Senior Advisor, Business Analytics – Digital Product

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with Digital Product teams to ensure analytics and test/learn agendas are aligned with the strategic priorities of the business and enterprise.

• Convert business strategies into organized measurement frameworks, encompassing KPIs, success metrics, and hypotheses for experimentation.

• Actively seek opportunities to improve digital experiences, engagement, and value creation through analytics.

• Assist in prioritizing digital investments by basing decisions on data, performance insights, and anticipated business impact.

• Assess the effectiveness of digital capabilities and suggest enhancements, optimizations, and new feature opportunities.

• Conduct in-depth analyses of performance drivers, including adoption, engagement, friction points, and leakage throughout customer journeys.

• Develop, implement, and promote frameworks for segmentation, behavioral, and journey analysis to identify potential areas for improvement.

• Evolve analytical methods from one-time analyses to repeatable, scalable frameworks and data products.

• Identify key factors influencing customer satisfaction, engagement, and perceived value across digital experiences.

• Distill complex analytical results into clear, persuasive narratives that guide business strategy and foster sustained enterprise impact.

• Offer strategic insights for prioritization, roadmap development, and investment trade-offs.

• Collaborate across the enterprise to integrate analytics products and insights into strategic priorities and business growth plans.

⛳️ Requirements

• Extensive experience in business analytics and/or digital product analytics.

• Strong business acumen with the capacity to link analytics to financial and strategic outcomes.

• Proven ability to create and implement analytical frameworks that support outcome-based decision-making.

• Experience navigating complex, evolving data environments.

• Exceptional communication skills with the ability to translate complex analytics into business and customer implications.

• Proficient in analytics tools and platforms (e.g., SQL, Python/R, Tableau, Databricks).

• Knowledge of segmentation, behavioral, and journey analytics methodologies (preferred).

• Familiarity with informing investment decisions or prioritizing business initiatives (preferred).

• Background in healthcare (preferred).

🏝️ Benefits

• Medical and vision benefits.

• Dental benefits.

• Well-being and behavioral health programs.

• 401(k) plan.

• Company-paid life insurance.

• Tuition reimbursement.

• A minimum of 18 days of paid time off per year.

• Paid holidays.

• Leaves of absence.