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Sr Data Analyst(Remote Or Hybrid)

Remote, USA Full-time Posted 2025-05-22

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.
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  • Collaborate with cross-functional teams across the GSCL to drive data-driven decisions and influence change.
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  • Analyze large datasets to identify trends, patterns, and insights in supply chain performance.
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  • Mentor and develop less experienced analysts on the team.
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  • Develop impactful visualizations and insights and communicate them to business partners in a clear, compelling manner.
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  • 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.
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  • Experience gathering and analyzing datasets with various coding languages (python, SQL, R), with an interest in further developing these skills.
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  • Experience with Target's database and reporting platforms such as Greenfield or BigRed.
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  • Ability to work under ambiguous direction with comfortability self-directing, self-motivating, and figuring out the optimal path forward.
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  • Experience with R and R Shiny Application development.

Nice-to-haves

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

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