The pay range is $69,800.00 - $125,700.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at .

At Target, we believe data is more than just numbers - it's the voice of our guests, our stores, and our business. The Marketing Analytics and Insights team turns data into meaning. And now, we're looking for a Data Analyst who is eager to explore data and develop skill in translating business results into compelling stories that drive action. 

  

This role is an exciting opportunity for a curious and collaborative analyst who is energized by connecting with stakeholders, simplifying complexity, and learning how to influence strategy with compelling information. While a foundational understanding of technical tools is expected, this role is well suited for someone eager to build expertise. 

  

You'll sit at the intersection of data and strategy, serving as a trusted advisor and insight translator across teams. Your analysis won't just inform; it will inspire decisions that drive the business forward. 

  

• Explore and interpret data to uncover the story behind how households shop - what happened, why it matters, and what comes next. 
• Conduct ad hoc and deep-dive analyses that identify new opportunities, answer strategic questions, and support decision-making. 
• Work closely with marketing and other cross-functional partners to set guest and household goals, explore data, and translate key findings into understandable insights. 
• Develop intuitive, action-oriented dashboards and visualizations that highlight key takeaways - not just numbers. 
• Grow business acumen by learning how consumer behavior shapes performance. 
• Build strong relationships to collaborate, learn, and contribute to a high-performing team. 

  

About you:   

• Four-year degree or equivalent experience 
• 1+ year as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience  
• Experience pulling and analyzing data, with a demonstrated focus on data curiosity, developing insight, and problem solving. 
• Strong communication and interpersonal skills - you're as comfortable in front of a dashboard as you are talking with the team. 
• Ability to distill complex data into a clear, persuasive story. 
• Deep curiosity about guest behavior, business trends, and how data connects the two. 
• Experience partnering with non-technical stakeholders to understand business problems and talk through data options. 
• Experience in analytics and visualization tools such as: Excel, PowerBI, BigQuery, Python, and/or equivalent technologies. 
• Familiar with SQL with the ability to write queries to extract and manipulate data from large databases. Experience with Python or R for basic data wrangling and exploratory analysis is a plus. 

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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