Sr Data Analyst - Planning & Inventory Management

Target; Minneapolis (MN); Hybrid; USD 88,000 - 158,000; Full time

Benefits offered by this job

Health benefits

401(k)

Paid time off

Job summary

Target is seeking a Sr Data Analyst in Minnesota to transform data into actionable insights and support inventory and forecasting decisions. You will collaborate with planning, inventory, merchandising, and technology teams to deliver AI-driven analytics and improve availability and profitability.

The role emphasizes advanced analytics, data storytelling, and scalable data pipelines using platforms like BigQuery and Spark. Hybrid work arrangement applies, with on-site MN location as needed.

Qualifications

• BA/BS or equivalent in quantitative field with analytical focus.
• 3+ years of data analysis experience or masters-level education in data analytics.
• Strong SQL skills and DW/BI concepts required.
• Experience with BI tools: Power BI, Looker, Tableau.
• Knowledge of structured/unstructured data and big data platforms.
• Proficiency in Python or R and open-source tools.

Responsibilities

• Translate business problems into analytical questions and models.
• Develop AI-driven analytic solutions for forecasting and optimization.
• Partner with business stakeholders to define requirements and present insights.
• Build reliable data pipelines and ensure data quality and governance.
• Communicate findings with non-technical audiences and document methodologies.
• Support enterprise decision-making with robust analytics delivery.

Skills

SQL

Power BI

Looker/Tableau

Python

R

GenAI

LLM workflows

Data storytelling

Stakeholder communication

Education

BA/BS or equivalent (Math, Statistics, Econometrics, Data Sciences, CS)

Tools

BigQuery

Spark

Airflow

Teradata

HDFS

Job description

The pay range 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. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include 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.

About Us

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

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.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

Key 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

About You

• 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
• 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.

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. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans With Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to [e-mail]. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.