Sr Data Analyst - Digital and Ecommerce (Experimentation, Math/Stats, A/B testing, ML)

Target • Minneapolis, MN

2d • $88,000 - $158,000 • Hybrid

About The Position

A role with our Digital Analytics and Insights group means being part of a team that enables data-driven decision-making to enhance business performance in the modern retail landscape. As a Senior Data Analyst, you will leverage data, statistics, and visualization to generate actionable insights that drive value across multiple business functions. In this role, you will utilize market-leading tools, data automation, and analytical methodologies to support reporting and performance measurement. You will collaborate with cross-functional teams to analyze trends, optimize digital strategies, and provide clear recommendations for business growth. We are looking for an analytical thinker with hands-on experience in data extraction, transformation, and visualization. The ideal candidate should be comfortable working with large datasets, building scalable reports, and simplifying complex data to enable efficient decision-making. If you are passionate about analytics, can work independently as well as in a team, and have a keen eye for identifying opportunities through data, you will thrive in our team! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

Requirements

• 4-year degree or equivalent experience
• 3+ years of experience as a Data Analyst in industry with strong performance in a quantitative field or equivalent experience
• Advanced SQL experience writing complex queries
• Accomplished in Python or R
• Demonstrated experience in analytics tools such as: SQL, Hadoop, Hive, Spark, Power BI, Adobe Analytics (or Google Analytics) and/or equivalent technologies
• Knowledge of A/B Testing methods and time series forecasting models including statistical analysis
• Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation
• Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them

Nice To Haves

• Math/Stats background
• ML experience

Responsibilities

• Leverage data, statistics, and visualization to generate actionable insights that drive value across multiple business functions.
• Utilize market-leading tools, data automation, and analytical methodologies to support reporting and performance measurement.
• Collaborate with cross-functional teams to analyze trends, optimize digital strategies, and provide clear recommendations for business growth.
• Build detailed reports and dashboards using various tools.
• Design and implement data visualizations to communicate complex data clearly.
• Prepare data models and analysis to identify, analyze and interpret trends or patterns in complex data sets for values and new opportunities.
• Leverage advanced analytics and AI-driven approaches (e.g., predictive modeling, machine learning, or AI-enabled tools) to enhance decision-making.
• Work closely with cross functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy.
• Ensure the accuracy, consistency, and security of data across all reports and analysis.
• Cultivate and maintain positive partners relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives.

Benefits

• Comprehensive health benefits and programs (medical, vision, dental, 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
• Education Level: Associate degree