Analytics Engineer

WHO WE ARE:

Quartile, the world's largest retail media optimization platform, is a trusted partner for multichannel e-commerce success. Through unmatchedexpertiseand patented AI technology, we fuel growth for 5,300+ brands and sellers worldwide and manage an annual ad spend exceeding$2 billion. The award-winning platform covers major marketplaces and ad channels foroptimalreach. The result is unprecedented granularity, smarter budgeting, and bespoke solutions for retailers.

Quartile is proud to be an equal opportunity employer with employees stemming from a wide range of backgrounds and experiences. As a business, we value the enrichment that diversity brings to our organization and are committed to a culture that creates a sense of inclusion and belonging. We welcome new perspectives and affirm that all employment decisions are made without regard to race, color, ancestry, religion, national origin, age, familial or marital status, sex, sexual orientation, pregnancy, gender identity or expression, disability, genetic information, veteran status, or any other classification protected by federal, state, or local law.

OVERVIEW:

We are looking for an Analytics Engineer who will be the technical owner of our SaaS metrics data architecture. This role is critical in building and maintaining trusted, scalable, and well-documented gold tables for metrics like MRR, Churn, Expansion and Retention. You will work closely with Finance, BI, RevOps, and Product teams to transform raw data into business-ready datasets that power decision-making across the company.

This position sits at the intersection of data engineering, business logic, and financial governance—ensuring that the numbers we report internally and externally are accurate, explainable, and consistent.

REQUIREMENTS:

• 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

….. If youreachedthis point, we hopeyou'refeeling excited about the job description.We'reeager to meet people that believe in Quartile's mission and can contribute to our team in a variety of ways. Feel welcome to apply

PREFERRED QUALIFICATIONS:

• Experience working with billing platforms (e.g., Stripe, Chargebee, Zuora)
• Familiarity with Git-based workflows and CI/CD for data
• Exposure to data privacy and security practices in SaaS environments
• Basic knowledge of DAX or Power BI visual development

WHAT YOU'LL DO:

• 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

BENEFITS:

• Fully remote work
• The opportunity to join an international team
• Generous Paid Time Off

This is a PJ contract based out in Brazil.