Sr Data Analyst, Ecommerce & Product Analytics (Experimentation, Math/Stats, A/B testing, ML)

Target • Minneapolis, MN

11d • Hybrid

About The Position

The Senior Data Analyst will use data, statistics, and visualization to generate actionable insights that drive value across business functions. The role supports reporting and performance measurement using data automation, analytical methodologies, and market-leading tools. It collaborates with cross-functional teams to analyze trends, optimize digital strategies, and provide recommendations for business growth. The analyst will work with large datasets, develop scalable reports, and simplify complex data to support efficient decision-making.

The position is part of Target’s Digital Analytics and Insights group, which enables data-driven decisions to enhance business performance in retail. The role works with business partners, digital technology, and data engineering teams to understand needs, identify opportunities, and deliver accurate, secure reporting and analysis. It is a hybrid/flex position requiring work both onsite at Target HQ in Minnesota and virtually, depending on the work and team needs. Work must be performed within the country of the primary work location unless otherwise prescribed by Target.

Requirements

• A four-year degree or equivalent experience.
• At least 3 years of industry experience as a Data Analyst with strong performance in a quantitative field, or equivalent experience.
• Advanced SQL experience writing complex queries.
• Accomplished in Python or R.
• Demonstrated experience with analytics tools such as SQL, Hadoop, Hive, Spark, Power BI, Adobe Analytics, Google Analytics, or equivalent technologies.
• Knowledge of A/B testing methods and time-series forecasting models, including statistical analysis.
• Experience using advanced analytics and AI-driven approaches, such as predictive modeling, machine learning, or AI-enabled tools, to improve decision-making.
• Strong problem-solving and analytical skills, data curiosity, data mining, and data creation and consolidation skills.
• Excellent communication skills, including the ability to communicate with business and technical teams and translate ideas between them.

Responsibilities

• Use data, statistics, and visualization to generate actionable insights across business functions.
• Support reporting and performance measurement using data automation and analytical methodologies.
• Collaborate with cross-functional teams to analyze trends, optimize digital strategies, and recommend opportunities for business growth.
• Build detailed reports and dashboards and create visualizations that clearly communicate complex data.
• Prepare data models and analyze complex datasets to identify and interpret trends, patterns, value, and new opportunities.
• Partner with digital technology and data engineering teams to understand data needs and deliver solutions while ensuring data integrity and accuracy.
• Ensure the accuracy, consistency, and security of data across reports and analysis.
• Maintain positive partner relationships, understand data needs, provide insights, identify improvement opportunities, and ensure reporting solutions address key objectives.

Benefits

• Eligible team members and dependents may receive comprehensive medical, vision, dental, and life insurance benefits.
• 401(k).
• Employee discount.
• Short-term disability and long-term disability.
• Paid sick leave.
• Paid national holidays.
• Paid vacation.
• Financial, education, and well-being benefits and programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior