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Remote Data Analyst Jobs in Minnesota (NOW HIRING)

Intermountain Health

$31.01 - $48.84/hr

Identifies areas of improvements and processes through data analysis and designs innovative ... If applying for a remote or hybrid role, this includes remote work expectations related to ...

CSAA

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Minnesota

Remote Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do remote data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data analyst in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.
More about Remote Data Analyst jobs

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

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

What are popular job titles related to Remote Data Analyst jobs in Minnesota?

For Remote Data Analyst jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in Minnesota look for?

The top searched job categories for Remote Data Analyst jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Data Analyst jobs?

Cities in Minnesota with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Customer Relationship Management (CRM) Manager

rockler

Hamel, MN • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

Summary of Position

The CRM (Customer Relationship Management) Manager leads Rockler's CRM and Data team, owning the Salesforce CRM platform and overseeing a Data Analyst to drive customer intelligence, audience strategy, lifecycle marketing, and customer engagement. This role is responsible for developing CRM strategies that increase customer retention, repeat purchases, and customer lifetime value through data-driven marketing and personalized customer experiences.

The CRM Manager owns customer audience segmentation, lifecycle marketing automation, and reporting while ensuring the integrity of Rockler's customer data across key systems. This individual serves as the subject matter expert for Salesforce CRM, customer data governance, promotional discounts, reward cards, gift cards, and coupon execution. In partnership with Marketing, Merchandising, Ecommerce, and IT, the CRM Manager delivers actionable customer insights, governs CRM best practices, and helps shape strategies that improve marketing effectiveness and business performance.

Major Areas of Accountability

CRM Strategy & Leadership
  • Lead and manage the CRM and Data team, including direct oversight of a Data Analyst, fostering a collaborative, customer-focused, and insight-driven culture.
  • Own the Salesforce CRM platform, serving as the strategic lead for platform configuration, data governance, roadmap development, and ongoing optimization.
  • Develop CRM strategies that improve customer acquisition, engagement, retention, loyalty, and customer lifetime value.
  • Partner cross-functionally with Marketing, Ecommerce, Merchandising, Creative, IT, and Retail Operations to deliver coordinated customer experiences across channels.
 Customer Lifecycle & Personalization
  • Develop customer segmentation strategies and manage audiences within Salesforce to enable highly targeted communications across email, direct mail, SMS, and other marketing channels.
  • Design, build, optimize, and maintain customer lifecycle journeys, including welcome, post-purchase, loyalty, promotional, win-back, and other automated customer communications.
  • Develop personalized customer experiences using behavioral, transactional, demographic, and engagement data.
  • Lead ongoing testing and optimization of customer audiences, messaging, timing, offers, and lifecycle journeys to improve campaign performance and customer engagement.
 Analytics & Customer Insights
  • Lead CRM analytics efforts by partnering with the Data Analyst to develop reporting frameworks, customer KPIs, dashboards, and actionable business insights.
  • Own, execute, analyze, and communicate the results and trends of Net Promoter Score (NPS) and Customer-First Interaction Tracking (CFIT) programs.
  • Govern the marketing customer database, ensuring data quality, segmentation accuracy, customer integrity, and meaningful reporting.
  • Translate customer behavior and campaign performance into actionable recommendations that improve marketing effectiveness and support strategic business decisions.

Promotions & CRM Governance

  • Serve as the subject matter expert (SME) for promotional discounts, coupon codes, reward cards, and gift card execution processes.
  • Ensure promotional pricing, discounts, offers, and related marketing communications are executed accurately across all marketing channels.
  • Maintain D365 documentation and standard operating procedures (SOPs) supporting promotional execution, rewards programs, and gift card processes.

Troubleshoot D365-related issues and support testing for system upgrades and enhancements.

Requirements For Position

 Required Qualifications
  • Bachelor's degree in Marketing, Business, Analytics, or a related field, or equivalent professional experience.
  • Minimum of 5-7 years of experience in CRM, customer marketing, marketing technology, or database marketing within a complex multi-channel retail and/or eCommerce environment.
  • Strong understanding of customer data, segmentation strategies, lifecycle marketing, personalization, and CRM best practices.
  • Demonstrated ability to use customer insights, KPIs, and analytics to develop strategic recommendations and improve business performance.
  • Experience contributing to marketing strategy, process development, and continuous improvement initiatives.
  • Strong project management, communication, and cross-functional collaboration skills.
  • Full-time position with Hybrid to Fully remote options available 
 Preferred Qualifications
  • Hands-on experience with Salesforce Data Cloud or a comparable enterprise CRM.
  • Experience managing or mentoring direct reports and developing high-performing teams.
  • Experience with customer lifecycle marketing, loyalty programs, and marketing automation.
  • Experience with retail and/or eCommerce customer marketing.
  • Experience using analytics and reporting platforms such as Power BI, Tableau, GA4, or similar business intelligence tools.
  • Working knowledge of SQL or experience partnering closely with technical and data teams.

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