Lead Data Analyst

ParetoHealth; Philadelphia (Philadelphia County); On-site; USD 90,000 - 130,000; Full time

Job summary

ParetoHealth, headquartered in Philadelphia, is seeking a Lead Data Analyst to bridge data science and BI analytics. This senior individual contributor role partners with data scientists and stakeholders to tackle complex analytical problems, lead analyses end-to-end, and translate results into actionable insights.

You will not be building predictive models for production and there are no people management responsibilities.

Qualifications

• Senior, analytically sophisticated individual contributor who works between data science and BI analytics.
• Not focused on predictive models for production and does not include people management.
• Reports to the VP of Analytics.

Responsibilities

• Lead End-to-End Analyses and translate results into actionable insights.
• Partner with stakeholders to understand business priorities and translate them into analytical approaches.
• Design, test, and refine methodologies for complex analytical questions.
• Work directly with Data Scientists and cross-functional stakeholders.

Job description

About ParetoHealth

ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model.

Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs.

By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people.

Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another.

If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you.

Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future.

About The Team

At ParetoHealth, the Analytics team sits at the intersection of healthcare data, business strategy, and decision-making. We work with rich medical, pharmacy, stoploss, and business datasets to generate insights that directly influence product strategy, client outcomes, underwriting, and internal operations. The team partners closely with a varied set of stakeholders to move from questions to action, promoting data-driven decision making across the organization. We do this within a team culture of collaboration, shared responsibility, mutual respect, and growth.

Position Summary:

This role is designed for a senior, analytically sophisticated individual contributor who feels most at home in the space between data science and traditional BI analytics.

As a Lead Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems. You will lead analyses end-to-end, framing questions, wrangling and validating data, designing sound analytical approaches, and translating results into clear, actionable insights.

This role is not focused on building predictive models or machine learning systems for production, and it does not include people management responsibilities. Success in this role comes from analytic rigor, business judgment, and the ability to turn complex data into decisions. You will report to the VP of Analytics.

Key Responsibilities:

• Lead End-to-End Analyses
  • Partner with stakeholders to understand business priorities and translate them into analytical approaches
  • Design, test, and refine appropriate methodologies for complex analytical questions
  • Work directly with