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Target Resume Now

About the Role

The Data & Analytics team at Target creates tools and data products to enable business partners to make data-based decisions. This role supports reporting and performance measurement using market-leading tools and analytical methodologies, collaborating with cross-functional teams to analyze trends and optimize digital strategies.

Responsibilities

• Leverage data, statistics, and visualization to generate actionable insights that drive value across multiple business functions.
• Utilize market-leading tools, data automation, and analytical methodologies to support reporting and performance measurement.
• Collaborate with cross-functional teams to analyze trends, optimize digital strategies, and provide clear recommendations for business growth.
• Simplify complex data to enable efficient decision-making.
• Build detailed reports and dashboards using various tools.
• Design and implement 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.
• Leverage advanced analytics and AI-driven approaches to enhance decision-making.
• Work 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.
• Ensure the accuracy, consistency, and security of data across all reports and analysis.
• Cultivate and maintain positive partners relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives.

Requirements

• 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.

Skills

• SQL
• Excel
• Hadoop
• Hive
• Spark
• Python
• R
• Domo
• Adobe Analytics
• Google Analytics
• AB Testing methods
• Time series analysis
• S&OP planning
• Forecasting models
• Statistical analysis
• Advanced analytics
• AI-driven approaches
• Predictive modeling
• Machine learning
• AI-enabled tools

Location

• Target HQ MN

Work Type

• Hybrid/Flex for Your Day

Experience Level

• 1+ year as a Data Analyst

Education Level

• Four-year degree or equivalent experience

Salary/Compensations

• $69,800.00 - $125,700.00

Benefits

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

About the Company

• Working at Target means helping all families discover the joy of everyday life.
• Target is one of the world’s most recognized brands and one of America’s leading retailers.
• Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support.
• Since 1946, we have given 5 percent of our profits back to our communities.

Equal Opportunity

• 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.