Hybrid Senior Analytics Engineer

Posted last week

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About the role

  • Analytics Engineer at fintech company working on data models and metrics. Collaborating across teams to inform business strategy and drive growth.

Responsibilities

  • Partner with stakeholders across to understand their data needs and translate them into clear modeling and reporting requirements.
  • Design, build, and maintain core data models (e.g., customer, account, transaction, product usage) using tools like dbt to transform raw logs into canonical, analytics-ready datasets.
  • Define and maintain company-wide metrics for business health, customer engagement, product usage, transaction volumes, payment success rates, and other mission-critical KPIs.
  • Build and evolve ELT/ETL pipelines and orchestration to ensure timely, accurate delivery of data into Rain’s warehouse.
  • Develop dashboards and self-serve analytics layers that make it simple for non-technical teams to explore data, track performance, and answer their own questions.
  • Analyze cross-customer and cross-product trends to surface insights that inform product roadmap, go-to-market strategy, and operational improvements.
  • Establish and enforce data quality standards, testing, documentation, and governance so teams can trust the numbers as we scale.
  • Continuously improve Rain’s analytics stack evaluating new tools, refining models, and raising the bar on performance, reliability, and usability.

Requirements

  • 5–7+ years in analytics engineering, data analytics, or data engineering roles, ideally at early-stage or high-growth B2B SaaS, fintech, or payments companies.
  • Strong analytics skills with deep proficiency in SQL and experience building dimensional / semantic models that are easy for others to use.
  • Hands-on experience with analytics tooling (e.g., dbt, modern ELT tools, Airflow orchestration frameworks) and cloud data warehouses (Snowflake, BigQuery, or Redshift).
  • You don’t just ship tables and charts—you partner with teams to clarify the questions that matter, design the right metrics, and translate data into strategic recommendations.
  • Clear communicator – Able to distill complex data concepts into simple, compelling stories and artifacts for executives, GTM leaders, and customers.
  • Motivated by helping Rain prove and quantify value to enterprise clients and giving customer-facing teams the data they need to win.

Benefits

  • Top-tier coverage: We cover 95% of Medical, Dental, and Vision premiums.
  • 401(k) with matching: Invest in your future, just like we’re investing in ours.
  • Ownership that matters: Every team member gets equity because we believe in building together.
  • Work your way: Flexible hybrid setup with a prime SoHo office for NYC-based teammates.
  • Unlimited PTO: Because time to rest and reset is just as important as time to ship.
  • Product-first perks: Monthly budget to test our cards and features like a real user.
  • Wellness support: Monthly stipend to spend on fitness, therapy, or whatever keeps you thriving.
  • Home office setup: One-time stipend to create a space that works for you.
  • Team connection: Frequent company events, team dinners, and offsites to stay connected.

Job title

Senior Analytics Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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