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Retail Business Intelligence Jobs in Wisconsin (NOW HIRING)

WI · On-site

$115 - $149/hr

Experience in agriculture, ag-tech, market intelligence, business intelligence, GIS, or decision-support software * Familiarity with agricultural retail, crop inputs, grain markets, sustainability ...

Oracle Business Analyst

Milwaukee, WI · On-site

$59 - $81.50/hr

... Retail, e-commerce, Automotive, Life Science, Insurance, legal, healthcare, among others. It also ... Intelligence, Telecommunications, Consulting and Planning, Network design, Implementation ...

WI · On-site

$120 - $180/hr

Reports all customer action items and market intelligence through weekly contact reports. While in ... Works closely with Retail Business Unit Manager on recommendations for product enhancements, new ...

... and business intelligence tools. • Analyze business systems to optimize and enhance IS capabilities. • Perform quality assurance, define reporting, and alerting requirements across various ...

WI · On-site

$60 - $85/hr

Captures data from Business Intelligence and Forge Analytics to develop crucial reports for ... Retail, National chains, and Industrial channels * Works with Sales team members to manage ...

New

WI · On-site

$68 - $78/hr

What you will do As a Retail Sales Manager, you will be responsible for our strategy and ... Business Intelligence * Prepare action plans to identify specific targets and to project the number ...

New

WI · On-site

$70 - $78/hr

What you will do As a Retail Sales Manager, you will be responsible for our strategy and ... Business Intelligence: * Prepare action plans to identify specific targets and to project the ...

New

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Showing results 1-20

Retail Business Intelligence information

What is the difference between Retail Business Intelligence vs Retail Data Analyst?

AspectRetail Business IntelligenceRetail Data Analyst
Primary FocusDeveloping and managing BI tools, dashboards, and reporting systems to support strategic decision-makingAnalyzing retail data to identify trends, patterns, and insights for operational improvements
Skills & CertificationsBI tools (e.g., Tableau, Power BI), data warehousing, SQL, analytics certificationsData analysis, SQL, Excel, statistical skills, often with similar certifications
Work EnvironmentTypically in a corporate or retail headquarters setting, collaborating with IT and managementOften in retail stores or corporate offices, working closely with marketing, sales, and operations teams

Retail Business Intelligence focuses on creating and managing systems that provide strategic insights through dashboards and reports, while Retail Data Analysts interpret data to uncover operational trends. Both roles require similar skills and certifications but differ in their scope and daily tasks.

Is retail business intelligence a high paying job?

Retail Business Intelligence roles typically offer competitive salaries that vary based on experience, location, and company size. Professionals with skills in data analysis, SQL, and BI tools like Tableau or Power BI tend to earn higher wages, especially at senior levels or with certifications. Overall, it can be a well-paying career path within the retail and data analysis fields.

What cities in Wisconsin are hiring for Retail Business Intelligence jobs?

Cities in Wisconsin with the most Retail Business Intelligence job openings:

Infographic showing various Retail Business Intelligence job openings in Wisconsin as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Senior Manager, Business Intelligence Engineer (Remote)

KOHLS

Menomonee Falls, WI • On-site

$51.25 - $66.50/hr

Other

Posted 14 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,474 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores


Job description

About the Role

In this role you will drive the transformation of Kohl’s into a data-native organization by leveraging technical expertise and strategic insight. You’ll work with cross-functional teams and specialize in understanding how data is generated, transformed, and applied to drive business decisions. Your in-depth knowledge of the BI ecosystem will allow you to convert raw data into meaningful insights. You’ll help democratize the right data across the organization and ensure it is structured, scalable, and of high quality. 

What You’ll Do

  • Lead data and analytics strategies that span multiple balance teams and include the most complex cross-functional initiatives

  • Guide a team of engineers and managers to promote strong data literacy 

  • Enable cross functional teams in identifying problem statements and areas for analysis prior to experiments or testing

  • Independently perform analysis of complex data sources to determine value and use given specific problem statements

  • Acquire and compile structured and unstructured data from disparate sources and verify its quality, accuracy and reasonableness

  • Create data visualizations to enable data exploration and translate analytic insights into tangible, actionable solutions for business partners and leaders

  • Actively seek opportunities to expand technical knowledge and solicit feedback internally and externally to drive usability of our enterprise data platform

  • Align and deliver integrated solutions with analytics teams outside of the Kohl’s Technology department

  • Collaborate with other BIE leaders to develop, document and share best practices and to collectively inform company strategic and tactical decisions

  • Oversee and refine all processes for attracting, retaining, developing and coaching associates across multiple balanced teams

  • Additional tasks may be assigned

What Skills You Have

Required

  • Experience with business intelligence tools such as Tableau or Qlik, including building interactive dashboards and visualizations for non-technical stakeholders

  • Ability to communicate and convey complex technical information clearly to all types of audiences

  • Strong problem-solving skills with a proactive approach to overcome challenges in data analysis

  • Ability to collaborate effectively in cross-functional teams and work closely with stakeholders from different business units to promote data-driven decision-making

  • Ability to manage multiple priorities and projects with strong attention to detail

  • Experience leading more than 1 team of individual contributors and managers 

  • Lead and coach engineers and managers across multiple teams, championing a lean product mindset and outcome-driven execution.

  • Experience supporting advanced analytics, A/B testing/experimentation measurement.

Preferred

  • Undergraduate degree (BA/BS) in an analytic/quantitative field. 

  • A minimum of 10+ years of relevant professional experience in a data analysis role

  • 3+ years of formal managerial or leadership experience in analytics or retail organizations

  • Experience querying data using SQL and programming with Python and R

  • Experience using any cloud data warehouses including Google Big Query, Amazon RedShift, Snowflake, etc.

  • Experience building enterprise-grade data visualizations using Qlik, or Looker, with a strong understanding of semantic data modeling design.

  • Familiarity with leveraging Generative AI tools (like Gemini) to build conversational analytics dashboards or automate reporting workflows.

  • Experience in aggregate and semantic data modeling design for reporting.


What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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