Analytics Engineer

About the Role

You will lead development of the internal data platform, integrating GTM, product analytics, finance, and operational data into a single scalable system. You will design and own data foundations and architecture, build and maintain ETL/ELT pipelines, and create dashboards and analytics. You will partner with stakeholders to define and track KPIs, champion data quality and governance, translate complex requirements into data solutions, and identify automation and optimization opportunities.

Requirements

  • 5+ years of experience in data engineering, analytics engineering, or business intelligence, ideally supporting GTM or business functions
  • Proven ability to manage data integrations across platforms such as Salesforce, HubSpot, BigQuery, Snowflake, Amplitude, Sigma, and Clay
  • Experience with Python for automation and API integrations
  • Exceptional SQL skills and experience building with a modern data stack (BigQuery, dbt, Fivetran, Airflow, etc.)
  • Expertise in building, maintaining, and refining scalable data visualization solutions (Sigma, Looker, Tableau, etc.)
  • Excellent communication and stakeholder management skills
  • Bias toward action and ability to thrive in ambiguity
  • Comfortable working in a fast-paced environment and prioritizing across strategic and tactical initiatives
  • Exposure to product analytics tools such as Segment, Amplitude, and Mixpanel
  • Experience in enterprise B2B SaaS or high-growth startup environments

Responsibilities

  • Build, refine, and own internal data infrastructure, integrating CRM, marketing, product, finance, and operational systems
  • Design, implement, and own ETL/ELT pipelines to ensure clean, reliable, and scalable data flows
  • Partner with stakeholders to define and track KPIs
  • Translate complex requirements into elegant data solutions
  • Champion data quality and governance and ensure documentation
  • Develop dashboards and analytics for executive leadership, GTM, product, and finance
  • Identify and implement automation and optimization opportunities

Benefits

  • Generous compensation in cash and equity
  • Equity with early exercise for all options, including pre-vested
  • Work from anywhere (remote-first)
  • Flexible paid time off and year-end break
  • Health insurance, dental, and vision coverage for employees and dependents (US and Canada specific)
  • 4% matching in 401k / RRSP (US and Canada specific)
  • MacBook Pro provided
  • One-time home office setup stipend
  • Monthly meal stipend
  • Monthly social meet-up stipend
  • Annual health and wellness stipend
  • Annual learning stipend

Skills

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Analytics Engineer at Sardine | JobStash