Remote Senior Analytics Engineer

HeroCoders is a Platinum Atlassian Partner with over 70,000 companies using their tools worldwide. They are a small, fully remote team of 20 people focused on building powerful apps to help people work more efficiently, experiencing steady 33% annual growth.

• 5+ years of hands-on experience building analytics, including setting up a data warehouse, writing transformation logic in dbt, and delivering SSOT used by business teams
• Proficient in SQL and data modeling for analytics: star schemas, facts/dimensions, metric layers, with understanding of naming conventions and documentation
• Experience building ELT/ETL pipelines end-to-end: API ingestion, incremental loads, orchestration, monitoring, and recovery
• Ability to write Python (or similar) for integrations, API work, and lightweight automation, with understanding of when scripting is appropriate
• Experience with subscription/SaaS data and metrics like MRR, ARR, churn, retention cohorts, NRR, and LTV
• Delivered analytics supporting go-to-market, growth, or product-led teams, helping marketers measure CAC, PMs size features, or CS identify at-risk accounts
• Strong experience with BI tools and awareness of future BI trends involving LLMs and chatbots
• Comfortable working directly with business stakeholders to translate vague questions into structured analysis and clear answers
• Pragmatic approach: choosing simplest architecture, documenting decisions, avoiding over-engineering

Nice to have:

• Experience with Atlassian Marketplace and HubSpot
• Experience with product analytics platforms (Mixpanel, Amplitude), event modeling, instrumentation planning, and connecting product data to business outcomes
• Experience as first or early data hire at a startup, prioritizing ruthlessly, building trust with stakeholders, and progressing without a large team
• Comfort with AI-assisted development workflows (Cursor, Claude Code)

• Define the Data Platform, setting up a cloud data warehouse (Snowflake), DBT (core/cloud), repositories, data alerting, BI system, and AI-based analytics engineering development working model (Claude, Cursor, Conductor, etc.)
• Ingest core data sources: Atlassian Marketplace API, HubSpot, and product databases (Postgres, MongoDB)
• Build the SSOT data layer using dbt: clean, tested, version-controlled transformations
• Deliver trusted retention and churn analytics (active customers, logo churn, revenue churn, Net Revenue Retention)
• Establish a metric glossary with clear, agreed-upon definitions for core business metrics
• Set up pipeline monitoring, data quality checks, and alerting to catch broken data before it reaches dashboards
• Build LTV and unit economics models (CAC, ROAS, payback period) by connecting marketing spend data with downstream Marketplace and CRM data
• Model the full customer lifecycle: trial → paid → expansion → churn, with cohort and conversion analytics
• Fix and automate the Atlassian ↔ HubSpot data sync (reverse ETL), replacing fragile custom scripts with a reliable, maintainable solution
• Identify cross-sell opportunities by modeling multi-product adoption across the 70K+ customer base
• Build and maintain key dashboards for leadership, marketing, product, and customer success

• 33 days of paid annual leave
• Completely remote position
• Control over professional development
• Annual retreat to spend quality time together
• Being part of a small, growing company and participating in its growth

This recruitment process will be conducted entirely in English. Candidates must have 4 hours overlap with typical CET/CEST business hours (9am - 4pm).