Lead Data Analyst - Data & Insights

The pay range is $115,000.00 - $206,000.00

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. 

Target’s distinctive brand love is infused throughout its many physical locations by the Properties teams. We have a direct and positive impact on the real estate, design, construction and maintenance of our stores, distribution centers and headquarters. Are you ready to help strategically grow Target’s brand through leading-edge design, development, construction and preservation? Can you effectively balance the efficiencies of a large-design build company with the unique challenges and innovative solutions required by individual sites? Then take your place on one of our Properties teams, and help us make the most of Target’s physical assets, both in the U.S. and overseas.

The Data & Insights team’s mission is to harness the power of data to inform critical decisions that enable reliable and on brand guest experience at every Target location.

The Data & Insights team

• Integrates into the business as strategic analytics partners and anticipates and uncovers stated or unstated needs.
• Listens and empowers team member and external stakeholder voice
• Uses our analytics expertise to test, measure, analyze, understand and answer various business questions
• Provide reporting to help inform on the current state of the business and help facilitate process at scale
• Connects our understanding across Properties to deliver data driven products and solutions
• Provide meaningful insights and recommendations
• Cultivate robust collaborations with technology and data engineering teams to facilitate the implementation of optimal data management practices

About the role:
As a Lead Data Analyst you will be responsible for supporting our efforts to help Target make better data driven decisions through analytics and insight. In this position, you'll craft analytical solutions, pinpoint and merge pertinent insights related to business challenges, and collaborate with the team and stakeholders to influence decision-making. You will accomplish this through a wide variety of skills: data wrangling, visualization, descriptive and inferential statistics, and exploratory analysis. The team operates in a product model, you will work with a global group of analysts.

• In partnership with your leader and Stakeholders, design and deliver analytical solutions to a business problem

• Leverage a variety of analytical techniques, drive meaningful insights to inform decisions

• Conduct analysis to inform the landscape and trade-off of business decisions

• Effectively communicate and apply analysis findings to business insights

• Serve as a thought leader and mentor on business domain and analytical techniques to elevate team performance

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
• 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, da