Tag Manager (other tag management system)
• Analytical mindset and great attention to details
• Excellent communicator, well organized, great attitude and good team player

Qualifications: BS in Economics with 2 years of Experience 

• Experience in consumer research or analytics
• A history of skill and innovation in synthesizing complex findings, data visualization and storytelling, and client presentation and partnerships
• Ability to manage a portfolio of research projects with multiple business partners in a dynamic and evolving organization, solid project management skills
• Experience with NPD, POS data, buyer profiles and basket analysis
• Survey design and programming experience in self-service platforms
• Fluency in data visualization
• Familiarity with Keynote and advanced Microsoft Excel skills
• Experience with Linkfluence or other social listening tools.
• Experience with Edited or other retail intelligence tools
• Familiarity with current sport, fitness and retail landscape (digital and physical), including key footwear and apparel competitors, emerging trends, and current events
• High attention to detail, excellent written and verbal communication

Qualifications: BS in Operations Research with 3 years of Experience 

• Experience with market research in FMCG / Consumer Health care / CPG industry
• Understanding of management principles and market research methodologies and processes
• Any experience in running studies amongst experts like health care professionals, chemists, etc
• Demonstrates ability to influence cross-functional and upper management to impact decision-making 
• Willingness to "have an opinion" backed up by insight and analytics and the confidence to influence team members in meetings and one to one basis
• Strong interpersonal skills, data visualization skills
• Ability to think analytically to understand complex or ambiguous problems or issues and communicate solutions/conclusions clearly and concisely
• Technical market research and analytical expertise and conversant in a range of quantitative and qualitative ad hoc research techniques and syndicated business analyses
• Demonstrated ability to understand, interpret and apply advanced analytics to solve business issues
• Strong team player, yet good level of independence
• Good presentation skills and articulate
• Highly numerate and adept at working with data.
• Creative, open-minded, passionate about going beyond the obvious

Qualifications: BS in Engineering with 7 years of Experience 

• An excellent understanding of the Machinery of Government
• Strong leadership and coaching skills to engage and motivate the team
• Proven experience leading in an analytical environment
• Ability to influence within an organization and with external agencies 
• Promote work and create positive change
• Have a strong curiosity to test the “what”, “how” and “why”
• Courage to “pivot” when required to make an impact
• Have an understanding of working in an agile environment and driving innovation.
• Be a player in only one skill which is “Financial Modeling”.
• Have delivered on models like Valuations, Fund-Raise, Mergers, and Carve-outs, Equity Research, Comps, Transaction Analysis, etc.
• Experience in supporting an investment bank or a Private Equity firm
• Have communication skills to handle international clients and a team of Research Analysts

Qualifications: BS in Finance with 2 years of Experience 

• Have demonstrated ability to perform analysis that drives business initiatives
• Experience analyzing both online and offline marketing programs as well as working in a SaaS, B2B, or Sales oriented industry
• Experience in analyzing and interpreting qualitative and quantitative data/results
• Experience and expertise with financial, statistical, and marketing concepts
• Experience working with relational databases through tools such as SQL, PHP, R and Shiny R Studio preferred
• Have familiarity with advanced analytical techniques such as clustering, decision trees, logistic regression, and recommendation systems.
• Consistently works well with a diverse group of colleagues and team members with a supportive attitude
• Have exceptional written and verbal communication
• Have the ability to take data and synthesize it into an easy to follow the presentation
• Be highly organized, detail-oriented, and able to manage/execute multiple projects simultaneously.

Qualifications: BA in Engineering with 5 years of Experience 

• Outstanding organizational skills with demonstrated ability 
• Handle the fast-paced workload, delegate effectively and manage multiple products concurrently
• Have strong data mining skills, and report building acumen
• Have SQL experience
• Strong computer skills (MS Office and other inventory planning packages and tools)
• Advanced Microsoft Excel skills (Indexing, Lookups, If Statements, etc.)
• Strong analytical skills, including forecasting and budgeting methodologies
• Strong written and verbal communication skills
• Demonstrated talents for building collaborative partnerships
• Experience in retail analysis, merchandising, or planning

Qualifications: BS in Data Science with 5 years of Experience 

• Have basic SQL knowledge.
• Experience with Business Intelligence tooling (preferably Power BI, but could include Qlik or Tableau).
• Intermediate level of proficiency in Excel.
• Understand data structures and models.
• Have a general understanding of more advanced analytics tools and techniques.
• Have demonstrated ability to bring detailed insurance industry and product knowledge/experience to analytics projects.
• Have general skills in statistical and mathematical reasoning, business communication and stakeholder management.
• Have demonstrated ability to communicate complex and technical information to non-technical colleagues and senior leaders.
• Have excellent verbal and written communication.
• Have comparable role managing the delivery of analytics, experience involving data analysis to solve business problems
• Experience directly in a broking or underwriting environment.

Qualifications: BS in Statistics with 4 years of Experience 

• Be a creative problem solver and have extensive experience working with A/B testing in product development and marketing decisions
• Can unimpeded do complex queries in SQL or similar language
• Have technical skills to perform advanced analytics
• Be great at communicating and visualizing information 
• Decision-makers and ensuring the correct implementation of analytics
• Be good at working with different teams and needs
• Be used to prioritizing work based on company goals
• Experience of academic education, preferably within data science combined with economics
• Experience in Business Intelligence and analysis
• Have advanced knowledge and experience of BI and analytics tools such as PowerBI, Qlik, Tableau, or Looker.
• Know Amazon Web Services (Athena, Redshift, Sagemaker)
• Know Python, Qliksense, Informatica, Talend, MS SQL

Qualifications: BA in Computer Science with 2 years of Experience 

• Have an undergraduate degree in a quantitative field or related experience.
• Have advanced SQL experience and/or extensive familiarity with languages such as Python or R.
• Experience in an analytics-based consulting role, using large data sets to build strategic, impactful, business-driven insights for customers (either as an internal analyst or external consultant).
• Desire to solve problems that do not have a predefined solution and may require to think outside the box
• Have customer-facing experience, including managing project requirements and communicating project results
• Have strong written and verbal communication skills
• Comfort in working with a high degree of autonomy in a fast-paced, loosely structured startup environment
• Experience developing machine learning solutions and articulating the results to non-technical audiences
• Experience with delivering analytical solutions with specific life sciences data sources
• Experience managing performance
• Have any experience delivering SAAS software preferably with some commercial strategy experience in life science.

Qualifications: BS in Mathematics with 3 years of Experience 

• Experience in a digital analytics/marketing role
• Data-driven mindset, numbers should be what drive a decision-making
• Experience working with large data sets
• Extensive knowledge of Adobe Analytics & Google Analytics 360
• Demonstrated experience using data visualization tools and techniques (Tableau, PowerBI, etc..)
• Experience using SQL, R or equivalent data management and analysis languages
• Demonstrated experience with conducting quantitative analyses
• Demonstrated experience managing stakeholder relationships and managing/prioritizing project pipelines
• Comfortable crafting data-driven narratives and ability to communicate complex quantitative concepts to a general audience
• Self-starter with an enabler mindset
• Digital Analytics experience – agency or client-side.
• Experience with Google Analytics and Google Tag Manager
• Technical knowledge to be able to work alongside developers and data scientists.
• Ability to explain complex analysis to non-technical audiences.
• Strong proficiency with media and web tracking solutions such as Google Analytics, Adobe Analytics and Google Ads
• Strong proficiency with creating and manipulating Tableau reports using single or multiple data sources.

Qualifications: BS in Information Systems with 5 years of Experience 

• Experience managing a complex, cross-functional organization where teams need to collaborate and integrate with other teams across many disciplines
• Have a consistent demonstration of insights-driven approach in developing recommendations and proposals to support business or product strategy
• Have strong interpersonal skills and ability to influence through creating fellowships
• Experience with data visualization tools like Looker and Amplitude
• Experience in marketing analytics, database management
• Have experience with setup and implementation (Google Analytics, Tag Manager, Data Studio)
• Have demonstrated analytic and critical thinking skills, and the ability to derive insights/data storytelling
• Have email marketing and experience with marketing automation tools
• Experience in a Data Analytics role ideally within consulting with leadership capabilities
• Have exceptional interpersonal skills, articulate and be able to consult with clients simultaneously
• Have hands-on experience using tools such as SAS/Python/R and data modeling fundamentals
• Have continually display great attention to detail
• Have the ability to deal with sensitive matters tactfully and confidentially

Qualifications: BS in Business Analytics with 7 years of Experience 

• Will have strong experience getting the best out of others and driving a team.
• Have strong experience delivering Data strategies for the business
• Be able to take an organization on a journey to be able to answer the why questions
• Must have experience leading teams
• Have financial services experience would be highly desirable
• Have strong data visualization skills
• Have excellent communication skills and stakeholder management
• Have strong statistical background to apply across a number of areas using both simple and complex statistical models.
• Skill in using statistical/data analytics software e.g. SAS, R, Python, SPSS, SQL, etc. (SAS, Python, or R preferred), SQL 
• Know regional databases, ideally SQL for data loading and transformation
• Have experience with visualization tools Tableau/Power BI
• Have the ability to work autonomously, problem solve and drive outcomes
• Experience with Google and Adobe Analytics
• Experience in healthcare marketing to both patients and HCPs
• Expertise in Microsoft Office products, particularly Excel and PowerPoint

Qualifications: BS in Economics with 3 years of Experience