Sr Data Analyst(Remote Or Hybrid)

Full-time - Mid Level

Remote - Minneapolis, MN

General Merchandise Retailers

About the position

As a Sr. Data Analyst on the Field Operations Steering team at Target, you will play a crucial role in shaping the supply chain strategy and performance through data-driven insights. This position involves analyzing large datasets, collaborating with cross-functional teams, and providing recommendations to enhance key Field Operations metrics. You will also mentor junior analysts and develop impactful visualizations to communicate findings effectively to business partners.

Responsibilities

• Contribute to Supply Chain problem solving with a focus on expense and efficiency.
• Collaborate with cross-functional teams across the GSCL to drive data-driven decisions and influence change.
• Analyze large datasets to identify trends, patterns, and insights in supply chain performance.
• Mentor and develop less experienced analysts on the team.
• Develop impactful visualizations and insights and communicate them to business partners in a clear, compelling manner.
• Build expertise in Data capabilities and integrate with business partners and other data teams to accelerate the product development lifecycle.

Requirements

• Bachelor's degree with 2-5 years of experience in supply chain management, data analytics, or a related field.
• Experience gathering and analyzing datasets with various coding languages (python, SQL, R), with an interest in further developing these skills.
• Experience with Target's database and reporting platforms such as Greenfield or BigRed.
• Ability to work under ambiguous direction with comfortability self-directing, self-motivating, and figuring out the optimal path forward.
• Experience with R and R Shiny Application development.

Benefits

• Comprehensive health benefits including medical, vision, dental, and life insurance.
• 401(k) plan.
• Employee discount program.
• Short-term and long-term disability insurance.
• Paid sick leave.
• Paid national holidays.
• Paid vacation.