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Remote Data Analyst Jobs in Maple Grove, MN (NOW HIRING)

nVent

Commercial Sales Operations Analyst

Saint Louis Park, MN · On-site +1

$76K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data analytics/programming tools: SQL, Snowflake is helpful. * Strong verbal and written communication skills. * Ability to work 4 days a week from our St Louis Park, MN HQ, and 1 day remote. WE HAVE:

3M

Master Data Management Operations Mgr

Maplewood, MN · On-site +1

$164K - $201K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Conduct internal and external analysis to identify trends, risks, opportunities, best practices, and business implications affecting Master Data Management. * Support strategic initiative planning ...

Ramsey County, MN

Planning Analyst

Saint Paul, MN · On-site +1

$80K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hazelwood Professional Center, MN Job Type: Full Time Remote Employment: Flexible/Hybrid Job Number ... A background in environmental health, waste management, or data analysis is highly valued, along ...

Huntington

Lead Business Systems Analyst

Minnetonka, MN · On-site +1

$70K - $140K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... Data Analyst, or related work. * 2+ years of experience building data queries (preferred SQL ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Vervint

Director of Data Intelligence

Minneapolis, MN · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

Huntington

Data Engineer

Minnetonka, MN · On-site +1

$63K - $124K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Analyze and review existing or proposed data sources, controls, security, scalability and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Danaher

AI Process Automation Analyst

Chaska, MN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... a remote position. In this role, you will have the opportunity to: * Partner with Operating ... Data skills: SQL/Python, Power BI, API experience (software systems connectivity and exchange of ...

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Posted today

Papco

Energy Procurement Analyst

Minnetonka, MN · Remote

Energy Procurement Analyst Location: Remote (U.S.) About World Fuel At World Fuel, we help ... We're looking for an analytical, detail-oriented professional who enjoys working with data, solving ...

Polaris, Inc.

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics ... Ability to work in a remote or hybrid model while being commutable to Medina, MN for quarterly ...

Standard Iron

Pricing Analyst

Monticello, MN · Remote

... hybrid or remote with travel to the Monticello, MN office. Position Overview Following the ... Data Analysis & Profitability: Analyze product cost, customer, and market data to identify trends ...

Standard Iron

Pricing Analyst

Monticello, MN · On-site +1

... hybrid or remote with travel to the Monticello, MN office. Position Overview Following the ... Analyze product cost, customer, and market data to identify trends, mitigate price erosion, and ...

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Showing results 21-40

All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Maple Grove, MN

Remote Data Analyst information

See Maple Grove, MN salary details

$34.8K

$84.6K

$139.3K

How much do remote data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data analyst in Maple Grove, MN is $84,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $99,300.00 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 Maple Grove, MN?

The most popular types of Data Analyst jobs in Maple Grove, MN are:

What are popular job titles related to Remote Data Analyst jobs in Maple Grove, MN?

For Remote Data Analyst jobs in Maple Grove, MN, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in Maple Grove, MN look for?

The top searched job categories for Remote Data Analyst jobs in Maple Grove, MN are:

What cities near Maple Grove, MN are hiring for Remote Data Analyst jobs?

Cities near Maple Grove, MN with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Maple Grove, MN as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $84,619 per year, or $40.7 per hour.

Senior Analyst, Analytics & Insights

Bold Orange Company, LLC

Minneapolis, MN • Remote

$85K - $125K/yr

Full-time

Re-posted 28 days ago

Job description

About Bold Orange:
 
Bold Orange (BOCO) is a customer experience company. We believe authentic human connections are the single most important driver of business and societal progress. We exist to create these connections across the customer lifecycle, from acquisition to engagement to retention. Our culture is one of curiosity, collaboration, proactivity and always bringing the outside, future focused perspective to our clients.
 

Position Summary:

Bold Orange (BOCO)’s growing Analytics & Insights team is seeking a Senior Analyst with at least 5+ years of hands-on experience analyzing marketing & customer datasets and experience building machine learning models and/or statistical experiments.

A Senior Analyst in the team will be expected to lead the hands-on analytics work end-to-end in these projects, with constant support and mentorship from a Director. This end-to-end work can include identifying what datasets are worth analyzing, provisioning & cleaning data, data exploration & modelling (clustering, forecasting, driver models, etc.), developing actionable insights, designing compelling data visualizations, and presenting / discussing recommendations with clients.

Across BOCO Analytics projects, someone in the Senior Analyst role will need to leverage their previous experience and bring a curious, creative energy for ongoing learning. With analytics work spanning customer transactions data, search/AI & web analytics data, email & SMS engagement data, media investment & engagement data, product & in-store reviews data, and more, our team needs to bring fundamental analytics skills and an agile mentality for exploring new domains.

The ideal candidate has at least 5+ years of hands-on marketing analytics experience including knowledge of both SQL and Python, comfort with Snowflake and/or other cloud data platforms, and demonstrated experience organizing, integrating, analyzing, and interpreting data to form a clear, compelling story.

Experience with digital analytics tools (Google Analytics, digital ads platforms, ESPs, etc.) is not required but preferred.

Responsibilities:
  • Analyze integrated marketing and customer journey datasets to understand the drivers of success/failure in the context of client strategy and develop clear recommendations for a non-technical audience from this data.
  • Build machine learning models (scikit-learn, XGBoost) & run statistical experiments (control vs. exposed, MAB) to validate, predict, and identify drivers of marketing outcomes.
  • Explore and learn to leverage new analytics datasets and tools, helping clients understand how they can support insights and optimization.
  • Design, build, and train clients to understand reporting, dashboards, and performance insights for ongoing client delivery (Data Studio, PowerBI, Tableau, PowerPoint).
  • Present and discuss analysis with internal stakeholders and clients, including adapting content for different audiences.
  • Build and maintain data architecture documentation to ensure clarity across teams on what datasets are canonical and where they come from.
  • Mentor junior analytics team members to support their ongoing development, always promoting creativity as well as structured thinking.
Required Qualifications:
  • At least 5+ years domain experience within digital analytics, marketing analytics or related field.
  • Working knowledge of SQL and Python (incl. Pandas) for analytics and machine learning
  • Experience with statistical modeling and experimental design, including randomized control designs, regression modeling, decision tree / random forest classification, or other machine learning approaches.
  • Bachelor’s degree in data science, business analytics, social sciences, or another related discipline with meaningful exposure to data analysis.
  • Ability to thrive in a highly collaborative, cross-functional environment where analytics supports and works closely with tech, creative, and execution teams
  • Innately curious and keen to learn new skills and new tools
  • Excellent communication skills – verbal and written. This is a client-facing analytics role.
Preferred Qualifications:
  • Experience with machine learning & modeling tools including Scikit-Learn, XGBoost, PyMC, Statsmodels, Prophet, and/or Dataiku
  • Experience with cloud data platforms including Snowflake, Databricks, AWS, Google Cloud, etc. Snowflake experience is especially valuable.
  • Experience with data analysis & visualization tools including Data Studio (formerly Looker Studio), Tableau, Sigma, PowerBI, and/or Datorama.
  • Experience with digital experience analytics tools including Google Analytics, Google Ads, Meta Ads, TikTok Ads, and/or SEMRush.
  • Experience using AI tools (including custom skills / agents) to accelerate data analysis, code generation, or insight development.
We benchmark salaries across industry standards and local markets to ensure we offer competitive, fair compensation. Final offers reflect a candidate’s skills, experience, and location. The annual base for this position is anticipated to be between $90K to $125k. Final compensation will be dependent on the ideal candidates experience and local market at the time of hire. 
Benefits That Matter:
Our benefits are designed to support life’s many stages—expected and unexpected. Eligible employees can access:
• Medical, dental, and vision insurance
• Virtual mental health support
• Health Savings and Flexible Spending Accounts (including dependent care)
• Infertility and critical illness benefits
• 401(k) with generous 6–10% employer contribution
• Paid parental leave
• Tuition reimbursement
• Free parking and commuter support
Note: Some benefits apply only to full-time employees.
 
Who We Are:
Our tone is professionally sassy. We embrace meat raffles, hot seats, and the occasional Jell-O shot. We like staff meetings that are informative, educational, and at times, damn funny. We believe in no hierarchy, no bullshit, no politics. Just honest, hard work and great fun.
 
Equal Opportunity Employer:
We are an equal opportunity employer, dedicated to a policy of nondiscrimination in employment on any basis including race, color, creed, gender, sexual orientation, age, disability, religion, national origin, marital status, familial status, ancestry, status as a veteran, status with regard to public assistance and any other characteristic protected by law. Bold Orange does not and will not discriminate against employees, prospective employees, clients, or vendors.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.