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.
About you
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 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.
Experience leveraging advanced analytics and AI-driven approaches (e.g., predictive modeling, machine learning, or AI-enabled tools) to enhance decision-making
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
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
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Americans with Disabilities Act (ADA)
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 candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
