Analytics Engineer

United States Sales Operations

Blend helps lenders maximize their digital agility. Our digital lending platform is used by Wells Fargo, U.S. Bank, and other leading financial institutions to increase customer acquisition, improve productivity, and accelerate the delivery of any banking product across every channel. Through our software, we enable our customers to process an average of more than $5 billion in loans per day, helping consumers get into homes and gain access to the capital they need to lead better lives.


Blend is hiring an Analytics Engineer to help drive our Business Intelligence efforts. You will partner closely with leaders across the organization, working together to understand the how and why of people, team and company challenges, workflows and culture. The team is responsible for delivering data and insights that drive decision-making, execution, and investments for our product initiatives.

You will work cross-functionally with product, marketing, sales, engineering, finance, and our customer-facing teams enabling them with data and narratives about the customer journey. You’ll also work closely with other data teams, such as data engineering and product analytics, to ensure we are creating a strong data culture at Blend that enables our cross-functional partners to be more data-informed.

How you’ll contribute:

  • Develop objectives and metrics, ensure priorities are data-driven, and balance short-term and long-term goals
  • Develop deep analytical insights to inform and influence product roadmaps and business decisions and help improve the consumer experience
  • Work closely with GTM and supporting operations teams to author and develop core data sets that empower analyses
  • Deeply understand the business and proactively spot risks and opportunities
  • Develop dashboards and define metrics that drive key business decisions 
  • Build and maintain scalable ETL pipelines via solutions such as Fivetran, Hightouch, and Workato
  • Design our Analytics and Business Intelligence architecture, assessing and implementing new technologies where fitting
  • Work with our engineering teams to continually make our data pipelines and tooling more resilient 

Who you are:

  • Bachelor’s degree or equivalent required from an accredited institution with a quantitative focus such as Economics, Operations Research, Statistics, Computer Science OR 1-3 Years of Experience as a Data Analyst, Data Engineer, Data Scientist
  • Must have strong SQL and data modeling skills, with experience applying skills to thoughtfully create data models in a warehouse environment
  • A proven track record of using analysis to drive key decisions and influence change
  • Strong storyteller and ability to communicate effectively with managers and executives
  • Demonstrated ability to define metrics for product areas, understand the right questions to ask and push back on stakeholders in the face of ambiguous, complex problems, and work with diverse teams with different goals
  • A passion for documentation
  • A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a dynamic environment
  • A bias towards communication and collaboration with business and technical stakeholders
  • Quantitative rigor and systems thinking

Bonus Points

  • Prior startup experience is preferred, but not required
  • Interest or experience in machine learning techniques (such as clustering, decision tree, and segmentation) 
  • Familiarity with a scientific computing language, such as Python, for data wrangling and statistical analysis
  • Experience with a SQL focused data transformation framework such as dbt
  • Experience with a Business Intelligence Tool such as Mode/Tableau

Benefits and Perks: 

  • Meaningful equity and a 401(k) plan
  • Comprehensive health benefits
  • Wellness benefits covering a variety of wellness activities, gym memberships, fitness classes and more
  • Daily meal stipend during COVID-19 (lunch, dinner, snacks, and Pizza Fridays when working from the office)
  • 16 weeks of paid parental leave
  • Generous vacation policy, company-wide mental health days during COVID-19
  • Work from home office set up stipend and internet stipend during COVID-19
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, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We will consider for employment all qualified applicants with arrest and conviction records in a manner consistent with applicable laws.
If you have a disability and you wish to discuss potential accommodations related to applying for employment, please contact Blend at (650) 550-4810 or

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