Job Summary:

• Lead the data transfer and validation process, collaborating closely with client data teams.
• Perform the initial data characterization on clinical, claims
• Programmatic data sets to characterize the scope and size of populations to be analyzed.
• Identify the essence of healthcare encounters from client-provided data
• Identifying atomic encounters, place of service, diagnoses, procedures, and costs.
• Create appealing and compelling executive-level briefings.
• Design and build client-ready dashboards and reports tailored to address most pressing business needs and strategic priorities.
• Mentor Analysts in developing technical skills and domain expertise.
• Integrate data from multiple sources to produce required data elements.
• Creates and maintains specifications for reports and analyses based on business needs and required or available data elements.
• Partners with business lines to ensure analytics solutions continuously improve and remain viable and sustainable. 

Skills on Resume: 

• Data Management (Hard Skills)
• Analytical Skills (Hard Skills)
• Data Tools (Hard Skills)
• Data Visualization  (Hard Skills)
• Presentation Skills (Soft Skills)
• Leadership (Soft Skills)
• Strategic Thinking (Soft Skills)
• Business Acumen (Soft Skills)

Job Summary:

• Drive the WSA Retail’ analytics strategy & shape analytics landscape (tools, methods, reporting, insights, data)
• Define Data Roadmap and KPI Framework on operations, marketing and costs
• Execute and advocate on the principle of data democracy and full commitment to data-driven decision making
• Empower all WSA users to access, analyse and act on data
• Actively support business by generating actionable insights out of data
• Perform advanced analytics and deep dives
• Consolidate and automate existing reports towards best practice
• Develop dashboards, reports, and ad hoc analyses that provide insights into the consumer journey and trends.
• Work closely with the Retail Strategy & Marketing team as well as Global Retail Operations Leader
• Help optimize the consumer journey from branding, lead generation to in-store conversion
• Present thoughtful, cohesive evidence to support initiatives and measure success
• Act as lead for several key commercial optimization projects

Skills on Resume: 

• Strategic Analytics Leadership (Soft Skills)
• Data Management (Hard Skills)
• Advocacy for Data Democracy (Soft Skills)
• Data Analysis (Hard Skills)
• Reporting and Automation (Hard Skills)
• Report Development (Hard Skills)
• Cross-functional Collaboration (Soft Skills)
• Project Leadership (Soft Skills)

Job Summary:

• Develop strategic KPIs with the objective of controlling and enhancing the business procedures and customer experience
• Conduct commercial (Sales and Sales related KPIs)
• Work with the website team to design, and manage analytics projects and solution
• Generating useful business insights, correlation of brands and customer spending behavior 
• Develop and built segmentation for effective filtering of targeted customer list for enabling data-driven marketing. 
• Perform evaluation of segmentation used in different market sites. 
• Work closely with various business units for user requirement collection and projects implementation 
• Support and align efforts to drive business process analysis meeting to support Business Unit
• Manage business expectations by developing a communication process 
• Keep others up-to-date on project result as well as performance tracking a daily, weekly, and monthly basis 
• Work on regular business performance report for useful business insight

Skills on Resume: 

• Strategic Planning (Hard Skills)
• Analytical Skills (Hard Skills)
• Project Management  (Hard Skills)
• Insight Generation (Hard Skills)
• Customer Segmentation (Hard Skills)
• Cross-functional Collaboration (Soft Skills)
• Business Process Analysis (Soft Skills)
• Communication and Reporting (Soft Skills)

Job Summary:

• Help Company realize the true potential of Big Data in positively influencing business decisions.
• Prepare comprehensive reports (table, chart, graph format) because visual representation
• Doing competitive market analysis tasks to identify key industry trends.
• Gather data, clean it, organize it and analyze it to extract valuable insights and information.
• SQL queries to extract data from the data warehouse.
• Develop relational databases for collecting data.
• Monitor the performance of data mining and resolve fix issues.
• Apply statistical analysis methods for consumer data research and analysis.
• Knowledge of the business world and the ability to use data results to steer a business in the best direction.
• Responsible for understanding those insights and identifying.

Skills on Resume: 

• Data Analysis (Hard Skills)
• SQL Proficiency (Hard Skills)
• Database Management (Hard Skills)
• Data Visualization (Hard Skills)
• Market Analysis (Hard Skills)
• Problem-solving (Soft Skills)
• Statistical Analysis (Hard Skills)
• Business Acumen (Soft Skills)

Job Summary:

• Partner with Sourcing & Procurement management to deliver reporting of financial, savings, and operational performance metrics
• Support revenue-generating programs and ensure reporting is generated timely and accurately
• Build visualizations that tell a compelling story and turn data into actionable insights
• Understand the current state BI landscape and bring innovation and fresh thinking while addressing the current and future needs of the business
• Manage and maintain data and analytics pipeline from data source creation to reporting and dashboard development
• Participate in the development and distribution of best practices, process documentation, and user support materials for reporting
• Ensure the continuous maintenance of the spend database, review the accuracy of the dataset and coordinate corrective actions.
• Produce daily, weekly and monthly reports using Excel, SQL, and various ETL tools, 
• Using Tableau and Salesforce but in the future this could expand and change.
• Assist the business in sourcing new tools that will aid in growth
• Prepare and develop reports, presentations and other documents for communicating findings to business owners and management.
• Managing projects and working closely with the wider internal technology team as well as other departments

Skills on Resume: 

• Data Analysis and Visualization (Hard Skills)
• Financial Reporting (Hard Skills)
• Business Intelligence Knowledge (Hard Skills)
• Data Pipeline Management (Hard Skills)
• Technical Skills (Hard Skills)
• Project Management (Soft Skills)
• Communication and Presentation (Soft Skills)
• Tool Exploration and Adoption (Soft Skills)

Job Summary:

• Lead analyzing complex revenue streams and drawing conclusions regarding key drivers. 
• Align solutions with other departments' data needs and emerging new technologies.
• Support other pillars of reimbursement by providing data extracts, data analysis, process design, and logical model development.
• Serve as a lead liaison between the Reimbursement Department and Payor Contracting, IT, Security, Compliance
• Lead the design, development, testing, and deployment of tools for end users that allow end users who do not understand "big data" structures to use and analyze large amounts of complex data in quick and meaningful sessions.
• Communicate operational results to levels of leadership ranging from local leadership to senior
• Executive system leadership and recommend changes to operations system initiatives that can improve and monitor organizational performance.
• Approve recommended processes within finance to identify inefficiencies that transition tasks into data-driven approaches.
• Lead evaluations and preparation of various reimbursement optimization strategies and make recommendations that positively impact existing reimbursement schemes.
• Lead special projects and provide analytical support for Reimbursement, Finance and Revenue Cycle leadership.

Skills on Resume: 

• Data Analysis and Interpretation (Hard Skills)
• Cross-functional Collaboration (Soft Skills)
• Project Management (Hard Skills)
• Stakeholder Management (Soft Skills)
• Communication (Hard Skills)
• Strategic Thinking (Soft Skills)
• Decision-making (Soft Skills)
• Analytical Leadership (Soft Skills)

Job Summary:

• Extract and transform data from a bespoke ERP system.
• Gather transactional data and feed into SQL servers for analytics.
• Combine analytics from other business applications such as Salesforce, MS Dynamics etc
• Report production using SSAS, SSRS, MS Excel & Power BI.
• Creating Data Visualisations and Dashboards.
• Manage SQL / SQL Server.
• Provide database and analytical support for multiple initiatives, projects, and programs.
• Design, implement and deliver reports and analyses to support customer-focused, data-driven analysis.
• Perform data analyses using appropriate statistical methods and graphical display standards.
• Retrieve and analyze data and present reports for use in supporting operations and business objectives.
• Analyze, summarize and present information and data for discussion and decision-making.
• Act as full back-up for the senior Datawarehouse & Business Intelligence Specialist and work as a tandem to realize above mentioned tasks.

Skills on Resume: 

• Data Extraction and Transformation (Hard Skills)
• SQL Proficiency (Hard Skills)
• Integration of Business Applications (Hard Skills)
• Reporting Tools Mastery (Hard Skills)
• Data Visualization (Hard Skills)
• Analytical Skills (Hard Skills)
• Project Management (Soft Skills)
• Collaboration and Backup (Soft Skills)

Job Summary:

• Analyze all existing reports and generate a report specification document that explains in detail the sources used and how each field is calculated.
• Analyzed, re-defined and implemented improvements in existing reports in Tableau adding highlighter and alerts feature.
• Implement new dashboards in Tableau, performing the following tasks for each one.
• Collect the information requirements of the business areas.
• Analyze the needs of data sources, request and monitor development.
• Development and testing of the report in BI tool.
• Generate reports documentation, detailing data sources and explain how each field is calculated.
• Training to the business areas involved.
• Collaborate in the analysis of adhoc data requested by the team.
• Analyze key metrics history and trends to find insights to improve operational work and resolve issues in advance.

Skills on Resume: 

• Data Analysis (Hard Skills)
• Documentation (Hard Skills)
• Tableau Expertise (Hard Skills)
• Requirement Gathering (Hard Skills)
• Project Management (Hard Skills)
• Testing and Quality Assurance (Hard Skills)
• Training (Soft Skills)
• Collaboration (Soft Skills)

Job Summary:

• Senior BI Data Analyst will setup and manage Business Intelligence capabilities with special focus in Tableau
• Automate BI tools to produce regular reports for internal and external (B2B customers) consumption with appropriate visualizations
• Evaluate and collaborate in the design of the processes for data collection, and preprocessing
• Senior BI Data Analyst will work with product and marketing teams to craft, test and verify multiple reports and analytics from multiple data sources to drive meaningful insights and optimize audience growth
• Define, configure and deploy connectivity to multiple data sources
• Data Analysis and Reporting
• Effectively gather research questions, execute the work and effectively deliver reports, answers and insights that can be understood by the decision-makers
• Senior BI Data Analyst will craft and execute queries upon request for data and produce the reports and analysis necessary for managing B2B partners 
• Set up data analysis capabilities to identify trends and make predictions for forecasting and projecting business outcomes based upon current and historical data
• Perform ad-hoc analyses to deliver insights to the executive team and senior management
• Develop and deploy business dashboards and other visualisation techniques to communicate data.

Skills on Resume: 

• Tableau Proficiency (Hard Skills)
• Data Automation (Hard Skills)
• Preprocessing (Hard Skills)
• Data Integration (Hard Skills)
• Insights Generation (Hard Skills)
• Communication Skills (Soft Skills)
• Ad-hoc Analysis (Hard Skills)
• Predictive Analytics (Hard Skills)

Job Summary:

Collaborate with other functions across the company to build reports and dashboards with useful analysis and data insights

• Provide accurate, timely, and complete data inputs into Monthly and Quarterly reporting processes for Board
• Clean, model, and manipulate large quantities of raw, disorganized data
• Service ad-hoc analytics requests from customers and value-driven reporting requests from Sales reps for customer accounts
• Demonstrate capacity to clearly and concisely communicate complex business logic, technical requirements, and design recommendations through iterative solutions
• Explain trends across data sources, potential opportunities for growth or improvement, and data caveats for descriptive, diagnostic, predictive (including forecasting), and prescriptive data analysis
• Understand and document the full lifecycle of data and common data framework so that all data can be integrated, modeled for easy analysis, and analyzed for data insights
• Contribute to and implement data warehouse and data modeling best practices, keeping reliability, performance, scalability, security, automation, and version control in mind
• Operate in an agile environment such as actively participating and communicating progress in sprint cycles and being accountable for delivering quality and valuable output.
• Support business decisions by collaborating with stakeholders to assess, analyze, and scope analytics needs. 
• Produces actionable dashboards and reports that show key performance indicators, identify areas of improvement, and/or forecast operational impacts. 

Skills on Resume: 

• Visualization (Hard Skills)
• Data Management (Hard Skills)
• Communication Skills (Soft Skills)
• Understanding of Data Lifecycle (Hard Skills)
• Modeling Best Practices (Hard Skills)
• Agile Methodologies (Soft Skills)
• Stakeholder Collaboration (Soft Skills)
• Problem-Solving (Soft Skills)

Job Summary:

• Designing, developing & managing Business Intelligence solutions in short time periods for external clients including Multi-national businesses
• Designing, and developing Analytic Insight solutions for Commercial and Global Marketing Teams
• Critically evaluates data gathered from multiple sources, reconciles issues to meet business needs by working closely with data engineer/architect (IT) to deliver business solutions
• Collaborates with Commercial Teams, Global Marketing Teams and Data Engineering teams to identify development needs, operational improvement and increased efficiencies. 
• Uses current information to recommend improvements where applicable
• Partners with Global business departmental teams / Product Development Team Lead to define and document business requirements for new metrics & reports
• Running ad-hoc queries from multiple sources, working closely with other groups in acquiring and providing data/troubleshooting for reports and databases
• Translation of non-technical requirements into technical business requirements. 
• User-stories (Jira), business analysis, survey design/implementation
• Writing product requirements in line with portfolio strategy and Agile guidelines
• Collects, aggregates, models, interprets, and analyzes data from multiple sources to drive insights. 
• Communicates findings and insights to all levels of stakeholders and provides business strategy recommendations for optimizing business performance. 

Skills on Resume: 

• Business Intelligence Solutions Development (Hard Skills)
• Analytic Insight Solutions Development (Hard Skills)
• Reconciliation (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Continuous Improvement (Soft Skills)
• Documentation (Hard Skills)
• Data Acquisition and Analysis (Hard Skills)
• Translating Requirements (Hard Skills)
• Effective Communication (Soft Skills)

Job Summary:

• Translate Executive and strategic priorities into data requirements.
• Prepare Financial data for operational and analytical use.
• Pull, cleanse, structure and integrate data from internal Finance and CRM Systems.
• Deliver data sets and aggregations to support Finance business partners.
• Develop & Maintain predictive modelling techniques for the Revenue and Sales forecasting processes.
• Develop standard reports and templates.
• Develop re-usable models to analyse business performance and automate commentaries.
• Consolidate data for analytical applications.
• Document requirements and business processes.
• Create conceptual and logical data models to support key functional domains.
• Investigate data and reporting issues and create reconciliation procedures.
• Partners with business lines to identify opportunities to integrate new technologies and processes to strengthen or expand business line analytic capabilities. 
• Develops solutions in accordance with enterprise and team standards and practices.

Skills on Resume: 

• Data Translation (Soft Skills)
• Financial Data Preparation (Hard Skills)
• Data Integration & Cleansing (Hard Skills)
• Data Delivery (Hard Skills)
• Predictive Modeling (Hard Skills)
• Report Development & Automation (Hard Skills)
• Data Consolidation & Modeling (Hard Skills)
• Problem Solving & Innovation (Soft Skills)

Job Summary:

• Maintaining and further developing this landscape in collaboration with the other members of the ICT team.
• Analyzing the reporting needs and being aware of the entire reporting landscape within ECS.
• Functionally managing the Data Warehouse
• Analyzing and testing the adjustments and extensions.
• Analyze the available business data in depth using statistical techniques and analytical IT tools. 
• Provide valuable information to the company.
• Help predict volumes, expose pain points and opportunities and provide information for pricing and planning decisions.
• Organize analytics projects and stay informed of recent trends and developments
• Analyzing historical data as input for our modules
• Predict volumes and trends based on data research
• Maintain the reporting environment and handle new requests, with an eye for standardization and customer-friendliness
• Developing dashboards in Qliksense
• Analyzing and building specific project-related studies 
• Help evolve from raw data to intelligence and knowledge
• Take control of various customization requests

Skills on Resume: 

• Data Analysis Skills (Hard Skills)
• Data Warehousing Management (Hard Skills)
• Reporting Expertise (Hard Skills)
• Predictive Analytics (Hard Skills)
• Project Management (Soft Skills)
• Dashboard Development (Hard Skills)
• Customization Management (Hard Skills)
• Communication and Collaboration (Soft Skills)

Job Summary:

• Keeps the Manager apprised of issues within the office and seeks assistance in a timely manner such that critical deadlines are kept.
• Direct leadership and training provided to other analyst levels.
• Assist manager/director in managerial tasks
• Provide inspiration from leadership perspective for innovative outside-the-box thinking to streamline complex tasks into scalable, data-driven solutions.
• Accomplish technical reviews and evaluate developer deliverables for correctness, consistency, and completeness as related to solution architecture
• Recommend changes as appropriate to Reimbursement leadership.
• Design, develop, test and deploy data warehousing/business intelligence toolsets to gather, store, and provide access to data for Finance/Reimbursement management decision-making. 
• Designs, develops, tests, deploys and supports complex measure algorithms in the form of advanced SQL scripts and database queries.
• Gain consensus and agreement with business units and senior management to conduct needs assessment to support organization strategies, tactics
• Learning solutions that support Finance/Reimbursement and Revenue Cycle Objectives.
• Prioritizes/assigns complex and advanced data manipulation tasks using available and most appropriate data management tools such as SAP HANA, Lumira, WEBI, Tableau, Informatica, TFS or SQL queries and database stored procedures. 

Skills on Resume: 

• Communication and Reporting (Soft Skills)
• Leadership and Training (Soft Skills)
• Managerial Assistance (Soft Skills)
• Innovative Thinking (Soft Skills)
• Technical Proficiency (Hard Skills)
• Data Warehousing (Hard Skills)
• Advanced SQL (Hard Skills)
• Stakeholder Engagement  (Soft Skills)