
Sr Data Analyst - Digital and Ecommerce (Statistics/Math, A/B testing, Power BI)
Target · Minneapolis, MN
- On site
- Full-time
- $123,000 / year
- Minneapolis, MN
Job highlights
- Analyze digital and e-commerce data for business insights.
- Leverage SQL, Python, R, and Power BI tools.
- Collaborate with teams to optimize digital strategies.
- Develop reports, dashboards, and data visualizations.
- Drive data-driven decisions for business growth.
About the role
About Target
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.Data & Analytics—Business Insights & Analytics
Behind one of the world’s best loved brands is a uniquely capable and brilliant team of applied data scientists, engineers and data analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience - from product recommendations to relevant ad content. We’re also the source of the data and analytics behind Target’s Search applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com.About the Role: Senior Data Analyst - Digital and Ecommerce
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 Digital 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!
Job duties may change at any time due to business needs.
About You
- Four-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 and 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
- Builds detailed reports and dashboards using various tools, designs and implements 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.
- Works 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
- Ensures the accuracy, consistency, and security of data across all reports and 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
- Cultivates and maintains positive partners relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives
Key skills/competency
- Data Analysis
- Digital Analytics
- E-commerce Analytics
- A/B Testing
- Power BI
- SQL
- Python
- R
- Statistical Analysis
- Data Visualization
Skills & topics
- Data Analyst
- Digital Analytics
- Ecommerce Analytics
- SQL
- Power BI
- A/B Testing
- Python
- R
- Statistical Analysis
- Data Visualization
- Business Insights
- Target Careers
How to get hired
- Tailor your resume: Highlight your experience in data analysis, SQL, Python/R, Power BI, and A/B testing relevant to digital and e-commerce.
- Showcase your skills: Quantify your achievements in data extraction, transformation, and visualization to demonstrate impact.
- Prepare for technical interviews: Be ready to demonstrate advanced SQL query writing and discuss statistical analysis concepts.
- Understand Target's culture: Research Target's values and how data analytics drives their business success.
- Express your data curiosity: Emphasize your problem-solving skills and ability to translate complex data into actionable insights.
Technical preparation
Practice advanced SQL query writing.,Build dashboards in Power BI.,Solve A/B testing scenarios.,Code in Python or R.
Behavioral questions
Describe a complex data problem solved.,How do you translate data for non-technical audiences?,Share an example of driving business growth with data.,How do you manage cross-functional collaboration?
Frequently asked questions
- What is the typical salary range for a Sr Data Analyst at Target?
- The typical salary range for a Sr Data Analyst at Target is between $88,000.00 and $158,000.00 annually, depending on factors like labor market, education, experience, and certifications.
- What are the key technical skills required for the Sr Data Analyst role at Target?
- Key technical skills include advanced SQL, proficiency in Python or R, experience with analytics tools like Power BI, Adobe Analytics (or Google Analytics), Hadoop, Hive, and Spark. Knowledge of A/B testing methods and statistical analysis is also crucial.
- Can you explain the 'Hybrid/Flex for Your Day' work arrangement for this role?
- This arrangement means you will work both onsite at Target HQ in MN and virtually. The balance depends on your role, team, and daily tasks, offering flexibility while ensuring core responsibilities are met.
- What benefits does Target offer to eligible team members?
- Target offers comprehensive benefits including health, vision, dental, and life insurance, a 401(k) plan, employee discounts, and paid time off for sick leave, national holidays, and vacation. More details can be found at https://corporate.target.com/careers/benefits.
- How can I request a reasonable accommodation during the application process for the Sr Data Analyst position?
- If you need a reasonable accommodation to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. This email is for accommodation requests only.
- What is the application deadline for the Sr Data Analyst - Digital and Ecommerce job?
- The application deadline for this role is May 7, 2026.
- What kind of data analysis is involved in this Sr Data Analyst role at Target?
- This role involves analyzing digital and e-commerce data to generate actionable insights, optimize digital strategies, and support reporting and performance measurement. You'll be involved in A/B testing and forecasting.
- Is this Sr Data Analyst position remote or onsite?
- This position has a Hybrid/Flex for Your Day work arrangement, meaning it requires a combination of onsite work at Target HQ in MN and virtual work.
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