Staff Data Analyst

Assured

Completely RemoteFull TimeEngineering & Architecture
Posted Today

Job description

Responsibilities

  • Partner with cross-functional teams to transform data into meaningful insights that drive strategic business decisions.
  • Design and analyze experiments, pilots, and performance evaluations to separate signal from noise.
  • Build dashboards and reporting frameworks to provide visibility into operational performance and organizational health.
  • Analyze data across multiple sources to identify emerging trends, risks, and opportunities for improvement.
  • Use segmentation and cohort analysis to understand customer behaviors and operational processes.
  • Improve data quality and instrumentation by identifying gaps in existing data collection.

Requirements

  • Strong analytical fundamentals with a track record of solving complex business problems.
  • High proficiency in SQL for working with large, complex datasets.
  • Ability to communicate technical findings clearly to both technical and non-technical audiences.
  • Experience navigating ambiguous problems and starting with high-level business questions rather than predefined reports.
  • Experience with modern analytics tools (e.g., Python, R, Tableau, Looker, Snowflake, or similar).

Benefits

  • Competitive salary ($175K – $195K) and equity packages.
  • Platinum medical, dental, and vision insurance.
  • 401(k) with a guaranteed 3% company contribution.
  • Unlimited PTO and paid holidays.
  • Remote work perks including a monthly phone stipend and home office support.
  • Family leave (maternity and paternity).

About the Company

Assured is on a mission to modernize the insurance industry. We provide large insurers with the software solutions they need to thrive in a technology-driven world, from self-service claim-filing software to backend fraud detection. We act as the engine that powers claims processing for some of the largest insurers in the world.

Skills & tools

SQLPythonTableau

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01strong analytical fundamentals
  2. 02SQL proficiency
  3. 03experience solving complex business problems
  4. 04ability to communicate findings to technical and non-technical audiences
  5. 05experience with modern analytics tools
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