Lead Data Analyst- Merchandising Analytics Essentials and Beauty

Target • Minneapolis, MN

1d • $115,000 - $206,000 • Hybrid

About The Position

Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers. Behind one of the world’s best loved brands is a uniquely capable and brilliant team of data analysts. The Target Merchant 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 are experts in data sourcing, data visualizations, and providing action oriented insights used by clients throughout the enterprise. We also 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 Lead Data Analyst role with our Merchandising Analytics team means you will connect teams with trusted data and high-quality insights deliver world-class product solutions in partnership with our product teams driving prioritized metrics and efficient insights embrace a continuous-learning mindset As a part of the Merchandising Analytics team, our analysts work closely with business owners as well as technology and data product teams staffed with product owners and engineers. They support all Merchandising strategic initiatives with data, reporting and analysis. Merchandising teams rely on this team of analysts to bring data to support decision making.

Requirements

• Four-year degree or equivalent experience
• 6+ year as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience
• Advanced SQL experience writing complex queries
• Accomplished with Python or R
• 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

Responsibilities

• Exploring data, technologies, and the application of mathematical techniques to derive business insights.
• Determining the best approach to gather, model, manipulate, analyze and present data.
• Active participation in ceremonies and team meetings.
• Determine business, product/application and analytics priorities supporting pricing decisions.
• Ad hoc analysis, dashboard creation, and providing insights that drive decisions.
• Drive everyday pricing competitiveness, determine item elasticity, price band balance by category, and pricing parity for both online and in store assortments.
• Continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education.
• New data and metric development.
• Roll up guest level insights.

Benefits

• comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more
• 401(k)
• employee discount
• short term disability
• long term disability
• paid sick leave
• paid national holidays
• paid vacation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees