Sr Data Analyst - Planning & Inventory Management

Target • Minneapolis, MN

4d • Hybrid

About The Position

As a Sr Data Analyst for Target’s Planning & Inventory Management, Data Analytics team you’ll leverage data, analytics, and insights to support critical business capabilities including Assortment & Inventory Planning, Forecast Management, In-Season Management, Key Event Management, and Strategy & Enablement. This role partners across planning, inventory, merchandising, and technology teams to transform data into actionable insights and provides recommendations that improve inventory availability, enhance forecasting accuracy, optimize inventory investments, and support profitable growth. Through advanced analytics, reporting, and performance measurement, you will help deliver a joyful Guest experience while enabling efficient inventory management and enterprise decision-making.

Requirements

• BA/BS or equivalent experience (Math, Statistics, Econometrics, Data Sciences, Computer Science, etc.) or equivalent work experience
• 3+ years of work experience in data analysis or masters level education in business analytics, data science, etc.
• Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts
• Proven hands-on experience in BI Visualization tool (i.e. Power BI, Looker, Tableau) with ability to learn additional vendor and proprietary visualizations tools
• Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS).
• Exposure and extensive hands-on work with large data sets
• Experience in R, Python, Hive or other open-source languages/database
• Experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above
• Git source code management & experience working in an agile environment
• Strong attention to detail, excellent diagnostic, and problem-solving skills
• Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines
• Competent and curious to ask questions and learn to fill gaps, desire to teach and learn
• Excellent communication, service orientation and strong relationship building skills

Nice To Haves

• Experience in Retail, Merchandising, Marketing preferred
• Experience leveraging Generative AI (GenAI) and LLM-based solutions (e.g., prompt engineering, Retrieval-Augmented Generation – RAG) to enhance data analysis, automate insight generation, and support business decision-making
• Ability to integrate AI-driven tools and AI-agent workflows into end-to-end analytical processes, enabling automation, improving productivity, and scaling analytics use cases.

Responsibilities

• Translate business problems into well-defined analytical questions and structured approaches
• Support scenario, decision, and action modelling to evaluate business trade-offs and inform recommended actions
• Partner with Target business stakeholders to understand priorities and roadmaps, validate analytical requirements, and present insights and recommendations with clarity and impact
• Develop and deliver analytical and AI-driven solutions (including GenAI, Agent, and Agentic approaches) that enable decision support, forecasting, optimization, and automation
• Apply advanced analytics techniques, including causal, predictive, and prescriptive analytics, to drive deeper understanding of business levers and inform optimal actions
• Work with large-scale datasets using platforms such as GCP BigQuery, Spark, and SQL-based data warehouses; build and maintain reliable data pipelines using Airflow or similar orchestration tools
• Contribute to AI-driven analytical workflows, defining quality metrics (e.g., accuracy, relevance), assessing reliability, and measuring tangible business impact
• Ensure analytical outputs are accurate, scalable, and aligned with business context
• Develop strong data storytelling skills to communicate insights and recommendations to non-technical audiences
• Document analytical methodologies, assumptions, and outputs to support reuse and knowledge sharing
• Adhere to corporate data protection standards and responsible AI practices

Benefits

• medical
• vision
• dental
• life insurance
• 401(k)
• employee discount
• short term disability
• long term disability
• paid sick leave
• paid national holidays
• paid vacation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree