Client Overview
Our client is one of the fastest-growing lifestyle and apparel brands in the U.S., built on a foundation of mental wellness, community, and thoughtful design. With ambitious plans to scale beyond the $1B mark, the company is investing heavily in a modern data infrastructure that empowers smarter, faster, and more human-centered decision-making across the organization. They operate in a dynamic e-commerce environment and rely on data to drive growth, optimize customer experiences, and accelerate operational performance.
Role Overview
The Business Intelligence Analyst will play an essential role in shaping how the company leverages data to guide strategic and operational decisions across marketing, product, e-commerce, customer experience, finance, and merchandising.
This role sits at the intersection of data, engineering, and business strategy. The ideal candidate is highly analytical, curious, commercially minded, and capable of transforming raw, multi-source data into clear insights and actionable recommendations. You will be responsible for ensuring data accuracy, building scalable reporting systems, and surfacing insights that drive measurable business impact.
Responsibilities
Reporting & Data Infrastructure
- Query, clean, and manipulate large datasets using SQL, Python, or related tools to ensure accuracy and consistency.
- Build, maintain, and optimize dashboards and reports using BI platforms such as Looker Studio, Power BI, or Tableau.
- Consolidate and unify data from multiple sources including e-commerce platforms, paid media, analytics tools, and customer behavior systems.
- Improve reporting efficiency, data refresh speeds, and automation workflows.
- Partner with engineering to validate pipelines, maintain data quality across ETL processes, and ensure reliable performance (BigQuery, Stitch, etc.).
- Document data flows and support the evolution of the company’s analytics architecture.
Analysis & Strategic Insights
- Collaborate with Marketing, Ecommerce, Finance, CX, and Operations to understand their data needs and business goals.
- Translate complex data into clear narratives and actionable recommendations for process improvements, product decisions, and strategic initiatives.
- Define and monitor key performance indicators (KPIs) across customer acquisition, conversion, retention, and profitability.
- Identify trends, anomalies, and growth opportunities through ongoing performance analysis.
- Provide recurring insights to support growth, retention, and long-term lifetime value (LTV) strategies.
- Contribute to cross-functional initiatives by delivering data-driven perspectives and decision frameworks.
