Job Description

Data Analytics Business Analyst

We are seeking a highly analytical and business-savvy Business Analyst with a strong foundation in data analytics, data science, and BI tools . This individual will serve as the bridge between business stakeholders and technical teams, ensuring data-driven solutions meet the needs of eCommerce, marketing, finance, and product departments.

Responsibilities

• Gather data requirements from stakeholders across eCommerce, marketing, and finance.
• Translate business needs into actionable technical specifications for data engineering and analytics teams.
• Extract, transform, and load (ETL) data from sources.
• Automate ETL pipelines and reporting workflows.
• Develop and maintain interactive dashboards and visualizations.
• Design and manage data warehouse models that reduce redundancy and support analytics initiatives.
• Produce and automate Key Performance Indicator (KPI) dashboards and ad hoc reports.
• Conduct exploratory data analysis and apply statistical methods such as regression and cluster analysis.
• Utilize Google BigQuery ML or similar tools for predictive analytics and customer behavior modeling.
• Troubleshoot data integrity issues and coordinate with cross-functional teams for resolution.
• Deliver clear, tailored insights to business stakeholders and executive leadership.
• Define and document data and workflow processes.
• Act as subject matter expert on eCommerce data analytics and provide mentorship to other analysts.
• Support a culture of accountability and business impact through rigorous data practices.
• Perform other duties as required.

Required Qualifications

• 5+ years of experience in business intelligence, data analytics, data engineering, or similar roles.
• 5+ years of experience as a Business Analyst on data-centric projects in an enterprise environment.
• Hands-on expertise in SQL, Python and/or R, and data visualization tools.
• Strong experience with enterprise databases.
• Familiarity with retail analytics or omnichannel environments is a strong plus.
• Experience working with data science teams and interpreting complex outputs into business-friendly insights.
• Strong communication and interpersonal skills with proven experience interfacing directly with executive-level stakeholders.
• Excellent problem-solving skills, attention to detail, and ability to meet tight deadlines in a fast-paced environment.
• Proficiency in Microsoft Office tools including Excel, PowerPoint, Word, and VBA.

Preferred Experience

• Retail or eCommerce industry experience.
• Background in SaaS, software development, or consulting environments.
• Experience supporting product development, marketing analytics, or financial reporting functions.
• Ability to translate technical findings into business language for non-technical audiences.

This is a full-time opportunity with a dynamic team focused on driving growth and insights through data.

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