Sr. Data Analyst

About Reserv

Reserv is an insurtech creating and incubating cutting-edge AI and automation technology to bring efficiency and simplicity to claims. Founded by insurtech veterans with deep experience in SaaS and digital claims, Reserv is venture-backed by Bain Capital and Altai Ventures and began operations in May 2022. We are focused on automating highly manual tasks to tackle long-standing problems in claims and set a new standard for TPAs, insurance technology providers, and adjusters alike. We have ambitious (but attainable!) goals and need people who can work in an evolving environment. If building a leading TPA and the prospect of tackling the long-standing challenges of the claims role sounds exciting, we can't wait to meet you.

About the role

As a Senior Analyst in a well-funded Series C stage start-up, you will be defining our growth potential for years to come.You will be an integral part of Reserv's data team, working to develop and maintain our data model, curate the semantic layer that powers our analytics and intelligent tools, and generate the new features that unlock deeper insight into our claims. For this role, we are seeking data analysts with strong Python and SQL skills, a curiosity for how claims work and how our systems work them, the ability to communicate with technical and non-technical stakeholders alike, and the ability to both run independently and collaborate with our engineering and operations orgs. If you are ready to mold the vision for Reserv’s technology, join us on the journey.

Location Requirement

Candidates must reside in an eligible U.S. state throughout employment. We are unable to hire candidates residing in California, Alaska, Hawaii, U.S. territories, or outside the United States.

What you'll do

Build and maintain dashboards that provide actionable insights for executive and functional leaders

Develop robust Python- and SQL-based reports to support a deeper understanding of the claim lifecycle and operational performance

Collaborate closely with engineering and operations teams to understand source system structures and translate them into our standardized data model

Conduct analyses to investigate performance issues, identify root causes, and make recommendations to leadership

Serve as the primary technical liaison between the data team and key internal stakeholders, ensuring analytical solutions meet real business needs

Communicate ideas and solutions through clear, concise writing and presentations

Help influence the culture, values, and processes of a growing data team

Enjoy and have fun being creative and thinking outside of the box. You will need to draw on analogous situations you’ve worked on before, but we are not traversing well-traveled roads. “Where we’re going, we don’t need roads!”

Qualifications

2–4 years of experience as an individual contributor in data analytics, business intelligence, or consulting

Strong proficiency in SQL (e.g., Postgres, BigQuery, or Snowflake) and experience working with large, structured datasets

Experience building reports or dashboards in Looker (preferred) or a similar BI tool (e.g., Tableau, Power BI, Mode)

Strong analytical and problem-solving skills with the ability to distill complex data into clear, actionable insights

Excellent communication skills — able to summarize findings and present recommendations to senior leaders

Ability to collaborate effectively with both technical and non-technical stakeholders in a fast-paced environment

Have a strong technical skillset but also the willingness and ability to take over tasks outside your core competency

Benefits