B testing, ML)

Target•Minneapolis, MN

13d•$88,000 - $190,000•Hybrid

About The Position

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 Senior Digital 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.

Requirements

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
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

Nice To Haves

Math/Stats
A/B testing
ML

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.
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.