Join Target as a Director of Data Analytics - Drive Business Insights & Innovation

At Target, our mission is to help all families discover the joy of everyday life. Our values and vibrant culture bring this vision to life.

About the Role

Joining our Marketing and Digital Analytics and Insights group means becoming part of a dynamic team that fosters faster, smarter, and scalable decision-making to excel in the modern retail market!

Here, you'll harness data, statistics, and visualization to generate actionable insights that offer value across all Target functions. Our reporting and analytics experts utilize market-leading tools and data automation to make a positive business impact. If you're a lead analyst skilled in autonomous teamwork, integrating the latest practices, coding for massive scale, and simplifying complex decisions through flexible, innovative solutions, you'll thrive on our Business Intelligence & Analytics (BIA) team!

Role Responsibilities

• Support business units with timely insights and data products, optimizing decisions across Product Management, UX, Technology, Marketing, and Merchandising.
• Collaborate with leadership in various functional areas (e.g., Product Management, UX, Technology, Digital Merchandising, Marketing) to shape and execute product roadmaps.
• Influence peers, technology partners, and business leaders to advance data foundations, analytics capabilities, and mathematical applications.
• Manage multiple resources and analytic projects simultaneously to ensure timely, quality, and impactful completion.
• Promote the use of analytics and data science across the organization.
• Democratize data insights, deliver self-service tools, and enable partners to make quicker, informed decisions.
• Present executive-level business cases that effectively communicate the team's contributions.
• Lead in experimental design and test & learn initiatives.
• Translate company strategy into analytic workstreams supporting the business.
• Enhance the team’s capabilities by identifying problems, developing solutions, and delivering results.
• Lead a team of BI professionals and statistical analysts, providing strategic project guidance, and fostering the development of Target's future leaders.
• Mentor team members focused on modeling, reporting, and analytics to deliver user-centric, high-quality results.
• Create an environment encouraging skill development and career growth for data and analytic professionals through added responsibility and value contributions.
• Offer thought leadership on how to measure business areas from data collection through application, ensuring accountability for results against goals and objectives.
• Effectively communicate and educate business leaders using data, insights, testing, and measurement plans.

Note: Core responsibilities may evolve based on business needs.

About You

• BS degree in Computer Science, Applied Mathematics, Physics, Statistics, Economics, or a related quantitative field.
• 8+ years of experience delivering analytics and developing BI solutions, including analysis, design, coding, testing, and report building across diverse domains.
• 2+ years of leadership, management, and team mentoring experience.
• Strong executive-level client-facing skills and the ability to communicate complex analytical concepts confidently to a non-technical executive audience.
• Comprehension of the Product model and ability to lead an Agile team.
• Experience with the Hadoop ecosystem and data visualization tools (DOMO, Tableau, PowerBI), and automation tools.
• 6+ years of experience with Web Data (Adobe Analytics, Google Analytics, or similar) and advanced SQL skills.
• Proficiency in designing and reporting A/B testing, MS-Excel, and PowerPoint.
• Solid understanding of data structures, designing algorithms, and mathematical concepts.
• Knowledge of programming languages such as Python, R, SQL, Java/Scala, etc.

Preferred Qualifications

• MS degree in Computer Science, Applied Mathematics, Physics, Statistics, Economics, or a related quantitative field.
• Strong analytical skills, including model development, hypothesis design and testing, and the ability to teach analytical concepts.
• Experience leading complex BI projects, involving various business stakeholders and BI professionals.
• Experience building data governance frameworks.
• Proven ability to learn new tools and technologies.
• Experience developing future leaders