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Salary: USD 135,000 - 145,000 / annual
Haus Labs, a next-generation skincare-infused makeup brand founded by Lady Gaga, is seeking a Senior Analytics Engineer to own and evolve the commercial data environment. This hands-on individual contributor role reports to the VP of Digital and is responsible for building reliable data pipelines, models, and analytics infrastructure that connect data from eCommerce platforms, global retailers, marketing channels, and financial systems into trusted datasets and reporting tools.
Key responsibilities include designing and maintaining the data infrastructure and transformation logic using SQL, dbt, and Python; ingesting and standardizing multi-source data across eCommerce, retail partners, APIs, and connectors; establishing data quality, testing, and monitoring processes; developing self-service analytics dashboards and datasets that enable teams to answer business questions independently; building scalable omnichannel reporting across products, retailers, countries, and channels; translating commercial forecasting and reporting requirements into automated technical solutions; and establishing metric definitions, documentation, and governed datasets to support AI-enabled analytics.
You will partner cross-functionally with Digital, DTC, Retail, Marketing, Finance, and Leadership teams to translate business requirements into effective data products. The role emphasizes strengthening data accessibility, quality standards, and AI readiness through clear semantic models and comprehensive documentation.
Required qualifications: 6+ years in analytics engineering, data engineering, business intelligence, or related data roles; proven experience supporting eCommerce, retail, or consumer business analytics; advanced SQL and production data modeling skills; strong dbt or comparable transformation framework experience; Python proficiency for data processing, automation, and API integrations; cloud data warehouse experience (Redshift, Snowflake, BigQuery, Databricks); multi-platform data integration experience; analytical visualization tools (Hex, Looker, Tableau, Power BI, Mode); Git version control knowledge; and strong commercial judgment to translate ambiguous business questions into technical solutions.
