Senior Analytics Engineer (Multiple Domains)

Hidden Jobs; United States; Hybrid; USD 140,000 - 190,000; Full time

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.