Data Analyst - Operations
Description
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 data analyst in a well-funded Series B 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 uncover insights that drive better decisions across the company.
For this role, we are seeking an experienced data analyst with 3+ years of experience in an analytical role. You’ll work closely with leaders across the organization to investigate performance trends, develop reporting tools, and help unlock the value of our data. If you are ready to mold the vision for Reserv’s technology, join us on the journey.
What we need
We need you to do all the things typical to the role:
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!”
Requirements
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
Generous health-insurance package with nationwide coverage, vision, & dental
401(k) retirement plan with employer matching
Competitive PTO policy – we want our employees fresh, healthy, happy, and energized!
Generous family leave policy after 8 months of continuous work
Work from anywhere to facilitate your work life balance
Apple laptop, large second monitor, and other quality-of-life equipment you may want. Technology is something that should make your life easier, not harder!
At Reserv, we value diversity in backgrounds, perspectives, and life experiences and believe that diversity in viewpoints and critical thinking drives innovation, first-principles thinking, and success. We welcome applicants from all backgrounds and encourage those from all walks of life to apply. If you believe you are a good fit for this role, we would love to hear from you!
Data Analyst - Operations
Description
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 data analyst in a well-funded Series B 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 uncover insights that drive better decisions across the company.
For this role, we are seeking an experienced data analyst with 3+ years of experience in an analytical role. You’ll work closely with leaders across the organization to investigate performance trends, develop reporting tools, and help unlock the value of our data. If you are ready to mold the vision for Reserv’s technology, join us on the journey.
What we need
We need you to do all the things typical to the role:
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!”
Requirements
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
Generous health-insurance package with nationwide coverage, vision, & dental
401(k) retirement plan with employer matching
Competitive PTO policy – we want our employees fresh, healthy, happy, and energized!
Generous family leave policy after 8 months of continuous work
Work from anywhere to facilitate your work life balance
Apple laptop, large second monitor, and other quality-of-life equipment you may want. Technology is something that should make your life easier, not harder!
At Reserv, we value diversity in backgrounds, perspectives, and life experiences and believe that diversity in viewpoints and critical thinking drives innovation, first-principles thinking, and success. We welcome applicants from all backgrounds and encourage those from all walks of life to apply. If you believe you are a good fit for this role, we would love to hear from you!