Senior Analytics Engineer

• Data Infrastructure and Modeling: Own and evolve the commercial data environment, including pipelines, transformations, business-facing models, and data marts.
• Multi-Source Data Integration: Ingest, standardize, and reconcile data across eCommerce platforms, global retailers, marketing channels, financial systems, APIs, connectors, and recurring files.
• Data Quality and Reliability: Establish testing, monitoring, and reconciliation processes; investigate issues across source data, pipelines, transformation logic, and downstream reporting.
• Reporting and Self-Service Analytics: Develop trusted datasets, dashboards, and analytical tools that enable teams to evaluate performance and answer recurring business questions independently.
• Retail and Omnichannel Analytics: Build scalable reporting across products, retailers, countries, channels, and stores to support planning and performance management.
• Forecasting and Process Modernization: Translate commercial forecasting and reporting requirements into more scalable, automated, and durable technical solutions.
• AI and Analytics Enablement: Establish clear metric definitions, documentation, semantic models, and governed datasets that support self-service and AI-enabled analytics.
• Cross-Functional Partnership: Partner with Digital, DTC, Retail, Marketing, Finance, and Leadership to translate business questions and requirements into effective data products and analytical solutions.

• 6+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a related data role.
• Required experience supporting data and analytics for an eCommerce, retail, or consumer business.
• Advanced SQL skills and strong experience developing production data models and transformation pipelines.
• Strong experience with dbt or a comparable data-transformation framework.
• Proficiency in Python for data processing, automation, API integrations, and analytical workflows.
• Experience with a cloud data warehouse such as Redshift, Snowflake, BigQuery, or Databricks.
• Experience working with data from multiple platforms, retailer partners, APIs, connectors, and structured files.
• Experience with analytical and visualization tools such as Hex, Looker, Tableau, Power BI, Mode, or comparable platforms.
• Working knowledge of Git-based version control and collaborative development practices.
• Strong commercial judgment and the ability to translate ambiguous business questions into clear technical requirements and solutions.
• Strong communication skills, including the ability to explain data logic, definitions, and limitations to nontechnical stakeholders.
• Strong documentation practices and exceptional attention to data accuracy, consistency, and usability.
• Proactive, resourceful, and comfortable independently owning technical work in a fast-paced environment.
• Preferred: Experience with Shopify, retailer data, marketing and attribution platforms, commercial forecasting, customer analytics, or profitability reporting.
• Preferred: Experience developing semantic layers or data foundations for AI-enabled analytics.
• Beauty-industry experience is a plus.

At Haus Labs, how you communicate is as important as what you communicate.

We are seeking driven team players with strong communication skills and enthusiasm for collaboration.

• You're a self-starter who possesses an entrepreneurial spirit.
• You thrive in a fast-paced, agile environment.
• You are a team player who approaches solutions from a place of curiosity and positivity.
• We are seeking HAUSmates who welcome constructive criticism and have an impeccable attention to detail.

• Equity
• Cell phone stipend
• Paid, Equal Parental Leave for Birth, Non-Birth, and Adoptive Parents
• Comprehensive medical, dental, and vision coverage

• 401(k)
• Life Insurance
• FunHaus Event

Everyone is welcome at Haus Labs

“Baby, you were born this way.” Regardless of age, education, ethnicity, gender, sexual orientation, or any personal characteristics, we want everyone to feel welcome.

We are committed to building a diverse and inclusive, equal opportunity workplace.