Data Analyst
Blend San Francisco, CA, USA Competitive Long term Any
About Blend

At Blend, we’re dedicated to improving lending. We’re an enterprise technology company, but our product affects the most important purchase most people will make in their lifetime—their home. For homebuyers, our product offers a clear, guided path to a new home. For lenders, we provide modern, easy-to-use tools that let employees spend their time helping customers instead of doing repetitive, manual tasks. By aligning and modernizing this archaic industry, we believe everybody wins and we’re just getting started.

The Data Analytics team is responsible for advancing Blend’s core business by identifying and collaborating with the product team to help drive understanding, growth, and the success of existing and future products. In partnering with the product team (Product Management, Design, Engineering) you will ensure Blend is bringing the best quality products to market. Analytics also works closely with Data Engineering to build insights, craft user narratives, and help define the product vision.

Founded in 2012 by former Palantir leaders, we’re currently backed by Founders Fund, Andreessen Horowitz and other prominent investors, and growing quickly.

Job Description


  • Use data to inform and influence product roadmaps and business decisions
  • Develop deep analytical insights around product use and customer experiences across varied data sets and products
  • Explore product and customer experience data, develop objectives and metrics, ensure product priorities are data-driven, and balance short-term and long-term goals
  • Partner with Product Managers and other internal business stakeholders to scope, measure, and drive product development. Help quantify the impact of qualitative insights
  • Work closely with Data Engineering to author and develop core data sets that empower analyses
  • Help build a data-driven product culture by driving awareness and understanding of metrics with dashboards and reports



  • Experience writing production datasets in SQL or building data tools for ETL
  • Familiarity with a scientific computing language, such as Python
  • Understanding of fundamental probability and statistical concepts, such as hypothesis testing, maximum likelihood, and basic regression
  • Interest or experience in machine learning techniques (such as regression, decision tree, and segmentation) is helpful, but not required. A proven track record of using analysis to drive key decisions and influence change
  • Demonstrated ability to structure complex problems, derive insights from data, and communicate with diverse teams.

Blend is an equal opportunity employer that values diversity, inclusion and belonging. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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