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

Target • Minneapolis, MN

13d • $88,000 - $158,000 • Hybrid

About The Position

The Senior Data Analyst will work within Target’s Digital Analytics and Insights group, using data, statistics, and visualization to generate actionable insights that improve business performance across multiple functions. The role supports reporting and performance measurement through market-leading tools, data automation, and analytical methodologies. It includes analyzing trends, optimizing digital strategies, and making clear recommendations for business growth.

The analyst will work with large datasets, build scalable reports and dashboards, and make complex data easier to understand for efficient decision-making. The role involves partnering with cross-functional business, digital technology, and data engineering teams to understand data needs and opportunities, deliver solutions, and maintain data integrity, accuracy, consistency, and security. The position follows a Hybrid/Flex for Your Day arrangement, with work performed both onsite at Target HQ in Minnesota and virtually according to role, team, and task needs. Work may not be performed outside 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.
• Proficiency 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, time-series forecasting models, and statistical analysis.
• Experience with advanced analytics and AI-driven approaches, such as predictive modeling, machine learning, or AI-enabled tools.
• Strong problem-solving and analytical skills, data curiosity, and experience with data mining, data creation, and consolidation.
• 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 that drive value across business functions.
• Support reporting and performance measurement using analytical methodologies, data automation, and analytics tools.
• Analyze trends and optimize digital strategies, providing clear recommendations for business growth.
• Extract, transform, and visualize data; work with large datasets and build scalable reports.
• Build detailed reports and dashboards and design visualizations that clearly communicate complex data.
• Prepare data models and analyze complex datasets to identify and interpret trends, patterns, value, and new opportunities.
• Work with cross-functional teams to understand data needs and value opportunities and deliver solutions with digital technology and data engineering teams.
• Ensure the accuracy, consistency, and security of data across reports and analyses.
• Build and maintain positive partner relationships, understand reporting needs, provide insights, and identify improvement opportunities.

Benefits

• Eligible team members and dependents may receive comprehensive health benefits, which may include medical, vision, dental, and life insurance.
• 401(k)
• Employee discount
• Short-term disability
• Long-term disability
• Paid sick leave
• Paid national holidays
• Paid vacation

What This Job Offers

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