Sobre

• 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.
• ResponsibilitiesReporting & 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.
• Required Qualifications & Skills
• Bachelor’s degree in Business Analytics, Data Science, Statistics, Computer Science, or a related field.
• Strong proficiency in SQL for data extraction, transformation, and validation.
• Hands-on experience with BI and data visualization tools (e.g., Tableau, Power BI, Looker Studio).
• Advanced skills in Microsoft Excel or Google Sheets.
• Experience working with digital analytics tools such as Google Analytics (GA4) or Adobe Analytics.
• Excellent analytical problem-solving skills and a high attention to detail.
• Ability to communicate technical findings clearly to both technical and non-technical audiences.
• Understanding of retail or e-commerce business models, KPIs, and workflows.
• Preferred Qualifications
• 4+ years of experience in a Business Intelligence, Data Analyst, or Business Analyst role, ideally in a fast-paced e-commerce or omnichannel environment.
• Experience with paid media analytics, attribution platforms, and marketing measurement tools.
• Familiarity with data warehousing concepts, ETL processes, and cloud-based data tools (BigQuery, Stitch, Snowflake, etc.).
• Experience with programming languages for analytics such as Python or R.
• Experience designing automated reporting infrastructures and scalable analytics systems.