Data Analyst

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 https://corporate.target.com/careers/benefits.

About us: 

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.

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 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:  

• Four-year degree or equivalent experience

• 1+ year as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience Intermediate SQL experience writing complex queries

• Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation

• Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations

• Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results

• Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them

• Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models  including statistical analysis

• Experience in analytics tools such as: SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

• 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

• 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 rolewill need to beperformedboth onsite at the Target HQ MN location the role is assigned toandvirtually,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. Clickhereif you are curious to learn more about Minnesota.

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)

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.