Sr Data Analyst

Target Target · Retail · Minneapolis, MN

Senior Data Analyst role within the Food Supply Chain Data & Analytics team focused on accelerating next-generation data capabilities to unlock scalable, profitable growth. The position 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 include architecting and deploying end-to-end analytical approaches, synthesizing insights into compelling narratives for senior stakeholders, and designing high-performance dashboards and reporting ecosystems.

What you'd actually do

  1. architect and deploy end-to-end analytical approaches—spanning data acquisition, modeling, validation, and interpretation—leveraging modern methodologies and tools.
  2. Insights will be synthesized into compelling narratives and delivered to senior stakeholders to inform strategic decision-making.
  3. designing intuitive, high-performance dashboards and reporting ecosystems grounded in best-in-class data visualization principles, enabling real-time, actionable intelligence.
  4. 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.

Skills

Required

  • 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
  • Intermediately accomplished 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

Nice to have

  • Four-year degree or equivalent experience
  • 3+ years as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience