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Lead Data Analyst

Reserv

Full-time
UK
data analyst
python
product management
docker
architecture
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

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 adjusters 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 lead analyst in a well-funded Series A stage start-up, you will be defining our growth potential for years to come. You will be an integral part of Reserv’s data organization, working with our customers to deliver exemplary data management of their claims portfolios.

 

For this role, we are seeking an experienced analytics professional with strong technical skills and a deep understanding of the UK insurance ecosystem. Further, this role will require you to come in having experience both with analytics as a customer success function and with building high-performing teams of analysts to fulfill this premise.

 

What you will do

  • Work with our data stack: Python (Pandas to Langchain), Postgres, Looker, ECS, Docker etc.

  • Ship reporting code and build ML tools that solve for our customers’ needs.

  • Serve as the main technical liaison between Reserv and our customers in the UK.

  • Provide Reserv with a deep competency in the UK insurance data market and deliver world class data solutions to that effect.

  • Communicate ideas and specifications through detailed, precise writing.

  • Influence the culture, values, and processes of a growing technology 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

  • 8-10 years of experience in a data science or analytics role, preferably within the insurance and/or claims space, with material experience building analytics teams

  • Have a proven track record of shipping high quality data analysis at a high cadence.

  • Experience using modern analytics and programming languages with an emphasis on statistical analysis.

  • A proven ability to manage relationships with high value customers and communicate with both technical and non-technical audiences alike.

  • The ability to wear adjacent hats as we grow the scope of the data science team: product management, customer success and systems architecture.

  • A passion for building intuitive technology and a thirst for learning.

Benefits

  • Generous health-insurance package with nationwide coverage

  • Pension plan with employer contributions

  • Competitive holiday / leave policy in addition to bank holidays – we want our employees fresh, healthy, happy, and energized!

  • Industry Qualifications paid by us (after a qualifying period)

  • 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 and believe that a variety of perspectives leads to innovation and success. We are actively seeking candidates who will bring unique perspectives and experiences to our team. We welcome applicants from all backgrounds and encourage those from underrepresented groups to apply. If you believe you are a good fit for this role, we would love to hear from you!

About the job

Full-time
UK
30 Applicants
Posted 1 year ago
data analyst
python
product management
docker
architecture
Enhancv advertisement

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Lead Data Analyst

Reserv
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

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 adjusters 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 lead analyst in a well-funded Series A stage start-up, you will be defining our growth potential for years to come. You will be an integral part of Reserv’s data organization, working with our customers to deliver exemplary data management of their claims portfolios.

 

For this role, we are seeking an experienced analytics professional with strong technical skills and a deep understanding of the UK insurance ecosystem. Further, this role will require you to come in having experience both with analytics as a customer success function and with building high-performing teams of analysts to fulfill this premise.

 

What you will do

  • Work with our data stack: Python (Pandas to Langchain), Postgres, Looker, ECS, Docker etc.

  • Ship reporting code and build ML tools that solve for our customers’ needs.

  • Serve as the main technical liaison between Reserv and our customers in the UK.

  • Provide Reserv with a deep competency in the UK insurance data market and deliver world class data solutions to that effect.

  • Communicate ideas and specifications through detailed, precise writing.

  • Influence the culture, values, and processes of a growing technology 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

  • 8-10 years of experience in a data science or analytics role, preferably within the insurance and/or claims space, with material experience building analytics teams

  • Have a proven track record of shipping high quality data analysis at a high cadence.

  • Experience using modern analytics and programming languages with an emphasis on statistical analysis.

  • A proven ability to manage relationships with high value customers and communicate with both technical and non-technical audiences alike.

  • The ability to wear adjacent hats as we grow the scope of the data science team: product management, customer success and systems architecture.

  • A passion for building intuitive technology and a thirst for learning.

Benefits

  • Generous health-insurance package with nationwide coverage

  • Pension plan with employer contributions

  • Competitive holiday / leave policy in addition to bank holidays – we want our employees fresh, healthy, happy, and energized!

  • Industry Qualifications paid by us (after a qualifying period)

  • 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 and believe that a variety of perspectives leads to innovation and success. We are actively seeking candidates who will bring unique perspectives and experiences to our team. We welcome applicants from all backgrounds and encourage those from underrepresented groups to apply. If you believe you are a good fit for this role, we would love to hear from you!

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