Analytics Lead
Confirmed live in the last 24 hours
Assurance IQ

1,001-5,000 employees

Digital platform for personalized insurance recommendations and guidance.
Company Overview
Assurance IQ stands out for its unique blend of technology and human expertise, offering personalized insurance recommendations based on individual needs and circumstances. The company's competitive edge lies in its self-service customer portal, powered by an advanced intelligence engine and supported by a vast network of licensed insurance agents, which allows for unbiased, cost-effective insurance solutions. With a culture centered around collaboration and a mission to make quality coverage more accessible, Assurance IQ has already helped 120 million people find the right coverage, demonstrating its industry leadership.
Financial Services
Data & Analytics

Company Stage


Total Funding





Seattle, Washington

Growth & Insights

6 month growth


1 year growth


2 year growth

Seattle, WA, USA • Toronto, ON, Canada
Experience Level
Desired Skills
Data Analysis
Data Science
Data & Analytics
  • Bachelor's degree in Computer Science, Mathematics, or a related field; or equivalent work experience
  • 3+ years of experience in roles such as Data Scientist, Analytics Engineer, or Financial Analyst
  • Advanced SQL skills and experience working with relational databases, including query authoring (SQL) and familiarity with various databases
  • Proficiency in data storytelling, with the ability to extract relevant insights from extensive datasets and present them in a clear, concise manner
  • Experience with data visualization tools, such as Looker, Tableau, or other BI tools
  • Familiarity with data framework tools, such as dbt
  • Strong project management and organizational skills
  • Proven experience in supporting and collaborating with cross-functional teams in a dynamic environment
  • Experience leading and managing analytical teams
  • Team Leadership: Manage a small, highly skilled team of business analysts, each specializing in different aspects of our finance data workflow
  • Player-Coach Approach: Act as a player/coach by taking individual ownership of specific analytics initiatives, diving deep into details, building data products, and presenting insights to finance stakeholders
  • Ownership of Finance Analytics: Be the owner of data analytics supporting the finance organization; leading stakeholder engagement, developing roadmaps, and effectively communicating findings
  • Cross-Functional Collaboration: Work closely with Data Engineering, Data Science, and Finance Data Consumers to develop high-performance data products that empower our broader finance team to perform analytics and answer critical financial questions
  • Data-Driven Decision Support: Leverage your expertise in complex data analysis to guide the business in making informed, data-driven decisions when needed
Desired Qualifications
  • Proficiency in Python
  • Experience working with financial data and a strong grasp of finance concepts
  • Familiarity with CI/CD automation
  • Knowledge of the insurance and/or finance industry
  • Experience with Trino or similar technologies