Data Analyst - Digital & E-commerce (experimentation, ML, Math/Stats)

Summary

Target is a well-known brand dedicated to helping families discover the joy of everyday life. As a Data Analyst in the Digital Analytics and Insights group, you will leverage data and analytical methodologies to drive data-driven decision-making and enhance business performance in the retail landscape.

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
• 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
• Work closely with cross functional teams to understand data needs, value opportunities and deliver 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 partner relationships to understand their data needs, provide insights and find improvement opportunities, and ensure reporting solutions address key objectives

Skills

• 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

Qualifications

Must Haves

• 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

Benefits

• 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.
• 401(k)
• Employee discount
• Short term disability
• Long term disability
• Paid sick leave
• Paid national holidays
• Paid vacation