Job description

Join a dynamic, data-driven environment where innovation meets impact. Be part of a high-performing team leveraging analytics to shape digital commerce strategies — all from a modern office with cutting-edge technology and collaborative spaces. Primary Services is actively recruiting for a Data Analyst – Ecommerce on behalf of a large, fast-paced enterprise leader in the digital retail space. This role is ideal for an experienced analyst ready to step into a technically sophisticated environment, working with enterprise-level datasets, tools, and cross-functional teams. The ideal candidate will bring a strong analytical foundation, experience in e-commerce data, and a deep understanding of performance metrics to help drive business insights and decision-making. Responsibilities • Coordinate with Ecommerce stakeholders to gather data requirements for ETL development. • Extract, transform, and load (ETL) data from diverse sources including DB2, Netezza, APIs, and Excel. • Develop and automate dashboards using MicroStrategy connected to data warehouse sources. • Build and maintain a fit-for-purpose data warehouse model for Ecommerce analytics. • Automate recurring ETL jobs and KPI reporting using Python, R, and scheduling tools. • Create structured datasets for ad hoc reports and performance monitoring. • Deliver tailored analyses and presentations to business leaders and stakeholders. • Use statistical and machine learning models to identify trends, patterns, and predictions. • Employ Google BigQuery ML to assess and forecast customer behavior. • Define and document data workflows and business processes. • Troubleshoot data issues in collaboration with Analytics, Marketing, and Product teams. • Serve as a subject matter expert on Ecommerce data and tools. • Provide mentorship and guidance to junior analysts on analytical methods and best practices. Qualifications • Bachelor’s degree in a quantitative field (Engineering, Computer Science, MIS, etc.) or equivalent work experience. • 3–5 years of experience in business intelligence, analytics, or data engineering. • 4+ years of experience programming in Python, R, and SQL. • Experience working with enterprise-level databases (Teradata, DB2) or cloud platforms (GCP, AWS, Azure). • 3+ years of experience with data visualization tools such as Tableau, Power BI, MicroStrategy, or Looker. • 3+ years of experience with advanced analytics techniques (regression models, cluster analysis, etc.). • Proficiency in statistical frameworks and applied data science methodologies. • Experience in retail analytics and omnichannel strategies is a plus. • Strong Excel, Word, PowerPoint, and VBA proficiency. Want to be notified of similar positions? Visit www.primaryservices.com/signup/ to sign up and have notifications delivered straight to your inbox!

Requirements