A large health insurance companyHiring

Data Analytics and Integration Developer

  • Remote, United States
  • Mid-level
  • Posted 2 weeks ago
In one line

Data integration and reporting role at a health insurer, building pipelines and dashboards in SQL, Power BI and cloud tools; remote, hybrid or onsite.

About the role

Suits someone who likes turning scattered data into reports people actually use. The job sits between analysts, business staff and IT, and good work means requests get answered and the data stays documented.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
SQL, Power BI, Tableau, SSRS, Informatica, SSIS, AWS, Azure
Posted
15 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Pull, clean and reshape data for reporting and business intelligence work
  • Build integration solutions that join separate sources, including vendor data
  • Keep a written record of data sources, business rules and how processing works
  • Work with analysts, business owners and IT so solutions match what the company needs
  • Support reporting tools such as Power BI, Tableau and SSRS, and improve how people reach the data
  • Write SQL and scripts to build and speed up data workflows

What they look for

  • Hands-on experience with ETL tools and frameworks, for example Informatica or SSIS, and data pipelines
  • Comfort extracting, transforming and loading data from a warehouse
  • Ability to handle one-time data requests as well as recurring analytics needs

Benefits

  • Incentive pay program
  • Health, vision and dental insurance
  • Six weeks paid parental leave, plus fertility and adoption help
  • Two weeks paid caregiver leave
  • 401(k) matching up to 5%

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Questions about this job

Is this job fully remote, and from where?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a mid-level role. The posting asks for: hands-on experience with ETL tools and frameworks, for example Informatica or SSIS, and data pipelines; comfort extracting, transforming and loading data from a warehouse; ability to handle one-time data requests as well as recurring analytics needs. Skills it names include SQL, Power BI, Tableau, SSRS.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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A large health insurance companyRemote, United States
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