Senior Data Analyst / Informaticist

Accountabilities: • Apply advanced data analytics, statistical, predictive, AI-enabled, and optimization techniques to address complex business problems and forecast behaviors.

• Mine and analyze complex datasets to identify patterns, opportunities, risks, and insights that support strategic and operational decision-making.

• Develop, test, and validate analytical and predictive models that improve program outcomes, product performance, consumer experiences, and business value.

• Use AI and automation technologies to increase analytical efficiency, uncover new insights, and enhance decision-making processes.

• Translate analytical findings into clear, actionable recommendations for technical, business, and senior leadership audiences.

• Contribute innovative approaches to financial and operational modeling while developing a strong understanding of business context and objectives.

• Coordinate with analytics, IT, business teams, and subject matter experts to ensure projects incorporate relevant organizational knowledge and insights.

• Make decisions regarding technical approaches for project components while operating with minimal direction and considerable autonomy.

• Contribute to analytical strategy, methodologies, and best practices across the department.

• Present findings and recommendations to senior leaders and stakeholders, clearly explaining implications and potential business impact.

Requirements

• Bachelor’s degree with 5+ years of data analytics experience, or a master’s degree with 3+ years of relevant experience.

• Demonstrated experience in data mining, predictive modeling, and using data to influence business outcomes and decisions.

• Proficiency in at least one programming language such as Python, Java, Scala, C, or R.

• Strong knowledge of analytical methodologies, with experience in areas such as forecasting, simulation, predictive modeling, or related techniques.

• Experience leveraging data, analytics, and technology to solve complex business problems.

• Excellent written and verbal communication skills, with the ability to articulate analytical findings and present insights to senior leadership.

• Strong attention to detail and the ability to manage moderately complex to complex analytical assignments.

• Intermediate proficiency with Microsoft Office applications, particularly Word, Excel, and PowerPoint.

• Passion for contributing to an organization focused on continuously improving consumer experiences.

• An advanced degree is preferred.

• Experience using AI-assisted technologies to support business analysis, requirements gathering, data analytics, documentation, or software development is a plus.

• Six Sigma certification is preferred.

• Experience with technologies such as Databricks, Azure, Copilot, Claude, SQL, Python, Power BI, or similar platforms is highly desirable.

Benefits

• $97,900–$133,500 per year in starting base pay, with the actual offer varying based on geographic location, skills, experience, education, certifications, and other job-related factors.

• Eligibility for a bonus incentive plan based on organizational and/or individual performance.

• Full-time schedule of 40 hours per week in a remote, nationwide position.

• Medical, dental, and vision coverage.

• 401(k) retirement savings plan.

• Paid time off, company and personal holidays, and paid parental and caregiver leave.

• Short-term and long-term disability coverage.

• Life insurance and additional whole-person well-being benefits.

• Remote work support, including telephone equipment appropriate for business requirements.

• Internet service requirements of at least 25 Mbps download and 10 Mbps upload; eligible employees working from home in California, Illinois, Montana, or South Dakota receive a bi-weekly internet expense payment.

• Occasional travel to offices may be required for training or meetings.

• Dedicated, interruption-free workspace required to protect member PHI and HIPAA information.

• Opportunities to work with advanced analytics, AI, automation, and data technologies in a mission-driven environment.

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