Data Analyst - Digital & E-commerce (experimentation, ML, Math/Stats)

Target offers a collaborative environment within the Digital Analytics and Insights group, focusing on experimentation, machine learning, and math and statistics to guide data-driven decisions across digital and e-commerce initiatives. This hybrid role is based in Minneapolis, MN, with a compensation range of USD 69,800 to 125,700 per year. The company provides a comprehensive benefits package, including medical, vision, and dental coverage, life insurance, a 401(k) plan, employee discounts, short- and long-term disability, paid sick leave, paid holidays, and paid vacation.

Responsibilities

• Leverage leading tools, data automation, and analytic methodologies to support reporting and performance measurement.
• Collaborate with cross-functional teams to analyze trends, optimize digital strategies, and deliver clear recommendations for growth.
• Apply hands-on experience in data extraction, transformation, and visualization to inform decision making.
• Work with large datasets, build scalable reports, and translate complex data into accessible insights for timely decisions.
• Combine independent work with teamwork to identify opportunities through data and contribute to the team’s success.

Requirements

• Four-year degree or equivalent experience.
• At least 1 year as a Data Analyst with strong quantitative coursework or solid equivalent experience.
• Intermediate SQL skills with the ability to write complex queries.
• Strong problem solving and analytical abilities, data curiosity, and experience with data mining, creation, and consolidation.
• Ability to support conclusions with clear narratives using descriptive statistics, basic inferential statistics, and data visualizations.
• Willingness to clarify business objectives and measurement needs, and to define and measure objectives and key results.
• Excellent communication skills with the ability to speak to both business and technical teams and translate ideas between them.
• Kno wledge of AB Testing methods, time series analysis, S&OP planning, and forecasting models including statistical analysis.
• Experience with analytics tools such as SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies.
• Ability to build detailed reports and dashboards, design and implement data visualizations, and prepare data models to identify trends and opportunities.
• Experience applying advanced analytics and AI-driven approaches, such as predictive modeling or machine learning, to support decision making.
• Collaborates with cross-functional teams to understand data needs and delivers solutions in partnership with digital technology and data engineering to ensure data integrity and accuracy.
• Ensures data accuracy, consistency, and security across reports and analyses.
• Builds and maintains positive partner relationships to understand data needs, provide insights, and ensure reporting solutions meet key objectives.

Technologies

• SQL
• Excel
• Hadoop
• Hive
• Spark
• Python
• R
• Domo
• Adobe Analytics
• Google Analytics

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

Benefits eligibility

https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA) accommodations

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to [email protected]. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.