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Business Analytics Senior Analyst

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Python/SQL

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Business Analytics

The Cigna Group

We’re seeking a Senior Analyst to work alongside a team of ultra-talented and highly driven analysts to unlock new capabilities through collaborative and innovative approaches to solving real-world problems in U.S. healthcare.&nbsp;&nbsp;&nbsp;&nbsp;We need a critical-thinking consultative-minded self-starter passionate about solving complex problems while leveraging emerging technology and extensive data sets to help us better anticipate what’s next and curate compelling stories that give rise to action.&nbsp;&nbsp;Section 3: ResponsibilitiesClearly outline the primary duties and tasks associated with the role. Use action verbs (i.e., lead, drive, analyze, assess, research, etc.) to convey expectations.Responsibilities&nbsp;&nbsp;Leverage your robust knowledge of the US Healthcare system and data sets to creatively explore and identify ways to reimagine how to deliver greater predictability and affordabilityAdopt an agile approach to iteratively build solutions based on well-structured hypotheses and robust test-and-learn approaches that result in transformative capabilities.Partner with our US and Hyderabad-based teams to:&lt; &gt;Ensure our contracts with major health systems are performing to expectations&nbsp;Identify the root cause of trend and cost variance driversFormulate and succinctly communicate remediation recommendations for our US-based teams to engage with health systems to address concerns Monitor and quantity effects of remediation actions&nbsp;Lead efforts to advance medical trend early-detection and monitoring capabilitiesTest and learn how to leverage early indicators of trend by leveraging leading data sources relevant for better anticipating and explaining Precision TrendValidate the relevance of leading data sources to anticipate and explain TrendDeploy consistent methodologies to identify and explain drivers of deviation from PlanEvaluate whether identified deviations from Plan are anomalies or likely to persist and calculate financial effects Communicate findings and suggested adjustments to Plan and future trend expectations to Directors and Senior Leadership Team members&nbsp;Cultivate Collaborative Relationships&nbsp;– fostering a strong collaborative culture and championing a shared services analytics capability while hearing and considering things happening in the macro business and offering suggestions of areas to investigate, based on your data discoveries and team’s capabilities&nbsp;Define, pull, and validate data needs&nbsp;- dive deep to infer meaning and uncover insightful data trends that inform real-world decisions.Tell compelling stories&nbsp;– distill complex subject matters into simple stories that give rise to actionSection 4: QualificationsSpecify the skills, experience, and education required for the role. Differentiate between the “must-haves” and “nice-to-haves”.&nbsp;Required skills: List the specific skills required for the job, including technical, leadership skills, and any industry-specific skills.Required Experience: Clearly state any mandatory requirements, such as formal education, certifications, licenses, or specific years of experience.Desired Experience: List any “nice-to-have” experience, including industry experience, exposure to specific technologies, certifications, etc.&nbsp;Qualifications&lt; &gt;Someone who relates to the world, through data -&nbsp;without data, you feel lost. Creative and naturally curious - you're constantly looking for ways to add value and can't help but get immersed in the challenge of uncovering insightful data patternsObjective, logical, and fact-oriented –&nbsp;you’re rationale in your data discovery. Self-starter&nbsp;- you enjoy working with minimal supervision and thrive off independence to enable value in your own unique waysAbility to make sound decisions and piece together puzzles with limited direction –&nbsp;you’re your own leader. Excited to assemble materials and present to audiences with poise and authority –&nbsp;you have a knack for captivating audiences&nbsp;<h2>Required Education</h2>&lt; &gt;Bachelor’s degree in either Business Analytics, Data Science, Mathematics/Statistics, Computer Science, or a related quantitative field&nbsp;<h3>Required Experience</h3>&lt; &gt;3-5 years&nbsp;of practical US healthcare analytics working within at least one specialized domain of claims-related experience, reimbursement methodologies, or medical terminology (CPT, Dx, ICD10, HCPCS, Rev Codes, etc.)Proven track record contributing to complex analytics projects&nbsp;<h3>Technical Requirements</h3>&lt; &gt;3-5 years&nbsp;of practical technical coding languages (ie. SQL, Python, etc.), enterprise databases, and data architecture (i.e Databricks, Teradata, Oracle, and DB2) and ability to index, partition, and tune the performance of models Ability to hear and translate ideas into self-built functional designs with complementary technical details that support scale and require minimal maintenance&nbsp;&nbsp;3-5 years&nbsp;of data warehousing, profiling, and analyzing disparate datasets with the ability to convert into actionable insights. Demonstrated ability in building reports leveraging business intelligence reporting capabilities – i.e. Tableau with demonstrated stories of how the business has acted against insights

Business Analytics Senior Analyst

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