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Full Time Retail Data Analyst Jobs in Minnesota (NOW HIRING)

Highly Regarded ยท Exposure to a major retail data platform (Quantium, NIQ/NielsenIQ Scan, Circana ... Sales Analyst, Category Analyst, Commercial Analyst, or Account Executive support role, CPG ...

Highly Regarded โ€ข Exposure to a major retail data platform (Quantium, NIQ/NielsenIQ Scan, Circana ... Sales Analyst, Category Analyst, Commercial Analyst, or Account Executive support role, CPG ...

SQL Delta Lake Data Profiling Data Validation Root Cause Analysis Data Governance Preferred Qualifications Experience in restaurant, retail, franchising, hospitality, or multi-location operations.

The Data Quality Analyst will be responsible for monitoring, measuring, and improving data quality ... Experience in restaurant, retail, franchising, hospitality, or multi-location operations.

Sr. Channel Development Analyst

Plymouth, MN ยท Hybrid

$83K - $109K/yr

Analyze business, financial, and performance data to identify trends, opportunities, and areas for ... Knowledge of dealer, retail, distribution, or channel-based business environments preferred.

Sr. Channel Development Analyst

Plymouth, MN ยท On-site

$83K - $109K/yr

Analyze business, financial, and performance data to identify trends, opportunities, and areas for ... Knowledge of dealer, retail, distribution, or channel-based business environments preferred.

Showing results 21-40

Full Time Retail Data Analyst information

What does a full time retail data analyst do?

A Full Time Retail Data Analyst is responsible for collecting, analyzing, and interpreting data related to retail sales, inventory, customer behavior, and market trends. They use statistical tools and software to identify patterns and insights that help improve business decisions, optimize inventory, and enhance customer experience. Their work supports strategic planning, marketing efforts, and overall business performance in a retail environment.

What are some common challenges a full time retail data analyst faces when interpreting sales data from multiple store locations?

A Full Time Retail Data Analyst often encounters challenges such as data inconsistencies between locations, integrating data from various point-of-sale systems, and accounting for regional differences in customer behavior. Effective analysts must ensure data accuracy and standardization while also contextualizing trends that may be influenced by local events or promotions. Collaborating closely with store managers and IT teams is key to resolving discrepancies and gaining actionable insights that drive business decisions.

What are the key skills and qualifications needed to thrive as a full time retail data analyst, and why are they important?

To thrive as a Full Time Retail Data Analyst, you need strong analytical abilities, proficiency in statistics, and a relevant degree such as in mathematics, business, or data science. Expertise with data analysis tools like Excel, SQL, Power BI, and often Python or R, as well as experience with retail management systems, is typically required. Attention to detail, problem-solving, and effective communication are standout soft skills for interpreting data and sharing insights with stakeholders. These competencies enable analysts to make informed recommendations that drive sales, optimize inventory, and improve overall business performance.

What is the difference between Full Time Retail Data Analyst vs Part Time Retail Data Analyst?

AspectFull Time Retail Data AnalystPart Time Retail Data Analyst
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
CredentialsRelevant degree in data analysis, statistics, or related fieldSame as full-time, but may require less experience
Work EnvironmentFull-time retail stores, corporate offices, or warehousesSimilar environments, often with flexible scheduling
Employer UsageCommonly employed by retail chains for ongoing data analysisUsed for specific projects or seasonal analysis

Full Time Retail Data Analysts work regular hours and are employed on a permanent basis, focusing on ongoing data insights. Part Time Retail Data Analysts work fewer hours, often on a temporary or flexible basis, suitable for seasonal or project-specific needs. Both roles require similar skills and credentials but differ mainly in hours and employment stability.

What are the most commonly searched types of Retail Data Analyst jobs in Minnesota?

The most popular types of Retail Data Analyst jobs in Minnesota are:

What are popular job titles related to Full Time Retail Data Analyst jobs in Minnesota?

For Full Time Retail Data Analyst jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Full Time Retail Data Analyst jobs in Minnesota look for?

The top searched job categories for Full Time Retail Data Analyst jobs in Minnesota are:

What cities in Minnesota are hiring for Full Time Retail Data Analyst jobs?

Cities in Minnesota with the most Full Time Retail Data Analyst job openings:

Infographic showing various Full Time Retail Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Analyst - Investment Insight

Royal Bank of Canada

Minneapolis, MN โ€ข On-site, Remote

$70K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Job Description

What is the opportunity?

As a Senior Data Analyst focused on Investment Insight's for RBC's U.S. Global Asset Management business you will have the opportunity to act as a strategic bridge between our North American investment teams and global data capabilities, championing data excellence and technology adoption across our US offices. This role will combine deep investment data knowledge with technical and process improvement expertise to drive sustainable transformation in how investment data is accessed, utilized, and leveraged for decision-making. Acting as both advocate and translator, you will help transform investment team challenges into actionable data solutions while establishing best practices.

What will you do?

  • Work with the investment desk and Data Insight team to identify opportunities for improving existing and creating new processes, tools, and services that support investment operations
  • Execute and implement opportunities identified above using all available tools and technologies as needed
  • Contribute thought leadership on how technology can multiply investment team effectiveness
  • Build business cases for strategic data initiatives based on direct investment stakeholder feedback
  • Explore and implement AI-driven productivity enhancements for investment data workflows
  • Champion adoption of existing self-service data applications and tools, including Portfolio Insight (PI), Tableau, Python, and emerging AI tools across North American investment teams
  • Deliver training, guidance, and hands-on support to investment professionals, building their confidence and capability with data tools
  • Review, document, and enhance data processes for US Fixed Income Funds and US offices, creating comprehensive process documentation where gaps exist, including technical specifications where further enhancements are required
  • Identify repetitive, manual processes suitable for automation, implementing solutions directly or working with IT/PMO where appropriate
  • Break down silos between US and EMEA offices by facilitating clear communication on data standards, processes, and capabilities
  • Translate technical data concepts for investment audiences and investment requirements for data teams
  • Take ownership of underlying data sets used in North American Client Reporting processes
  • Work with investment desks and business teams to collate data from internal systems for client data requests

What do you need to succeed?

Must-have

  • Bachelor's degree preferably with a focus in finance, economics or business
  • 2-5 years of investment management data & reporting experience, preferably with experience with fixed income funds
  • Experience leveraging Python and/or SQL for data management/extraction
  • Able to work independently with remote management structure

Nice-to-have

Experience developing dashboards leveraging data visualization tools such as Tableau or Power BI

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program include competitive compensation and flexible benefits, such as 401(k) program with company-matching contributions, health, dental, vision, life, disability insurance, and paid-time off.
  • Leaders who support your development through coaching and managing opportunities.
  • Ability to make a difference and lasting impact.
  • Work in a dynamic, collaborative, progressive, and high-performing team.
  • Opportunities to do challenging work.
  • Opportunities to build close relationships with clients.

The expected salary range for this particular position is $70,000-$130,000, depending on your experience, skills, and registration status, market conditions and business needs.

You have the potential to earn more through RBC's discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.

RBC's compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

  • Drives RBC's high-performance culture
  • Enables collective achievement of our strategic goals
  • Generates sustainable shareholder returns and above market shareholder value

Job Skills

Critical Thinking, Data Administration, Database Structures, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Information Capture, Standard Operating Procedure (SOP), Teamwork

Additional Job Details

Address:

250 NICOLLET MALL:MINNEAPOLIS

City:

Minneapolis

Country:

United States of America

Work hours/week:

40

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-13

Application Deadline:

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME