Analytics Engineer

<h3>📋 Description</h3> • Gold Table Ownership: Architect, build, and maintain clean, reliable gold tables in Databricks that define and calculate core SaaS metrics (e.g., MRR, Net Revenue Retention, Churn, Sales, Upsells). This role should show ownership in centralizing final data for consumption across multiple visualization tools (Power BI, DOMO) • Business Logic Implementation: Work closely with Finance, RevOps and Executive team to encode business rules in PySpark and SQL, ensuring alignment across reporting and planning tools • Data Modeling & Pipelines: Design efficient, scalable data models and ETL workflows to support both executive dashboards and external financial reporting • Metric Governance & Documentation: Maintain detailed version-controlled documentation of metric definitions, transformations, and dependencies. Ensure traceability and reproducibility of reported numbers • Cross-Team Collaboration: Partner with BI developers, FP&A analysts, Rev Ops and business stakeholders to validate data accuracy, interpret results, and support metric adoption • Performance Optimization: Continuously monitor and improve the performance of queries and data structures used in Power BI and other visualization tools <h3>🎯 Requirements</h3> • 4+ years of experience as a Data Engineer, Analytics Engineer, or similar role, ideally within a SaaS, subscription, or recurring revenue environment • Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or a related field • Degrees in Finance, Economics, or Business will also be considered if combined with strong SQL and data modeling experience • Advanced SQL, PySpark and data modeling skills • Expertise in Databricks or similar Spark-based platforms • Proficient with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) • Experience with orchestration tools (e.g., dbt, Airflow) • Familiarity with Power BI, DOMO, or Tableau from a data source perspective • Strong understanding of SaaS business models and metrics: MRR, ARR, Churn, NRR, CAC, LTV • Experience working with Finance and RevOps stakeholders • Ability to translate business logic into transparent, scalable technical implementations • Fluency in English Speaking and Writing • Strong communication and documentation skills • Detail-oriented, organized, and proactive in driving data quality • Comfortable working cross-functionally in a remote, fast-paced environment <h3>🏖️ Benefits</h3> • Fully remote work • The opportunity to join an international team • Career growth opportunities • Generous Paid Time Off