Job Summary:

• Managing the deployment of client deliverables across attribution, TV attribution, testing and/or MMM. 
• Working with existing code, apps and template, and being able to troubleshoot and stand as an expert for analysts and data scientists.
• Analyse media performance and help junior or inexperienced analysts in delivering a solution.
• Train analysts or data scientists on existing solutions.
• Troubleshoot code and support issues with technical deployment of solutions.
• Develop features in existing code bases or new MVPs that align with regional and global roadmap, and push solutions to be ever cutting edge.
• Effectively communicate the attributes of solutions and products, both their pros and cons, to internal or external C-suite stakeholders.
• Attend training sessions, seminars and workshops, and generally be abreast to the latest in tracking, measurement, mar-tech and ad-tech space.
• Manage the deployment, set up and access of data sets, such as clean rooms like Ads Data Hub, Amazon Marketing Cloud, and Facebook’s Advanced Analytics, some in their nascent stage.
• Expert in SQL (preferably Big Query) and R, including experience writing and editing R packages.
• Ability to manage large data sets utilising SQL, R and experience in cloud technology (ideally GCP / Big Query and AWS).
• Interest and experience in learning new languages or database frameworks (e.g. Athena, Python, R-Shiny, etc.).

Skills on Resume:

• Project Management (Soft Skills)
• Technical Troubleshooting (Hard Skills)
• Mentoring and Training (Soft Skills)
• Code Development (Hard Skills)
• Communication Skills (Soft Skills)
• Continuous Learning and Adaptation (Soft Skills)
• Data Management and Deployment (Hard Skills)
• Technical Expertise (Hard Skills)

Job Summary:

• Gain an understanding of the business verticals and help in setting the departmental vision for the use of data in making key business decisions
• Craft and execute roadmap for addressing business challenges by deploying modern data analytics and data science approaches
• Develop frameworks for delivering actionable insights that guide business decisions while prioritizing across business units and other stakeholders
• Mentor team members to execute on end-to-end predictive analytics, forecasting, or data visualization projects. 
• Gathering requirements from stakeholders, writing ETL pipelines for data collection and cleaning, carrying out exploratory data analysis, building models or analytics dashboards, and automating deployment of actionable insights to the business
• Collaborate with Data Science and Machine Learning team to leverage existing data pipelines and models for analytics and to transform insights into applied models for optimal decision-making
• Engage external teams to identify and understand opportunities to improve planning and decision-making using Advanced Analytics
• Promote holistic and scalable solutions by collaborating with other technical partners on project planning, design, and execution
• Build and lead a team of data scientists, analysts, and operations researchers
• Gather requirements and respond to stakeholder requests to ensure the team backlog is focused on impactful work
• Apply data mining, analysis, machine learning, and visualization skills to draw meaningful insights

Skills on Resume:

• Business Acumen (Soft Skills)
• Data Analytics Expertise (Hard Skills)
• Strategic Thinking (Soft Skills)
• Leadership and Mentorship (Soft Skills)
• Technical Proficiency (Hard Skills)
• Collaboration and Communication (Soft Skills)
• External Engagement (Soft Skills)
• Team Building and Management (Soft Skills)

Job Summary:

• Define, develop harmonized measurement framework for the WAU segment across digital touchpoints and secure the implementation across business units
• Continuously monitor the external environment and competitive landscape
• Monitoring, measuring and reporting online marketing initiatives
• Provide in depth analysis and provide profound suggestions for improvement areas
• Use sound business analysis to support projects and investments in digital activities
• Collaborate with internal and external global analytics partners and make use of established tools to derive relevant insights (Jpard, google analytics, SEM Rush)
• Support specifically the digital hub, communication and web shop teams with insights, analysis and KPIs
• Collaborate with other taskforce members to combine different data sets across the value chain and enable the full team work truly data-driven
• Support a test and learn approach by defining, executing and analyzing test methods
• Collaborate with insights functions to provide a deeper and better understanding of the WAU consumer/shopper and segments
• Implement together with the CI Managers the integration of Digital Insights across projects
• Continuously scout, search and recommend for new tools, systems, ways of working to improve analytics approach
• Key interface with IT to secure Data cleaning dashboards maintenance, etc.
• Integrate relevant non Digital information in to the analysis and recommendations

Skills on Resume:

• Data Analysis (Hard Skills)
• Business Acumen (Soft Skills)
• Analytics Tools Proficiency (Hard Skills)
• Communication Skills (Soft Skills)
• Strategic Thinking (Soft Skills)
• Collaboration and Teamwork (Soft Skills)
• Test and Learn Approach (Soft Skills)
• IT Interface (Hard Skills)

Job Summary:

• Design and develop regular reports to highlight strong business performance
• Run regular detailed reports and provide confident insights on any key trends identified
• Interpret data and communicate clearly to the Leadership Team along with reasoned recommendations to improve performance
• Organize and analyse raw data to drive actionable insights
• Ad Hoc analysis as required and to review performance of new business initiatives
• Maintain details of competitors’ growth, business models and pricing to support business strategy decisions
• Investigate, recommend and explain drivers of change 
• Advanced MySQL or similar relational database language
• Tableau Experience, creating and managing data sources and producing complex insights in a presentable format
• High commercial awareness and ability to effectively prioritise innovative ideas
• Eagerness to learn more
• Working knowledge of Google Analytics or other web based analytical tools (e.g. Heap Analytics)
• Wider knowledge of marketing metrics and data sources relating to paid and organic search, display, video and/or social
• Working in a fast-paced environment to deliver high quality analysis
• Entrepreneurial mindset with the ability to articulate new ideas and influence others to gain support

Skills on Resume:

• Data Analysis and Reporting (Hard Skills)
• Actionable Insights (Hard Skills)
• Ad Hoc Analysis (Hard Skills)
• Competitive Analysis (Hard Skills)
• Change Management (Hard Skills)
• Database Management (Hard Skills)
• Data Visualization (Hard Skills)
• Commercial Awareness and Innovation (Soft Skills)

Job Summary:

• Own the core Analytics data model, ensuring data integrity in all reporting
• Own key decisions for technical faults within the data model and ensure those faults are correctly identified and fixed
• Prepare for database expansion and optimization by studying plans and requirements
• Coordinating design and programming
• Perform ad hoc analysis to fuel strategic initiatives in corporate strategy, product development, and lead generation which will be presented via rich visualizations
• Immerse in frequent collaboration with IAS Leadership to garner feedback on existing solutions and to discover new ideas for development
• Collaborate with members of the team to create automated, scalable solutions
• Build the companies Advanced Analytics capabilities so that they can be integrated whilst enhancing the business value
• Be mindful of data governance, adhering to clean and accurate data
• Collaborate with the Data team to make the relevant data available for Reporting and Analytics.
• Enhance data capture and ideate on new data sources.

Skills on Resume:

• Data Modeling and Integrity (Hard Skills)
• Technical Troubleshooting (Hard Skills)
• Database Management and Optimization (Hard Skills)
• Design and Programming (Hard Skills)
• Ad Hoc Analysis and Visualization (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Automation and Scalability (Hard Skills)
• Advanced Analytics (Hard Skills)

Job Summary:

• Evaluate current data analytics framework effectiveness via stakeholder interviews and industry benchmark to provide sophisticated recommendation in creating future comprehensive analytics framework .
• Conduct data map readiness analysis to prioritize internal/external data assets acquiring initiatives and lay down a solid foundation for transformation work.
• Understand commercial data analytics requirements of different layer of the organization (management/operational view) and develop detailed dashboard and report tree to outlining critical insights for business team.
• Manage end-to-end transformational data analytics initiatives aligned with developed strategy to ensure disciplined execution of road map.
• Continuously identify cross-functional synergy to improve data analytics effectiveness and efficiency.
• Partner with the various teams within Global Security and cross-functional partners to define technology, analytics needs, requirements and goals.
• Apply expertise in quantitative analysis, data mining and presentation of data to develop visually compelling and accurate security reports and dashboards to support metrics, historical data trend analysis, and identification of opportunities to drive continuous improvement.
• Work with Data Engineering to understand existing security data and identify data quality improvements.
• Define data requirements and drive the development of key data sets to empower operational and exploratory analysis.
• Design, develop, test and launch new reports and dashboards into production.
• Automate and streamline data analysis where feasible.
• Provide guidance and develop data standards and reporting best practices.
• Maintain and support reports and dashboards running in production.

Skills on Resume:

• Data Analytics Evaluation (Hard Skills)
• Data Mapping Analysis (Hard Skills)
• Dashboard Development (Hard Skills)
• Project Management (Hard Skills)
• Collaboration (Soft Skills)
• Quantitative Analysis (Hard Skills)
• Data Engineering Collaboration (Soft Skills)
• Report Development (Hard Skills)

Job Summary:

• Provide detailed analysis and understanding of customers' needs and interests across different customer segments and products.
• Responsible for providing insight into the performance of squad's activity and identify actions to increase performance. 
• Following through to ensure change is delivered and measured.
• Set the standard for high quality and impactful output across the team.
• Support the development of a strong culture within Customer Analytics to attract and retain top talent.
• Play a key role in building the brand of Customer Analytics internally and externally by demonstrating the value Customer Analytics delivers for Customers.
• Responsible for the overall vision, strategy and operation of the Reporting and Visualization practice of People Experience Team
• Works directly with the People Experience Leads and key stakeholders to bring actionable insights and enable data-driven decision making
• Build, manage and mentor the reporting and visualization team
• Maintain and improve operations dashboards, and employee listening tools for People Experience Team
• Research and benchmarking for HR Analytics best practices
• Lead and manage a team of analysts and data scientists, ensuring their performance and development.
• Identify and evaluate data sources to enhance data acquisition methods and improve performance insights.
• Develop and maintain relationships with external data providers, internal users, and stakeholders.
• Optimize workflows, analytical approaches, and data acquisition processes for efficiency and completeness.

Skills on Resume:

• Customer Needs Analysis (Hard Skills)
• Performance Analysis and Improvement (Hard Skills)
• Change Management (Soft Skills)
• Quality Standard Setting (Soft Skills)
• Cultural Development (Soft Skills)
• Brand Building (Soft Skills)
• Reporting and Visualization Strategy (Hard Skills)
• Leadership and Team Management (Soft Skills)

Job Summary:

• Responsible for managing, coordinating, and creating inter-channel reporting with Portfolio Management/Investment Teams leads while drawing meaningful insights from campaign performance reports that tie back to client marketing goals.
• 2nd and 3rd party data vendors to derive insight and to establish activation use cases
• Work with internal stakeholders to development measurement plans, benchmarks, and learning agendas.
• Work with analytics team to bring statistics, modeling and machine learning to bear on managing advertising performance
• Experience working with and directing data management and development teams
• Responsible for cross-functional team coordination and communication
• A trusted client partner, responsible for client and inter-agency communication including reporting deliverables/timelines, requests and questions
• Responsible for training and mentoring Associates and Sr. Associates
• Produce summary and detailed reporting solutions for key performance indicators, utilizing data housed in multiple databases/systems
• Produce ad hoc reports to answer business questions quickly and thoroughly

Skills on Resume:

• Data Analysis and Interpretation (Hard Skills)
• Vendor Management (Hard Skills)
• Measurement Planning (Hard Skills)
• Analytics and Modeling (Hard Skills)
• Team Leadership and Management (Soft Skills)
• Cross-Functional Coordination (Soft Skills)
• Client Relationship Management (Soft Skills)
• Training and Mentorship (Soft Skills)

Job Summary:

• Maximise the profitability of the loans and credit cards portfolio through driving the pricing strategy
• Build unit of one profitability models across cards and loans which drive pricing and product decisions
• Deliver actualised back book unit of ones which the portfolio is monitored against and feeds into the budgeting process
• Deliver a price optimisation solution for loans new business
• Provide tactical and strategic insight into product/customer profitability and adjust pricing and product strategy accordingly to meet minimum return thresholds
• Recommend scorecard cut-off changes to drive profitability
• Active stakeholder in scorecard user interface, inputting requirements, testing and utilising the tool as it becomes available
• Pro-actively liaising with the technology team to drive delivery of recommendations and ensure rigorous testing of implementation
• Take ownership of external new lending relationships such as bureaus
• Design and develop MI and regular reporting for senior management
• Support and mentor analysts in the wider team
• Work as a team player supporting data requests and other ad-hoc tasks

Skills on Resume:

• Data Analysis and Modeling (Hard Skills)
• Financial Analysis (Hard Skills)
• Strategic Thinking (Soft Skills)
• Statistical Analysis and Modeling (Hard Skills)
• Stakeholder Management (Soft Skills)
• Project Management (Soft Skills)
• Technical Proficiency (Hard Skills)
• Leadership and Mentorship (Soft Skills)

Job Summary:

• Have 2-3 direct reports and help coaching and managing them. 
• Ensuring they are motivated and productive
• Manage and own end to end analysis of Safer Gambling features and journeys
• Demonstrate the value of their analytical outputs in terms of decision-making
• Managing stakeholders
• Transforming business questions into analytical plans
• Educating business users and leaders on how to measure performance
• Use random controlled experience and testing to deliver new cause and effect insights
• Actively and consistently support all efforts to simplify and enhance the customer experience
• Produce detailed analyses in response to business problems and requests, and automate the reports based on the reporting needs
• Recommend reporting and/or application solutions to meet the needs of business users
• Build and automate reporting and/or application solutions to provide increased efficiency and consistency
• Understand policies, procedures, and practices for analysis of business performance and impact

Skills on Resume:

• Leadership and Management (Soft Skills)
• Analytical Skills (Hard Skills)
• Stakeholder Management (Soft Skills)
• Communication and Education (Soft Skills)
• Experimental Design (Hard Skills)
• Data Analysis and Reporting (Hard Skills)
• Technical Skills (Hard Skills)
• Problem-solving and Innovation (Soft Skills)

Job Summary:

• Develop actionable insights and solutions for strategic business challenges using advanced modeling and analytics.
• Manage all aspects of advanced analytics, including data preparation, model development, experimental design, and result presentation.
• Implement analytical techniques to address business challenges effectively.
• Participates in determination of stakeholder needs and ensures business value is realized. 
• Determines data analysis goals given business objectives. 
• Determines data requirements and performance metrics to support analysis.
• Implements best practices and repeatable processes that ensure consistent, quality delivery of modeling and analytics work. 
• Encompasses responsibility for quality control including ensuring that appropriate documentation and peer review processes are in place.
• Partners with business customers as a thought leader to identify research and/or business opportunities that the analytics team can support.
• Prepares complex data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, feature engineering, and handling multivariate data.
• Modifies and analyzes data sets using complex analytics techniques such as machine learning, advanced statistical analysis, mathematical optimization and simulation. 
• Identifies modeling attributes and parameters. 

Skills on Resume:

• Modeling and Analytics (Hard Skills)
• Data Management (Hard Skills)
• Analytical Techniques (Hard Skills)
• Stakeholder Management (Soft Skills)
• Data Analysis Strategy (Hard Skills)
• Best Practices Implementation (Soft Skills)
• Quality Control (Soft Skills)
• Collaboration and Leadership (Soft Skills)

Job Summary:

• Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and business goals.
• Evaluates and validates correctness of models and analysis. 
• Assesses and confirms performance of models and analysis. 
• Validates that models and analyses meet business objectives.
• Works with field organizations to construct statistically valid tests of new initiatives. 
• Responsible for experimental design, measurement of results and the development of strategy insights and implications.
• Conducts extensive analysis around price elasticity, willingness to pay, competitive assessment, and price-volume trade off curves.
• Communicates analytical results to clients in a consultative manner, and always at a level that is consistent with the target audience
• Demonstrates attention to detail, organization, and deliverables, including driving projects to completion in accordance with established timelines.
• Builds and manages a best-in-class advanced analytics team.
• Build- enjoy applying data to build insights for sales/ account teams and clients
• Operate- aren't afraid and get to the lowest level of detail
• Worked with sales and account teams before and know what they need and how to help them achieve their goals

Skills on Resume:

• Algorithm Application (Hard Skills)
• Model Evaluation and Validation (Hard Skills)
• Experimental Design and Analysis (Hard Skills)
• Price Analysis Expertise (Hard Skills)
• Consultative Communication (Soft Skills)
• Attention to Detail and Timeliness (Soft Skills)
• Team Leadership and Management (Soft Skills)
• Sales and Account Team Collaboration (Soft Skills)
• In-Depth Data Analysis (Hard Skills

Job Summary:

• Establish and lead the analytics team in a high-growth startup environment.
• Develop data collection, storage, and analysis strategies to support business growth.
• Identify opportunities to leverage data for solving business problems and making informed decisions.
• Support the implementation of the Looker platform for self-serve data access and analysis.
• Collaborate across the organization to understand data needs and generate insights.
• Enhance existing data storage, processing, and analytics capabilities.
• Contribute to building a data-driven culture within the company.
• Drive the use of data and insights to support the company's rapid scaling efforts.
• Partner with Account Management/ Sales teams to better help their ability to sell ads and promotions.
• Create case studies, provide insights and be the expert on all things promotions
• Develop plans with top partners
• Work with partners including sales, marketing, and product

Skills on Resume:

• Leadership and Team Management (Soft Skills)
• Data Strategy Development (Hard Skills)
• Problem-Solving with Data (Hard Skills)
• Platform Implementation (Hard Skills)
• Cross-functional Collaboration (Soft Skills)
• Enhancement of Data Capabilities (Hard Skills)
• Promotions and Sales Enablement (Soft Skills)
• Strategic Partnership Development (Soft Skills)

Job Summary:

• Project management of engagements, leading client interaction and stakeholder management – will get to own certain client relationships, reporting to senior Analytics team leaders, and drive how solutions are delivered
• Managing and mentoring junior analytics colleagues
• Providing data analytics services through the use of software such as SQL, Tableau, Power BI, Alteryx, Python, SAS and VBA to deliver meaningful insights to clients, helping them to understand their business risks and key drivers
• Development and delivery of innovative analytics tools to support evolving regulatory requirements - eg FS regulations
• Contributing to the team’s thought leadership and strategy in analytics
• Building and developing long term relationships with stakeholders across client organisations.
• Delivering analytics projects within an assurance or audit context, or similar, eg operational risk analysis
• Develop analytical dashboards to help other teams get better insights into the root causes of their business problems
• Perform in-depth data analysis to work with strategy, product, UX team on user acquisition
• Surface data insights via visualisation and dashboards as well as written and verbal communication
• Work closely with designers, product and engineers to conduct A/B testing and iterate on better product improvements

Skills on Resume:

• Project Management  (Hard Skills)
• Leadership and Mentoring (Soft Skills)
• Data Analytics (Hard Skills)
• Regulatory Tool Development (Hard Skills)
• Analytics Strategy (Soft Skills)
• Relationship Building (Soft Skills)
• Audit Analytics (Hard Skills)
• Dashboard Development (Hard Skills)

Job Summary:

• Support understanding of content performance and develop growing reporting toolkit.
• Identify key areas of opportunity for the Disney+ content portfolio in the mid-term
• Leverage knowledge of the Disney+ content catalogue, and of the broader entertainment and streaming landscape, to develop innovative methodologies for content performance measurement and valuation
• Lead a team of two analysts, and indirectly lead a team of local analysts on specific projects, to ensure consistency and timely delivery across the region
• Develop relationships across the Analytics and business teams at regional and local level, in particular the Content and Programming teams, as well as with the global DMED Analytics team to align on key priorities and targets
• Present clear and articulate insights, data, implications and actions to stakeholders across a range of levels and backgrounds, following up by providing self-serve reporting or similar scalable solutions when relevant
• Support the broader Disney business including Integrated Marketing, Consumer Products, Studios, with relevant insights on content performance, commercial optimisation and audiences
• Work with data engineering to design and crate data tables for analytical purposes
• To succeed in this role, must have analytics experience related to apps or website.

Skills on Resume:

• Data Analysis and Reporting (Hard Skills)
• Strategic Thinking (Soft Skills)
• Industry Knowledge (Hard Skills)
• Leadership and Team Management (Soft Skills)
• Stakeholder Management (Soft Skills)
• Problem Solving and Innovation (Soft Skills)
• Business Acumen (Soft Skills)
• Technical Skills (Hard Skills)

Job Summary:

• Ensure that all solution designs maximize the business benefits to be gained by the client, and solve their specific problems. 
• Ensure that software and scoring solutions are effectively integrated across the business.
• Coach junior consultants and analysts on the project to maximize the effectiveness of their approach.
• To be responsible for the quality, consistency and accuracy of all deliverables
• To be responsible for all aspe
• Developing Fraud models to detect Fraud and help in making strategies to Prevent Fraud.
• Doing Data analytic to identify new and emerging fraud threats
• Involved in the Development of new fraud strategies using analytical techniques including
• Decision trees, random forests, and other quantitative methods.
• Suggestions for new sources of data for fraud detection.
• Coordination with Tech and Ops teams of FRA
• Reviewing new fraud rules and change existing ones

Skills on Resume:

• Solution Design (Hard Skills)
• Integration (Hard Skills)
• Coaching and Mentorship (Soft Skills)
• Quality Assurance (Hard Skills)
• Fraud Modeling (Hard Skills)
• Data Analytics (Hard Skills)
• Strategy Development (Hard Skills)
• Collaboration and Coordination (Soft Skills)

Job Summary:

• Report to an Associate Director Talent Acquisition and will partner closely with TA and HR leaders across the organization
• Be a subject matter expert reporting and analytics specific to TA and will interface directly with VP level leaders
• Conduct primary and secondary research and analysis of TA analytics and best practices to provide core insights to the TA leadership team
• Dive into hiring trends to identify opportunities, success profiles, and builds out core insights
• Use the trends and data to inform Best Practices, standardize work, and helps develop long-term strategies
• Build analytics that helps VP level leaders make data driven decisions and predictive modeling
• Partner with People Analytics to identify trends in attrition to build talent solutions
• Gather analytical needs of recruiting teams and transform the requirements into visualized solutions and recommendations
• Provide recommendations by analyzing recruiting processes and systems
• Operationalize data with visualization which provides “at a glance” visibility of the team’s KPIs
• Perform complex analysis of expenses and sourcing actions
• Develop capacity planning models and visualization of resource to plan
• Analyze operational performance data to calculate and measure potential risks in production

Skills on Resume:

• Data Analysis and Interpretation (Hard Skills)
• Analytics Tools Proficiency (Hard Skills)
• Research Skills (Hard Skills)
• Strategic Thinking (Soft Skills)
• Communication Skills (Soft Skills)
• Problem Solving and Critical Thinking (Hard Skills)
• Predictive Modeling (Hard Skills)
• Visualization Skills (Hard Skills)

Job Summary:

• Leverage a variety of data sources to derive actionable insights about website experience, advertising performance, sales enablement performance, down-funnel success, and Suzy platform user behavior
• Own the testing roadmap, developing and executing digital marketing tactics to improve (leads, MQLs, SQLs, etc.), key conversion rates, and cost-related metrics
• Drive Suzy’s search engine optimization, conversion rate optimization, and email marketing testing.
• Support the measurement and reporting strategy for all marketing activities, both online (inbound marketing sites, demand generation landing pages, webinars, mini sites) and offline (direct mail, conferences, etc.)
• Help manage, nurture and develop a growing team of exceptional analysts
• Become a subject matter expert in key product and operational functions and drive optimization through close stakeholder engagement, deep analysis and daily engagement
• Grow to be a key advisor to the Executive Leadership Team
• Establish best-in-class practices and technical standards for analytical processes and solution development, deployment and sustainment
• Help build a data-centric culture and be an internal champion for analytics and data literacy throughout the organization
• Research new methodologies, concepts and industry trends to guide the creation and adoption of new analytical approaches and technology

Skills on Resume:

• Data Analysis and Interpretation (Hard Skills)
• Digital Marketing Expertise (Hard Skills)
• Testing and Optimization (Hard Skills)
• Measurement and Reporting (Hard Skills)
• Team Leadership and Development (Soft Skills)
• Stakeholder Engagement and Collaboration (Soft Skills)
• Strategic Advisory (Soft Skills)
• Technical Standards Development (Hard Skills)

Job Summary:

• Be a cultural role model in implementing processes to improve data driven decision making across the company
• Be responsible for complex analytics within different areas, visualise conclusions and be part of implementation in product, marketing and tech
• Work closely with the product, marketing and sales teams to identify and prioritise analytics needs, in addition to helping them answer and solve complex problems/questions, prioritise efforts and reach goals
• Work with the management team and report directly to the Chief Product and Marketing Officer
• Develop and maintain BI tools (creating data models, reports, dashboards and self service functionalities)
• Have a significant role in the growth and future strategic direction of Esportal by adding an analytics perspective in all decisions
• Educate the company in the value of BI and analytics as a tool for making better decisions
• Essence is seeking an Analytics Manager to join growing EMEA Analytics team. 
• Be responsible for delivering category defining models and analytical services for clients.
• Be supported by a growing team of experienced analytics directors. 
• Participate in media planning to identify target audiences and craft campaigns that result in three times return on investment

Skills on Resume:

• Data Analysis and Interpretation (Hard Skills)
• Data Visualization (Hard Skills)
• Project Management (Hard Skills)
• Communication Skills (Soft Skills)
• Strategic Thinking (Soft Skills)
• Business Intelligence Tools (Hard Skills)
• Leadership and Mentorship (Soft Skills)
• Media Planning and ROI Optimization (Hard Skills)

Job Summary:

• Triage and respond to ad hoc data analytics requests from business stakeholders. 
• Organize and prioritize requests for ad hoc data analysis from Apixio clients and internal teams. 
• Manager will identify key questions, define required data sources, extract data, perform analysis, and present results. 
• Supervise other analysts
• Develop analytics backlog for engineering to expand available data points and metrics. 
• Gather requirements and serve as liaison with the Apixio Engineering, Product Management, and Sales teams to identify use cases and key metrics that will provide key insights to customers. 
• Prioritize use cases, develop requirements, and participate in sprint planning. 
• Backlog ideas may include integration of new data sources and tracking of new metrics.
• Develop strategy to Increase access to Apixio data for customer and product insights. 
• Work with the Apixio Engineering and DevOps team to improve access to Apixio data for the purpose of data analysis, business intelligence, and product development. 
• Requirements to build a non-production copy of a production data and adding business intelligence tools such as SQL and/or Tableau.
• Grow the Apixio team to perform business intelligence and analytics. 
• Assess resources needs and potentially hire and supervise Business Analysts to assist with the business analytics requests from sales, finance, product, and customers.

Skills on Resume:

• Data Analytics (Hard Skills)
• Analytical Skills (Hard Skills)
• Management Skills (Soft Skills)
• Strategic Thinking (Soft Skills)
• Stakeholder Management (Soft Skills)
• Project Management (Soft Skills)
• Data Access and Tools (Hard Skills)
• Team Development (Soft Skills)

Job Summary:

• Ability to go from a client’s business goals to a complete measurement plan that defines the metrics, systems, and methodologies needed to meet those objectives.
• Defining and launching data programs from start to finish: conception, proposal, scoping, and fulfilment. 
  
• Being willing to go the extra distance to ensure projects are a success means ensuring data capture is clean, analysis is thorough, and thinking is sound/relevant to the clients’ business to get a report out.
• Have knowledge and mastery in some of the relevant marketing analytics systems, such as web analytics (Google Analytics, Adobe Analytics, etc.), A/B testing, programmatic marketing, CRM, Social, etc. 
• Ability to guide and train new analysts, setup and configure these systems, and fully utilize these systems for insight and marketing success.
• Familiarity with core mathematical methods, and relevant applications to marketing analytics, including statistical techniques, knowledge of data science applications, AI/machine learning use cases. 
• Have a functional knowledge of when and how to apply these tools sets in a marketing science context, such as A/B and multivariate testing, personalization strategies, ad targeting, and customer clustering.
• Working knowledge of common tools and software (Google 360, Adobe Marketing Cloud, etc). 
• Visualization programs like Tableau, proficiency with Excel and knowing what it’s really good for, basic knowledge of SQL databases and how to use them, as well as general knowledge of how statistical software packages (SAS/SPSS, R, Python) can be used to improve or automate work.

Skills on Resume:

• Strategic Thinking (Soft Skills)
• Project Management (Hard Skills)
• Attention to Detail (Soft Skills)
• Marketing Analytics Proficiency (Hard Skills)
• Training and Guidance (Soft Skills)
• Statistical and Data Analysis Skills (Hard Skills)
• Application of Analytical Tools (Hard Skills)
• Software Proficiency (Hard Skills)

Job Summary:

• Have deep experience working in healthcare analytics.
• Risk adjustment
• Care management and Utilization management analytics
• Quality measures
• Pharmacy analytics
• Social determinants of health
• Design and implement data-driven insights to enable value-based contracts and commercial offerings.
• Forecast performance results and support client-specific areas of interest
• Measure performance of products across financial, patient satisfaction, and quality outcomes.
• Leverage advanced statistical analysis methods to create insightful recommendations and conclusions that effectively communicate to stakeholders.
• Communicate and Engage with Stakeholders.
• Develop and present reports, analyses and findings to senior management and others as scheduled or requested.
• Act as liaison/analyst for internal stakeholders, understand their needs and translate them into reporting and analytic solutions.

Skills on Resume:

• Healthcare Analytics (Hard Skills)
• Data-Driven Insights (Hard Skills)
• Performance Forecasting (Hard Skills)
• Advanced Statistical Analysis (Hard Skills)
• Effective Communication (Soft Skills)
• Stakeholder Engagement (Soft Skills)
• Report Development (Hard Skills)
• Risk Adjustment (Hard Skills)

Job Summary:

• Supervise, analyse, visualise and communicate key metrics to management
• Support the continuous improvement of reporting framework, suggest new perspectives and educate business partners
• Conduct insightful analysis using a multitude of data points (e.g. user, device, events, revenue, coordinates, ...)
• Manage a team and be the point of contact on fraud and safety matters when it comes to data.
• Collaborate closely with fellow analysts and senior partners to drive informed business decisions
• Work closely with different teams (Engineering, Product, Operations) to assess and improve current business processes. 
• Advocate for a data-driven culture across the organisation.
• Analyse Fraud and Cyber patterns, dig deep to find the data need to identify fraudsters, and measure the accuracy of detection and prevention. 
• Challenge analyses of peers and reports. 
• Suggest implementations of new features for fraud detection and prevention to the product team, while deploying new workflows (python), when applicable, to impact the business directly.
• Think about automation and design workflows that contribute to increased accuracy in fraud prevention while reducing the volume of manual reviews
• Layout the foundations of the data cockpit on which machine learning efforts will take place.

Skills on Resume:

• Data Analysis Skills (Hard Skills)
• Supervisory Skills (Soft Skills)
• Communication Skills (Soft Skills)
• Continuous Improvement (Hard Skills)
• Collaboration and Teamwork (Soft Skills)
• Fraud and Cyber Analysis (Hard Skills)
• Technical Skills (Hard Skills)
• Machine Learning Foundations (Hard Skills)

Job Summary:

• Collaborate with developers, project managers, business analysts, and business users in developing new Analytics solutions including BW models and SAP Analytics Cloud visualizations.
• Define the approach, project scope, schedule, requirements, and deliverables for Data Science efforts.
• Contribute to overall architecture and design.
• Interpreting data, analysing results using statistical techniques.
• Locate and define new process improvement opportunities.
• Leading a team of senior data scientists in the development of analytical tools and methods, and
• Influencing and promoting the work of SWA with other government agencies and NGOs in order to have a greater impact across the social sector and create positive change.
• Oversee the extraction, cleaning and integration of data from disparate sources – including media data, site-side analytics, and other components of work.
• Create and maintain ongoing client deliverables, including periodic reporting decks and interactive dashboards.
• Support internal teams by identifying the “what” and explaining the “why” found in data trends, while building actionable insights from the work.
• Mentor one or more junior team members.
• Collaborate across functional teams (e.g. Media, Creative, Tech) to identify opportunities for both client optimization and internal improvement.
• Participate in the creation of client-facing measurement strategies, from KPI selection through data capture requirements.
• Advise on technical implementations for key tracking and tagging requirements.
• Develop a fluency in marketing frameworks, data concepts, and key media principles to improve both clients’ work, and the performance of team.

Skills on Resume:

• Collaboration and Teamwork (Soft Skills)
• Project Management (Hard Skills)
• Data Science and Analytics (Hard Skills)
• Leadership and Mentoring (Soft Skills)
• Technical Expertise (Hard Skills)
• Strategic Thinking (Soft Skills)
• Process Improvement (Soft Skills)
• Communication and Client Interaction (Soft Skills)

Job Summary:

• Hire, manage, coach and lead a high performing global team of Business Analysts.
• Engage with Lifecycle Services leadership and diversified customer groups to understand the needs and recommend business intelligence solutions that address key business questions.
• Design, implement and support analytics solutions (forecasting, prediction, etc.) that enable Lifecycle Services leadership to manage the business. 
• Build reporting and other technical data-driven solutions that support automation and streamlining of existing processes.
• Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (e.g., data visualization tools for non-tech business users).
• Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.
• Partner with Data engineering team to define the data elements and data structure that the team should leverage to enable analytical capabilities.
• Participate in strategic and tactical planning discussions.
• Interface with business customers, gathering requirements and delivering complete reporting solutions.
• Perform business analysis to identify problems and opportunities with current operations as well as recommendations for future state solution.
• Perform data-mining and analysis using tools including PeopleSoft, MS Excel and Amazon Redshift to identify trends and recommend opportunities for improvements.
• Support the development of frustration-free Lifecycle Services processes by questioning and challenging current state with data, driving to the desired end state, and ensuring the voice of the customer is reflected in everything
• Be connected and influential within the Amazon analyst community. 
• Work with Data engineering, Software development teams to enable the appropriate capture and storage of key data points.

Skills on Resume:

• Team Leadership and Management (Soft Skills)
• Business Intelligence Solutions (Hard Skills)
• Data Visualization and Reporting (Hard Skills)
• Analytical Skills (Hard Skills)
• Strategic Planning (Soft Skills)
• Data Management and Collaboration (Hard Skills)
• Customer Focus (Soft Skills)
• Industry Networking (Soft Skills

Job Summary:

• Aon are currently recruiting a Analytics Manager to join team
• Bringing together industry-leading broking and data science expertise.
• Collaborating with global Data and Analytics teams to maximise the value of key capabilties within the GBC.
• Partnering with broking teams and contribute to the production of strategic insights/MI to enhance the GBC's client value proposition, improve business operations and drive revenue across 11 specialties, Portfolio Solutions and Claims.
• Delivering required analytics to support the GBC's Central Management functions.
• Manage and track the status of requirements throughout the project lifecycle, enforce and redefine as necessary.
• Review, prioritize and track progress of issues that affect the project deliverables.
• Guide project team members and monitor progress for assigned projects to assure deadline, standards, and cost target are met.
• Ensure compatibility and consistency with enterprise standards including integration of related projects and adjustments to project scope.

Skills on Resume:

• Data Science and Analytics Expertise (Hard Skills)
• Collaboration and Teamwork (Soft Skills)
• Project Management (Hard Skills)
• Strategic Thinking (Soft Skills)
• Problem Solving (Hard Skills)
• Leadership and Guidance (Soft Skills)
• Communication Skills (Soft Skills)
• Adaptability and Enterprise Standards (Soft Skills)

Job Summary:

• Have demonstrated experience synthesising information from large, unstructured data sets to tell impactful stories and make actionable client recommendations
• Have demonstrated experience in communications/marketing
• Have a moderate understanding of the healthcare/pharmaceutical space
• Innovative and want to bring value and new ideas to everything do
• Thrive in an environment that requires constant learning and adaptation
• Solutions-oriented and love to problem-solve to meet the client’s needs
• Work well independently, but also enjoy collaborative work assignments
• Get the importance of staying on top of the details and believe in exceeding expectations
• Proficient in Excel, Word and PowerPoint

Skills on Resume:

• Data Synthesis and Analysis (Hard Skills)
• Communication and Marketing (Hard Skills)
• Industry Knowledge (Hard Skills)
• Innovation (Soft Skills)
• Adaptability and Continuous Learning (Soft Skills)
• Problem-Solving (Soft Skills)
• Independence and Collaboration (Soft Skills)
• Technical Proficiency (Hard Skills)

Job Summary:

• Create and maintain Management reports including end-of-month, quarterly, and annual reports used by various departments.
• Perform daily data gathering, analysis, and reporting utilizing various data sources.
• Prepare all kind of reports (i.e.: assets, liabilities and performance reports).
• Develop all reports to support the management identifying the critical business issues and solutions.
• Carry out all performance reports related to Retail Banking Advisors, Branch Sales and Service Supervisors and Branch Sales and Service Managers.
• Perform all products performance and profitability analysis reports.
• Help and assist in all Consumer Banking projects, Assets and Liabilities products, Procedures, Process flow ... etc.
• Handle data collection, analysis, interpretation and presentation to management and other team members.
• Analyse data with standard statistical methods, interpreting the results, and providing written summary of data analyses.
• Maintain process for Management to request reports and support.
• Work with core banking system team and Information Technology to automate and schedule report generation.
• Handle all branches requests related to insurance company (medical check-up and death claims).
• Carry out monthly premium for insurance company.

Skills on Resume:

• Data Analysis and Reporting (Hard Skills)
• Financial Reporting (Hard Skills)
• Business Problem Solving (Hard Skills)
• Performance Reporting (Hard Skills)
• Product Performance Analysis (Hard Skills)
• Project Support (Hard Skills)
• Statistical Analysis (Hard Skills)
• Communication and Collaboration (Soft Skills)

Job Summary:

• Act as a critical thought partner and collaborate closely with Product, Research, Engineering, Growth, and Operations to provide visibility and recommend solutions to drive meaningful impact to patients and providers.
• Support product roadmap by identifying opportunities and quantifying impact of product launches through A/B experimentation and measurement.
• Ensure data accuracy and reporting consistency by identifying and implementing data analysis best practices.
• Roll up sleeves - develop metrics, develop a point of view, and establish OKRs with functional leaders across the organization
• Successfully recruit analysts on own and with a recruiting team.
• Use product intuition grounded in data and analytics to contribute to product decisions, and work with product engineers, product managers, and designers to effectively deliver them.
• Understand industry best practices and tradeoffs and when to apply them.
• Serve as a strong people manager, develop the next generation of leaders, and serve as a coach and mentor to the analysts.
• Contribute to defining team and company data culture through peer collaboration, coaching, and input into the team processes adopt as grow the Analytics team together.
• Align reporting/analytics efforts of individual teams with greater vision and goals of specific Hub/Spoke core teams
• Leadership competencies with an ability to collaborate and establish working relationships, effective communication across the organization and at different levels, strategic thinking and actions to influence key stakeholders and business decisions

Skills on Resume:

• Collaboration (Soft Skills)
• Data Analysis (Hard Skills)
• Metrics Development (Hard Skills)
• Recruitment (Soft Skills)
• Product Intuition (Soft Skills)
• Industry Knowledge (Hard Skills)
• Leadership (Soft Skills)
• Strategic Thinking (Soft Skills)

Job Summary:

• Be the technical leader for the planning, analysis, design, data modelling, programming, testing, and deployment of financial analytics, reporting and dashboard solutions for financial officers and other administrative support personnel.
• Provide subject matter expertise regarding financial analytics, reporting and dashboard design and/or selection and implementation coordination and addressing multiple system and data integration issues.
• Collaborate with business and technical owners to design, build and deploy data pipelines to/from various data sources, including the enterprise data warehouse.
• Lead a team of Financial Analytics Specialists to support and maintain analytics platforms.
• Contribute to Big Data and analytical discussions, lead business and IT stakeholders through designing a robust, secure and optimized architectures and ability to be hands-on delivering the target solution.
• Participate in the definition of technical standards and guidelines that pertain to data and information-use, security, access and governance.
• Ensure existing data/information assets are identified, stewarded, governed and leveraged across the enterprise.
• Influence related processes among user groups to ensure efficiency.
• Work with multi-functional teams to design and implement business requirements.
• Develop detailed system and application specifications, including data conversion, interfaces, and custom reporting to ensure business requirements are met.

Skills on Resume:

• Financial Analytics (Hard Skills)
• Subject Matter Expertise (Hard Skills)
• Data Pipeline Development (Hard Skills)
• Team Leadership (Soft Skills)
• Big Data & Analytics (Hard Skills)
• Technical Standards (Hard Skills)
• Data Asset Management (Hard Skills)
• Collaboration (Soft Skills)

Job Summary:

• Data preparation, statistics, and machine learning to investigate problems with the goal of improving marketing impact on opportunities and drive revenue.
• Using creative thinking skills to think big and with emphasis on developing innovative solutions to solve complex problems, mainly on social and events data
• Manipulating data using various analytical programming languages and frameworks: HD Insights/DataBricks/Hadoop, SCOPE/U-SQL, R, Python.
• Using and promoting data-exploration techniques to discover new or previously unasked questions.
• Influencing stakeholders to make product improvements that yield business value by effectively making compelling cases through story-telling, visualizations, and other influencing tools.
• Reviewing observations and recommendations with executive teams to challenge assumed hypotheses and improve processes.
• Leverage a variety of data sources to derive actionable insights about website experience, advertising performance, sales enablement performance, down-funnel success, and Suzy platform user behavior
• Own the testing roadmap, developing and executing digital marketing tactics to improve (leads, MQLs, SQLs, etc.), key conversion rates, and cost-related metrics
• Search engine optimization, conversion rate optimization, and email marketing testing.
• Support the measurement and reporting strategy for all marketing activities, both online (inbound marketing sites, demand generation landing pages, webinars, mini sites) and offline (direct mail, conferences, etc.).

Skills on Resume:

• Data Analysis (Hard Skills)
• Creative Problem Solving (Soft Skills)
• Programming Proficiency (Hard Skills)
• Data Exploration (Hard Skills)
• Stakeholder Influence (Soft Skills)
• Executive Communication (Soft Skills)
• Data Integration (Hard Skills)
• Digital Marketing (Hard Skills)
• Measurement and Reporting (Hard Skills)

Job Summary:

• Manage a custom reporting offering for largest clients, which involves: working with Sales and Customer Success teams to scope the client’s needs, creating ETL pipelines, building the dashboard, maintaining the reporting, and maintaining the underlying infrastructure for the custom reporting platform
• Operate in a proactive and flexible manner, with the ability to lead multiple projects at once and pivot quickly when priorities change
• Work across all departments of the company, building relationships and becoming an expert on all aspects of Podium’s data
• A direct report and be expected to keep growing the team as demand dictates, as well as manage and build reporting for customers
• Customer-facing aspects, with an expected 10% of time being dedicated to directly communicating with customers.
• Use knowledge of statistics to lead the development of robust forecasting models. 
• Work with analytics  and client leadership to deliver the findings of models to clients.
• Collaborate with the practice and the wider agency to develop new tools and solutions to support: budget setting, scenario planning, media optimization
• Get under the skin of marketing problems, and generate genuine insights that will resonate with senior clients
• Bring new and interesting analytical techniques to the team, and be willing to educate others in their practical use
• Define execution plans and drive delivery of projects  and initiatives with guidance from director(s).

Skills on Resume:

• Custom Reporting Management (Hard Skills)
• Project Management (Soft Skills)
• Cross-Functional Collaboration (Soft Skills)
• Team Leadership (Soft Skills)
• Customer-Facing Communication (Soft Skills)
• Statistical Knowledge (Hard Skills)
• Data Presentation (Hard Skills)
• Innovative Thinking (Soft Skills)

Job Summary:

• Perform analytics with significant business impact, drive prioritization, resource allocation and product strategy
• Establish product goals and success metrics, develop analytics to understand and drive KPIs
• Conduct product experiments to understand growth and risk impacts and inform product decisions
• Be the influencer in team members and subject matter expert of the business support
• Manage and develop a team of analysts through coaching and mentoring.
• Working on a portfolio of assigned clients across a mix of small and large clients, with a wide range of stakeholders and relationships across key functions within clients business.
• Deliver meaningful insights and client presentations through analysis of retail
• Working with internal teams to support on account needs including analytical consulting, client response, sales, operations and business support.
• Meeting revenue targets and supporting client retention within account portfolio and utilisation of Salesforce for internal collaboration across teams.
• Development of "expertise" on topics of strength and continued building of knowledge in relation to client business issues,
• Development of thought leadership and key projects initiatives.

Skills on Resume:

• Analytical Skills (Hard Skills)
• Strategic Thinking (Hard Skills)
• Influence and Leadership (Soft Skills)
• Client Management (Soft Skills)
• Cross-Functional Collaboration (Soft Skills)
• Salesforce Proficiency (Hard Skills)
• Continuous Learning (Soft Skills)
• Thought Leadership (Soft Skills)

Job Summary:

• Inspire and deliver a consumer-centric insights machine, aka data foundation to support analysis and recommendations that guide digital planning, brand strategy, budgeting decisions while enabling a rapid test>learn>scale approach
• Work with the VP Digital and IT to select and champion the right set of technological and architectural choices that lead to data integration, activation/execution, sufficiency, and enrichment
• Key business user of Google Analytics, Power BI and other reporting tools in support of analytics requests or routine reports
• Be the team member who explains how data can be applied to drive more frequent daily/weekly/monthly actions by digital teams for better results – teach, mentor, enable
• Work across silos to prioritize the biggest impacts with the least effort or investment
• Be a thought leader by staying externally connected with technology partners and best practices
• Support analytics and reporting for key digital channels, such as Amazon, Walmart, Implus’ websites and other online revenue channels
• Deliver insights and business transformation opportunities for digital marketing and ecommerce operations
• Directly support the VP Digital, working together on digital business analysis and conducting presentations along with speaking to data driven reports.

Skills on Resume:

• Consumer-Centric Insights (Soft Skills)
• Data Integration and Architecture (Hard Skills)
• Analytics Tools Proficiency (Hard Skills)
• Data-driven Decision Making (Soft Skills)
• Cross-functional Collaboration (Soft Skills)
• Thought Leadership (Soft Skills)
• Channel-specific Analytics (Hard Skills)
• Insights Delivery and Presentation (Soft Skills)

Job Summary:

• Participate in media planning to identify target audiences and craft campaigns that result in three times return on investment
• Design, conduct and document multiple points of information from Drive’s custom reporting platform
• Analyze and report information from digital advertising campaigns.
• 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
• Creating accurate and actionable reports based on analysis of digital advertising campaigns
• Prepare ad schedules, optimize digital strategies and adjust budget when needed.
• Collaborate with cross-functional teams including but not limited to Engineering, Products,
• Inculcate a culture of data-driven analytics to solve complex business problems across the organization
• Establish scalable, efficient, automated processes for large scale data analyses.
• Operations, Sales, Marketing, Security, Customer Service, etc to breakdown complex business problems and recommend data solutions.
• Identify, develop and deliver analytical projects that will create significant business impact
• Design, conduct and document multiple points of information from Drive’s custom reporting platform
• Analyze and report information from digital advertising campaigns.

Skills on Resume:

• Media Planning (Hard Skills)
• Data Analysis (Hard Skills)
• Strategic Recommendations (Hard Skills)
• Project Management (Hard Skills)
• Collaboration (Soft Skills)
• Reporting (Hard Skills)
• Cultural Influence (Soft Skills)
• Process Automation (Hard Skills)

Job Summary:

• Present findings to business leaders. 
• Process end to end, that is, from ideation to implementation.
• Be the lead in developing and maturing metric for Natera’s expanding Oncology business unit
• Work to formalize, automate, and expand sales reporting. 
• Includes (but is not limited to): weekly/monthly/quarterly reports, pipeline reviews, territory reviews, and forecasting.
• Produce presentations for internal executive meetings on a monthly basis
• Participate in planning of incentive compensation
• Works with PHI on a regular basis both in paper and electronic form 
• Access to various technologies to access PHI (paper and electronic) in order to perform the job.
• Employees must complete training relating to HIPAA/PHI privacy, 
• General Policies and Procedure Compliance training 
• Security training as soon as possible but not later than the first 30 days of hire.
• Must maintain a current status on Natera training requirements.
• Employees must pass a post-offer criminal background check.

Skills on Resume:

• Communication Skills (Soft Skills)
• Project Management (Hard Skills)
• Data Analysis and Reporting (Hard Skills)
• Presentation Skills (Soft Skills)
• Financial Planning and Analysis (Hard Skills)
• HIPAA/PHI Compliance (Hard Skills)
• Adaptability and Learning (Soft Skills)
• Background Check and Compliance (Hard Skills)

Job Summary:

• Database Management – responsible for database queries, building controls, managing integrations, developing reports 
• Administration of sales data integrations with current data-mart (SQL Server).
• Engage with Marketing and Sales to understand each strategic initiative and corresponding data needs including CRM generated insights.
• Establish targeting methodologies, manage sales team alignment
• Bring structure to each request and translate those requirements into an analytic approach.
• Manage, Report and administer the Sales Incentive Compensation Program by updating territory metrics on a frequent basis and updating the data into representative facing applications.
• Develop reports and manage data for Incentive Compensation and Marketing Campaigns
• Develop and Prepare monthly reports complete with trending, KPI metrics and opportunity analysis for review by Senior Leadership Team.
• Build dashboards with Business Intelligence tools to visualize key performance indicators for specific customers, products and/or promotions.
• Involve pulling data into an actionable/user friendly format to provide metrics and KPIs that provide value to Commercial Leadership.
• Establish data integrity controls to ensure accuracy in support of data driven decision making by Sr. Management
• Become an expert in CRM system in order to summarize and share customer-level roll up of sales and marketing opportunities
• Work directly with internal and external stakeholders in order to inform effectiveness of strategies and uncover potential strategic/tactical opportunities.
• Work with various data sets including retail, non-retail, wholesaler, direct distribution data and APLD Claims Data (Diagnosis  and Procedure)
• Knowledge of ICD 10 Codes and relationship to claims data.

Skills on Resume:

• Database Management (Hard Skills)
• Sales Data Integration (Hard Skills)
• Analytics and Targeting (Hard Skills)
• Sales Incentive Compensation (Hard Skills)
• Report Development (Hard Skills)
• BI and Dashboard Creation (Hard Skills)
• Data Integrity Controls (Hard Skills)
• Stakeholder Communication (Soft Skills)

Job Summary:

• Works collaboratively across internal and external stakeholders to gather information, data, and appropriate consultation for the development of client marketing performance reports
• Comfortable presenting to internal and external clients
• Strong proficiency in pulling, validating and cleansing complex datasets for analysis
• Weaves together strategic elements of the client’s business into reports, providing a clear story that explains key findings and actionable recommendations
• Expert knowledge and reporting skills of media and web tracking solutions (Google Analytics, Adobe Analytics, Google Ads)
• Experience incorporating patient treatment data into overall program success metrics
• Maintains expertise on digital benchmarks by tracking trends across the industry
• Collaborates with Operations team to ensure continuity of data
• Supports internal team’s research and performance assessment needs
• Marketing performance analysis, preferably in an agency environment
• Intrinsic aptitude in mathematics, basic statistics, analysis, and research
• Identify, develop and deliver key analytics projects that will make a significant impact to the company and eCommerce in India.
• Work closely with business leaders, product managers, subject matter experts to design and define performance metrics and goals
• Work with different lines of business to problem solve, measure and track suitable metrics for efficiency and effectiveness
• Drive actionable insights to final business impact through best-in-class analytical and modeling techniques. 
• Evangelize innovation, new solutions, and drive new ideas and events to find global solutions.
• Influence investment opportunities for business based on internal/external data

Skills on Resume:

• Collaboration Skills (Soft Skills)
• Presentation Skills (Soft Skills)
• Data Management Skills (Hard Skills)
• Strategic Thinking (Soft Skills)
• Media and Web Analytics (Hard Skills)
• Data Integration (Hard Skills)
• Industry Awareness (Soft Skills)
• Analytical and Research Skills (Hard Skills)
•