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Merchandise Data Analyst Jobs in Minnesota (NOW HIRING)

Data Engineer

Minneapolis, MN · On-site +1

$75.75 - $83.33/hr

Remote Data Analyst -Finance Data Platform Purpose: Support data validation, data reconciliation ... merchandising, inventory, stores, sales, digital, product, or customer domains. * Experience ...

Category Analyst

Minneapolis, MN · On-site

$23.13 - $64.23/hr

Deliver merchandising and assortment planning recommendations through data analysis and guest insights. * Research category and industry trends to help set the future direction of a category

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... merchants, and internal teams to measure campaign performance and business impact. As a Developer ... You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and ...

Data Engineer

Minneapolis, MN · Hybrid

$50 - $55/hr

... merchants, and internal teams to measure campaign performance and business impact. As a Developer ... You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... merchants, and internal teams to measure campaign performance and business impact. As a Developer ... You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and ...

Work with Merchandising team to create new and repeat product forecasts for catalog and eCommerce ... Must possess critical thinking skills to analyze data, make decisions and develop action plans.

Work with Merchandising team to create new and repeat product forecasts for catalog and eCommerce ... Must possess critical thinking skills to analyze data, make decisions and develop action plans.

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Merchandise Data Analyst information

What is the difference between Merchandise Data Analyst vs Inventory Analyst?

AspectMerchandise Data AnalystInventory Analyst
Required CredentialsBachelor's in Business, Data Analytics, or related field; proficiency in data toolsBachelor's in Supply Chain, Logistics, or related; strong analytical skills
Work EnvironmentRetail or e-commerce companies; data-driven teamsWarehouses, distribution centers, retail stores
Employer & Industry UsageUsed in retail, fashion, and consumer goods industriesCommon in retail, manufacturing, and logistics sectors
Comparison Search IntentAnalyzing sales data, product performance, and trendsManaging stock levels, replenishment, and supply chain efficiency

The Merchandise Data Analyst focuses on analyzing sales and product data to optimize merchandising strategies, while the Inventory Analyst concentrates on managing stock levels and supply chain operations. Both roles require analytical skills and industry knowledge but serve different aspects of retail operations.

What does a merchandise data analyst do?

A Merchandise Data Analyst is responsible for collecting, analyzing, and interpreting data related to merchandise sales, inventory, and customer behavior. They use this information to identify trends, forecast demand, and make recommendations that optimize product assortments and inventory levels. Their insights help retailers improve sales performance, reduce stockouts and overstocks, and enhance customer satisfaction. Merchandise Data Analysts often work closely with buying, marketing, and supply chain teams to support strategic decision-making.

What are the key skills and qualifications needed to thrive as a merchandise data analyst?

To thrive as a Merchandise Data Analyst, you need strong analytical abilities, a solid understanding of retail operations, and proficiency in data analysis, typically supported by a degree in business, mathematics, or a related field. Expertise in tools such as Excel, SQL, Tableau, and experience with merchandising or inventory management systems is highly valuable. Attention to detail, problem-solving skills, and effective communication are critical soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate insights and recommendations that drive inventory optimization, sales growth, and strategic retail decisions.

How does a merchandise data analyst typically collaborate with merchandising and buying teams to influence product assortment decisions?

As a Merchandise Data Analyst, you will work closely with merchandising and buying teams by providing data-driven insights on sales trends, inventory levels, and customer preferences. Your analyses help inform decisions about which products to stock, discontinue, or promote, ensuring that assortments align with market demand and company goals. Regular meetings and cross-functional projects are common, where you'll present findings and recommendations, making your role highly collaborative and influential in shaping the product mix.
What job categories do people searching Merchandise Data Analyst jobs in Minnesota look for? The top searched job categories for Merchandise Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Merchandise Data Analyst jobs? Cities in Minnesota with the most Merchandise Data Analyst job openings:

Sr Data Analyst - Planning & Inventory Management

Target

Minneapolis, MN

$88K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,972 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers


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 instancesmay 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 tolife 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 maychange 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 candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.


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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US