Data Analyst for Healthcare Insights
6 days ago
About Evernorth Health Services
We are a leading healthcare company that creates innovative pharmacy, care, and benefits solutions to improve health outcomes and increase vitality.
Job SummaryThe Customer Experience & Operations Enablement Analytics organization offers actionable insights to internal and external business partners and customers. The Data Analyst will conduct analysis to assist operational leaders in answering business questions, identifying areas of improvement, measuring success, and explaining events using retrospective analysis.
Key Responsibilities- Work consultatively with stakeholders to proactively identify analytical needs and recommend solutions and methodologies
- Develop call categories leveraging speech analytics tools
- Use operational, survey, voice analytics, and other data sources to uncover opportunities for efficiency and/or customer experience improvement
- Extract, merge, and clean data with expert-level skills
- Compile analytical results that identify, quantify, and prioritize opportunities
- Apply experimental design principles to the evaluation of pilots
- Exercise creativity, foresight, and judgment in conceiving, planning, and delivering results
- Provide consultative research input into the development of dashboards and business tools
- Maintain analytics skillset through understanding new technologies, modeling techniques, and the ability to execute and apply them to work
The estimated salary for this position is $120,000 - $150,000 per year, depending on qualifications and experience.
Requirements- BA degree preferred (or equivalent qualification)
- 5+ years of professional experience in healthcare analytics or a related field
- Strong skills in statistical analysis, root cause analysis
- Self-motivated with strong leadership qualities, including a strong customer focus, managing stakeholder expectations, and influencing decision-making
- Strong verbal/written communication skills
- Expert level ability to mine and summarize data from large datasets using MS SQL Server, Oracle
- Proficiency with statistical analysis tools or programming languages preferred; i.e., SAS, SPSS, Alteryx, Python, Jupyter Notebook, R
- Effective user of BI, Tableau, and MS Office software, specifically Excel, Access, PowerPoint
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