Rain13.02.26
AI SCORE 8.5

Senior Analytics Engineer - Remote Opportunity at Rain

$172K–$208K/year

About the Role

We’re looking for a Senior Analytics Engineer to join our team at Rain, where you will play a crucial role in shaping our data landscape. This Senior Analytics Engineer remote position offers you the chance to consolidate fragmented data sources and transform raw information into trusted datasets that drive decision-making across the company.

What You'll Do

  • Partner with stakeholders across the business 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.
  • 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 by 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).
  • Comfortable owning the full lifecycle from ingestion and modeling to metrics and dashboards.
  • Ability to distill complex data concepts into simple, compelling stories for executives and customers.
  • Motivated by helping Rain prove and quantify value to enterprise clients.

Nice to Have

  • Experience as a founding or early analytics engineer, building an analytics foundation and self-serve culture from 0→1.
  • Previous experience at a crypto, Web3, or blockchain company.
  • Background working with payments data, card programs, transaction processing, or other financial services infrastructure.

What We Offer

  • Unlimited time off, with a minimum requirement of 10 days off to ensure work-life balance.
  • Flexible working arrangements, allowing you to work from home or in the office as you prefer.
  • Comprehensive health, dental, and vision plans for you and your dependents.
  • A 401(k) plan with a 4% company match to help you plan for the future.
  • An equity option plan so all team members can benefit from our success.
  • Health and wellness spending for gym memberships, fitness classes, and more.
  • Team summits and off-sites to strengthen relationships and build a common destiny.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Analytics Engineer role at Rain offers a unique opportunity to shape data strategies in a fast-growing fintech company. With a competitive salary and flexible working conditions, it's an attractive position for experienced professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in SQL and experienced with data warehousing solutions like Snowflake and Redshift, enabling efficient data extraction and transformation processes.

Strong understanding of data modeling principles and experience using dbt for data transformation, ensuring high-quality analytics outputs that meet stakeholder needs.

Self-motivated and comfortable in a fully remote environment, demonstrating exceptional time management skills and the ability to collaborate effectively with cross-functional teams across different time zones.

Learning Resources

SQL for Data Sciencecourse

Career Path

Senior Analytics Engineer(Now)Lead Analytics Engineer(1-2 years)Director of Analytics(3-5 years)

Market Overview

Market Size 2024
$34.5B
Annual Growth
12.3%
AI Adoption in Analytics
47%
Investment in Data Technologies
+25%
Labour Demand for Analytics Roles
+30%
Avg Salary for Senior Analytics Engineer
$120K

Skills & Requirements

Required
SQLdbtSnowflake
Growing in Demand
PythonData Visualization (Tableau, Power BI)Machine Learning Basics
Declining
Excel for Data AnalysisTraditional ETL Tools (Informatica, Talend)

Domain Trends

Increased Adoption of Cloud Data Warehouses
Organizations are shifting towards cloud-based data platforms like Snowflake and BigQuery, with a projected growth of 25% in adoption rates by 2025.
Rise of Real-Time Analytics
Real-time data processing is becoming essential, with 60% of companies investing in technologies that support real-time analytics to enhance decision-making capabilities.
Integration of AI in Data Analytics
AI-driven analytics tools are on the rise, with 47% of analytics teams implementing AI solutions to automate data insights and reporting.

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