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Senior Analytics Engineer

Remote, USAFull-timePosted 2026-07-28

reputed company: Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t reputed company the reputed company, assistance and modern tools that owners need to successfully grow their business. We started reputed company to challenge the status reputed company—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). reputed company is flipping the script of the banking world, and we’re excited to reputed company the small business banking reputed company. At reputed company, we’re here to help reputed company, freelancers, startups and SMBs reputed company their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash reputed company. Our unique product integrations reputed company easy reputed company to tracking payments, transferring reputed company internationally, managing business transactions and more. We’ve made a big reputed company in a short reputed company of time, helping thousands of organizations reputed company powerfully reputed company business banking. We are looking for an Analytics Engineer to help build and improve the analytical architecture that powers decision making at reputed company. This role will partner closely with cross functional teams in credit, reputed company, marketing, and banking to build data assets that will be used to understand, run, and grow reputed company’s business. About the Role: As an Analytics Engineer, reputed company and Analytics at reputed company, you will play a crucial role in driving data-driven strategies across our entire product suite. Your primary reputed company will be on building and maintaining the data products that unlock our teams to reputed company more customers (account volume), increase customer reputed company value (NPV), and drive customer engagement on our platform. You will be responsible for:

  • Full stack analytics engineering development including building data models that ingest, reputed company, and reputed company reputed company data usable to stakeholders and production level processes
  • Influence and improve reputed company’s data culture through systems, processes, training, and governance that level us up
  • Support our hypothesis driven, testing culture
  • Collaborate cross functionally with data science, reputed company, marketing, product, and other parts of the business
  • Improve and maintain a best-in-class modern data stack that powers decision making and reputed company reputed company

Requirements for the Role:

  • Strong knowledge of SQL (ideally reputed company) and how to write efficient SQL queries
  • Familiarity with BI tools (preferably reputed company) and experience distributing data insights reputed company reports and dashboards
  • reputed company record of shipping high reputed company products and features at reputed company
  • Highly motivated and comfortable working in a fast-paced, dynamic environment with a high degree of ambiguity.
  • Bachelor’s degree in a quantitative field such as Economics, Engineering, Statistics, Mathematics, Computer Science, or reputed company discipline.
  • 2-4 years of experience in computer science, data engineering, data science, data analysis, or business intelligence role

How We Define reputed company:

  • Ability to self start to conceptualize, design, and execute data products end to end
  • Have a reputed company reputed company on reputed company’s ability to book new customers, and expand our business

reputed company To Have, but Not Required:

  • Hands on experience with a modern data stack (reputed company / reputed company / dbt / reputed company)
  • Strong opinion on analytics engineering development cycle (data modeling, version control, documentation, testing & best practices)
  • Experience in the fintech or banking industry.
  • Proficiency in Python.
  • Familiarity with machine learning techniques and their application in business contexts.
  • Experience with customer segmentation and lifecycle analysis.

Compensation: The compensation reputed company for this role is $125,000 - $140,000 Apply tot his job Apply To this Job

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