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

Target’s Digital Analytics & Insights team is seeking a Senior Data Analyst to guide data-driven decisions across its digital ecommerce landscape. Based in Minneapolis with a hybrid work setup, you will blend statistical rigor, A/B testing, and AI-enabled analytics to optimize online performance and propel growth. The role offers a salary range of USD 88,000 to 190,000 per year and requires a bachelor’s degree with at least three years of experience in a quantitative field.

Responsibilities

• Apply cutting-edge analytics platforms, automated data workflows, and formal methodologies to support reporting and performance measurement.
• Partner with product, engineering, and other cross-functional teams to identify trends, refine digital strategies, and present actionable recommendations for growth.
• Turn data, statistical techniques, and visualization into actionable insights that drive value across multiple business functions.
• Develop detailed reports and dashboards across diverse tools, and design visualizations that clearly communicate complex data.
• Prepare data models and analyses to identify patterns and opportunities within large, complex datasets.
• Hands-on data extraction, transformation, and visualization; manage large datasets, build scalable reports, and simplify data to support swift decision-making.
• Collaborate with digital technology and data engineering teams to understand data needs and deliver solutions that ensure data integrity and accuracy.
• Maintain data accuracy, consistency, and security across all reports and analyses.
• Apply advanced analytics and AI-driven approaches, including predictive modeling and machine learning, to improve decision-making.
• Foster positive partner relationships to understand data needs, provide insights, and ensure reporting solutions align with key objectives.

Requirements

• Bachelor’s degree or equivalent experience.
• Minimum three years of data analytics experience in a business setting with a strong quantitative background.
• Proficiency in SQL with the ability to write complex queries, and experience with Python or R.
• Hands-on experience with analytics and data tools such as SQL, Hadoop, Hive, Spark, Power BI, and Adobe Analytics or Google Analytics, among similar technologies.
• Familiarity with A/B testing methods and time-series forecasting, including statistical analysis.
• Ability to create detailed reports and dashboards, and to design visualizations that clearly communicate data trends and opportunities.
• Experience applying predictive modeling, machine learning, or AI-enabled tools to inform decisions.
• Strong collaboration with cross-functional teams to understand data needs and deliver solutions that ensure data integrity and accuracy.
• Excellent communication skills, capable of translating technical concepts to business audiences and vice versa.
• Commitment to cultivating positive partner relationships and delivering reporting that addresses key objectives.

Technologies

• SQL
• Hadoop
• Hive
• Spark
• Power BI
• Adobe Analytics
• Google Analytics
• Python
• R

Benefits

• Comprehensive health benefits (medical, vision, dental, life insurance)
• 401(k) plan
• Employee discount
• Short term disability
• Long term disability
• Paid sick leave
• Paid national holidays
• Paid vacation

Benefits eligibility

Please paste this URL into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

Target complies with state and federal laws to provide reasonable accommodations for applicants with disabilities. If you require a reasonable accommodation to participate in the job application or interview process, please contact [email protected]. Non-accommodation-related inquiries, such as application follow-ups or technical issues, should not be directed to this email.