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Merchandise Data Analyst Jobs in Minnesota (NOW HIRING)

Data Engineer

Minneapolis, MN ยท 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 ...

Merchandise Planner

Duluth, MN ยท On-site

$70K - $85K/yr

Position Overview: The Merchandise Planner is responsible for driving the financial planning ... Prepare and present season/class plans through: research and analysis of data, appropriate ...

Merchandise Planner

Duluth, MN ยท Hybrid

$70K - $85K/yr

Position Overview: The Merchandise Planner is responsible for driving the financial planning ... Prepare and present season/class plans through: research and analysis of data, appropriate ...

Category Analyst

Minneapolis, MN ยท 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 ยท 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 ยท 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 ยท 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 ...

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, and why are they important?

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:
Data Engineer

Data Engineer

Lancesoft

Minneapolis, MN โ€ข On-site, Remote

$75.75 - $83.33/hr

Temporary

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Job description


Shift: 1st Shift, Monday-Friday, standard working hours
Duration: 12 Months
Pay range: $75.75/hr. - $83.33/hr.
Remote

Job Description
Data Analyst -Finance Data Platform
Purpose: Support data validation, data reconciliation, and reports development for the Finance mainframe application modernization and data platform migration to modern GCP-based data platform.
Outcome: Identify data variance between legacy and modern platforms for modern Finance applications and 2 quarter parallel operation. Collaborate with product and business teams to identify root causes for the variances and resolve/document the variance to assist on Go-Live decision.
Core Skill: Hhands-on SQL experience with big data platforms/databases like Google BigQuery, Hadoop or similar data platform. Senior experience with ETL and data pipeline tools such as Dataproc, Airflow, Dataform, dbt, or similar tools. Experience with Python/Pyspark coding for data movement and analysis.
Required Skillset:
  • Senior level (5+ years) hands-on SQL experience with big data platforms/databases like Google BigQuery, Hadoop or similar data platform.
  • Senior experience with ETL and data pipeline tools such as Dataproc, Airflow, Dataform, dbt, or similar tools.
  • Good experience with Python/Pyspark coding for data movement and analysis.
  • Experience with data visualization and reporting tools such as Power BI, Looker, and LookML for dashboard development, KPI reconciliation, semantic layer validation, and data analysis.
  • Strong experience in data analysis, data validation, source-to-target reconciliation, duplicate detection, reject/error validation, audit/control total validation, and business rule validation.
  • Ability to analyze mapping documents, reporting requirements, transformation logic, data lineage, and data quality rules.
  • Experience creating reconciliation reports, validation summaries, exception reports, defect logs, and business sign-off documentation.
  • Strong communication and collaboration skills with the ability to work closely with engineering, product, finance, business, and legacy system teams.
Preferred Skillset:
  • Prior retail industry experience, especially working with large enterprise data in finance, supply chain, merchandising, inventory, stores, sales, digital, product, or customer domains.
  • Experience working with Google Cloud Medallion Data Layer and GCP supported data processing tools.
  • Familiarity with SAP S4 data structure and finance domain report building experience.
  • Experience working in agile delivery environments, including user stories, acceptance criteria, sprint ceremonies, defect triage, and iterative delivery.
General requirements:
  • Develop queries and dataset required to validate legacy vs modern applications datasets to identify data variances.
  • Develop reports using end user visualization tools to present the variances and trends between sources.
  • Document data variances and identified root causes in collaboration with Product Manager/Engineers/Business Teams and get business sign off for known variances.
  • Build dashboards for data variance trend for the stakeholders and assist on determining tolerance thresholds for Go Live decisions.
  • 5+ years working in data analytics role.
  • 1-3 years of experience working in agile team.

Employee Benefits:
At LanceSoft, full time regular employees who work a minimum of 30 hours a week or more are entitled to the following benefits:
  • Four options of medical Insurance
  • Dental and Vision Insurance
  • 401k Contributions
  • Critical Illness Insurance
  • Voluntary Permanent Life Insurance
  • Accident Insurance
  • Other Employee Perks
About LanceSoft
LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch.
Meet Your Recruiter
Tushar Ghatode

LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

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