Product Insights Analyst, Consultant – Healthcare Data

Blue Shield of CA

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Your Role

The Product Strategy Insights Analytics team supports the Product Strategy and marketing team with analytical and financial modeling for product development activities for Blue Shield of California. The Product Insights Analyst, Consultant will report to the Senior Manager, Product Strategy Insights Analytics. The team provides valuable insights to strategists to devise strategies and supports work to make healthcare affordable through data analysis, cost of healthcare modeling and forecasting in a healthcare environment. The role includes developing insights into healthcare costs, trends, utilization and risks to support strategic decision making. In this role, you will translate stakeholder business problems into end-to-end analytic solutions-gathering requirements, wireframing models or dashboards, and building statistical models. You’ll lead complex analytics to uncover performance drivers, identify trends, and forecast outcomes.

Your Knowledge and experience

  • Requires bachelor’s degree in data science, data analytics, health informatics, statistics, engineering or related quantitative fields; Master’s degree preferred
  • Requires at least 7 years of prior relevant experience in data analysis with at least 2 years of experience in Health Care (provider, managed care, academic, or gov’t payer)
  • Requires advanced knowledge of healthcare data and managed health plan operations
  • Strong analytic and independent problem-solving skills with proficiency in data analysis tools
  • Understanding of statistical methods and advanced modeling techniques
  • Proficient in experimentation design and A/B testing
  • Requires proficiency in following technical skills
    • High proficiency in scalable data transformation techniques, using SQL, Programming – Netezza, Oracle, Python, SAS
    • Advanced hands-on knowledge of Tableau for creating actionable self-serve dashboards
    • Strong understanding of statistical concepts, including hypothesis testing, margin of error, and confidence intervals
  • Proficiency in the following technical skills are strongly preferred
    • Proficiency in applied statistics, data mining, or other quantitative disciplines using Python / R Programming
    • Expertise in advanced analytics and machine learning, including building models and conducting analyses to uncover trends, generate actionable insights, and support data-driven decision-making
  • Excellent communication and presentation skills with the ability to convey complex information to executive leadership and other stakeholders
  • Ability to partner, collaborate with, and lead relevant stakeholders across diverse functions and experience levels

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External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.

 

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