Data Measurement

About Evernorth:

Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people.

Data Measurement & Reporting Lead Analyst
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ROLE SUMMARY:
Evernorths Digital Data & Analytics (D&A) unit offers solutions that provide actionable insights to internal and external business partners and customers that help reduce health costs, improve outcomes, provide financial security and measure and forecast business performance. The Digital Data & Analytics (D&A) team has joint accountability with business operations to achieve Evernorths customer-centric, business growth objectives and strives for high levels of alignment, day-to-day engagement and. The team provides analytical discipline and rigor to enable fact-based decisions for the business. The ideal candidate for this role will be highly motivated, flexible and embrace change.
The person will work closely with Evernorth Internal customers and Business partners to define, develop and analyze Business Intelligence requirements and deliverables. This individual will work in a highly matrixed environment with end users from various business areas. Moreover, the individual will contribute to user training and adoption of the BI tools available in Evernorth and implement all the necessary governance procedures.

RESPONSIBILITIES:

• Works with internal Evernorth customers and Business partners to develop and analyze business intelligence needs.
• Conduct requirement discussion sessions with stakeholders from various business areas, identify common gaps or challenges across different verticals
• Ability to prioritize business needs based on conversations.
• Communicate effectively with both business partners and data SMEs.
• Works on multiple tasks / projects as team member.
• Create business requirement documents for the design of solutions.
• Identifies and provides input to new technology opportunities that will have an impact on overall Digital Data & Analytics wide BI systems.
• Participates in work stream planning process including inception, technical design, development, data model, testing and delivery of BI solutions.
• Develops demand forecasts and project timelines.
• Designs and delivers end-user training and training materials.
• May perform analysis for a wide range of requests using data in different formats and from various platforms.
• Research business problems and creates models that help analyze these business problems.
• Provides design support for the development of business intelligence solutions.
• Provide trainings to internal business users and lead several business BI forums to build a healthy BI community within Evernorth.
• Ensure Quality / Integrity of data by comparing source data and target data

QUALIFICATIONS:

• Business or Masters degree in MIS, Business, Computer Science or equivalent work experience and training.
• Total 5-8 years of experience with 5+ years of professional experience in SQL
• 5+ years of professional experience in building visualizations, dashboards and reports using BI Tools (e.g. Tableau, ThoughtSpot, Qlik sense, Looker, etc)
• 3+ years hands-on experience working in an agile project delivery environment.
• Evernorth experience a plus, preferably focused on experience with CCW or data warehousing
• Strong requirements analysis skills with data experience.
• Demonstrated experience in data informatics & data exchange, particularly using healthcare and clinical data such as: Claims, Membership, Client Structure, Benefits, Utilization Management/Case Management etc.
• Experience applying a consultative and collaborative approach. Work experience & expertise with team input to influence business priorities and business actions for maximum strategic benefit.
• Demonstrated experience working independently with limited direction / guidance.
• Demonstrable experience in the areas of BI development or data science
• Defining and documenting requirements
• Ability review and analyze code to help decode or research data issues using technologies such SQL, SAS, Python etc.