Jobs · Information Technology · Minnesota

Sr Data Analyst

Target · Minneapolis, MN · 1 mo ago
Information Technology$88k–$158k/yrFull-time

About the role

The Senior Data Analyst within the Food Supply Chain Data & Analytics team focuses on accelerating next-generation data capabilities to unlock scalable, profitable growth across Target’s food supply chain initiatives. This role operates at the intersection of business strategy and advanced analytics, partnering cross-functionally to frame high-impact problems and translate them into data-driven solutions.

Responsibilities

  • Architect and deploy end-to-end analytical approaches—spanning data acquisition, modeling, validation, and interpretation—leveraging modern methodologies and tools.
  • Synthesize insights into compelling narratives and deliver them to senior stakeholders to inform strategic decision-making.
  • Design intuitive, high-performance dashboards and reporting ecosystems grounded in best-in-class data visualization principles, enabling real-time, actionable intelligence.
  • Establish robust documentation standards for analytical frameworks and continuously evolve your toolkit by staying at the forefront of emerging trends in data science, machine learning, and visualization technologies.

Requirements

  • A four-year degree or equivalent experience
  • 3+ years as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience
  • Advanced SQL experience writing complex queries
  • Strong experience navigating and integrating data across large-scale warehouse environments (e.g., BigRed3, GCP/BigQuery), with an understanding of data architecture, performance tuning, and scalability
  • Intermediate proficiency with Python or R
  • Knowledge of forecasting models including statistical analysis
  • Advanced data visualization skills; building interactive, executive-ready dashboards in tools like Power BI, Looker, Tableau, etc.
  • 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
  • Experience in analytics tools such as: SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

Qualifications

  • Four-year degree or equivalent experience
  • 3+ years as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience
  • Advanced SQL experience writing complex queries
  • Strong experience navigating and integrating data across large-scale warehouse environments (e.g., BigRed3, GCP/BigQuery), with an understanding of data architecture, performance tuning, and scalability
  • Intermediate proficiency with Python or R
  • Knowledge of forecasting models including statistical analysis
  • Advanced data visualization skills; building interactive, executive-ready dashboards in tools like Power BI, Looker, Tableau, etc.
  • 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
  • Experience in analytics tools such as: SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

Skills

  • SQL
  • Python/R
  • Data Visualization (Power BI, Looker, Tableau)
  • Forecasting Models
  • Data Modeling
  • Statistical Analysis
  • Business Strategy
  • Collaboration
  • Communication

Benefits

Target offers comprehensive health benefits and programs, including 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.

Pay

The pay range for this role is $88,000.00 - $158,000.00. 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.

Schedule

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

Benefits Eligibility

Please visit https://tgt.biz/BenefitsForYou_DAmericans to learn about benefits eligibility for this role.

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