Über
Location:
Northern Indianapolis (Hybrid, 2-3 days onsite)
About the Company
A fast-growing direct-to-consumer ecommerce brand is expanding its analytics capabilities to support continued growth. The team is modernizing its data stack and building scalable infrastructure to enable smarter, faster decisions across the business.
About the Role
The Senior Analytics Engineer will design and maintain data pipelines, models, and dashboards that power key insights for marketing, supply chain, and executive teams. This person will play a central role in the company's transition to a BigQuery-based data warehouse and Looker for BI.
Key Responsibilities Build and manage ETL pipelines using Airbyte and dbt (or similar tools) Develop clean, efficient data models in BigQuery Create and maintain Looker dashboards for business stakeholders Analyze ecommerce and Shopify data to identify opportunities and trends Ensure data quality, consistency, and accessibility across systems Partner with teams to translate business needs into data solutions Required Qualifications
4+ years of experience in analytics engineering, data engineering, or BI development Strong proficiency in SQL, Python, and data modeling (dbt or similar) Experience with Looker or another BI tool (e.g., Tableau, Power BI) Hands-on experience with BigQuery and PostgreSQL Familiarity with modern ETL tools (Airbyte preferred) Excellent communication and collaboration skills Nice to Have
Ecommerce or Shopify analytics experience Exposure to advanced analytics or data science workflows
Sprachkenntnisse
- English
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