Senior Analytics Engineer (Multiple Domains)

Hidden Jobs

United States

Hybrid

USD 140,000 - 190,000

Full time

2 days ago
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Job summary

Hidden Jobs is seeking a Senior Analytics Engineer to join its analytics organization, working in Consumer, Merchant, or Ads. You will sit inside a cross-functional team, partnering closely with Data Scientists and product stakeholders to turn business questions into reliable, well-modeled data.

This is a senior individual-contributor role with mentoring responsibilities and real influence over the wider data architecture.

Qualifications

  • 5+ years of experience as analytics engineer or BI developer.
  • Hands-on with data integrations, pipelines, data models, metrics and dashboards.
  • Proficient with Snowflake, SQL, Airflow, DBT and Looker (or Tableau/Power BI).
  • Advanced SQL for large datasets and optimized queries.
  • Strong business sense and product-focused analytics experience.

Responsibilities

  • Translate business needs into actionable metrics, dashboards, and reporting layers.
  • Build and maintain data integrations, pipelines, and models powering a central warehouse.
  • Design complex pipelines with orchestration and auto-materialization logic.
  • Shape self-service data modeling and roll out with analytics stakeholders.
  • Raise data literacy through documentation and hands-on training.
  • Mentor and guide junior engineers on the team.

Skills

Analytics engineering
SQL
ETL
Data modeling
Looker/Tableau/Power BI
Airflow
Snowflake
DBT
Mentoring
Data storytelling

Tools

Snowflake
Airflow
DBT
Looker
Tableau
Power BI

Job description

Role overview

Join the analytics organization of a fast-growing online delivery platform as a Senior Analytics Engineer, working in one of three domains: Consumer, Merchant, or Ads. You will sit inside a cross-functional team, partnering closely with Data Scientists and product stakeholders to turn business questions into reliable, well-modeled data. This is a senior individual-contributor role with mentoring responsibilities and real influence over the wider data architecture.

Responsibilities
  • Translate requests from business and product stakeholders into actionable metrics, dashboards, and reporting layers.
  • Build and maintain the data integrations, pipelines, and models that power a central data warehouse and downstream analytics.
  • Design complex pipelines with dependency control, orchestration, and auto-materialization logic.
  • Shape a self-service data modeling strategy and partner with analytics and other stakeholders to roll it out.
  • Raise data literacy across the domain through documentation and hands-on training.
  • Mentor and guide more junior engineers on the team.
Requirements
  • 5+ years of experience working as an Analytics Engineer or BI Developer.
  • Strong hands-on background with data integrations, pipelines, data models, metric development, and dashboards.
  • Working knowledge of Snowflake, SQL, Airflow, DBT, and Looker (or comparable visualization tools such as Tableau or Power BI).
  • Advanced SQL skills, including the ability to write optimized queries against large datasets.
  • Solid business acumen and product-oriented thinking, with experience designing analytics and reporting data models.
Benefits and work setup
  • Choose from tech hubs in Berlin, Stockholm, or Helsinki.
  • Hybrid, office-based, or remote work within the chosen location.
  • Exposure to large-scale geospatial and temporal real-time data across many markets.
  • Culture that emphasizes ownership, humility, learning, and treating people fairly.
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