Sr Data Analyst

Target•Minneapolis, MN

22h•$88,000 - $158,000•Hybrid

About The Position

This Senior Data Analyst role within the Food Supply Chain Data & Analytics team is focused on accelerating next-generation data capabilities to unlock scalable, profitable growth across Target’s food supply chain initiatives. 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. You will architect and deploy end-to-end analytical approaches—spanning data acquisition, modeling, validation, and interpretation—leveraging modern methodologies and tools. Insights will be synthesized into compelling narratives and delivered to senior stakeholders to inform strategic decision-making. The role also involves designing intuitive, high-performance dashboards and reporting ecosystems grounded in best-in-class data visualization principles, enabling real-time, actionable intelligence. Additionally, you will 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. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

Requirements

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
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

Responsibilities

Extracting business insights from data
Solving problem statements
Conducting gap analysis
Recommending focus areas for leadership
Leveraging inventory positioning to achieve the best possible product availability
Establishing and developing great relationships with vendors to encourage on-time delivery
Architecting and deploying end-to-end analytical approaches—spanning data acquisition, modeling, validation, and interpretation—leveraging modern methodologies and tools
Synthesizing insights into compelling narratives and delivering them to senior stakeholders to inform strategic decision-making
Designing intuitive, high-performance dashboards and reporting ecosystems grounded in best-in-class data visualization principles, enabling real-time, actionable intelligence
Establishing robust documentation standards for analytical frameworks
Continuously evolving your toolkit by staying at the forefront of emerging trends in data science, machine learning, and visualization technologies