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

EnthuZiastic

Growth Hacker - Remote

Minneapolis, MN · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

EnthuZiastic

Growth Hacker - Remote

Plymouth, MN · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

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:

New

Polaris, Inc.

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

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 ...

Danaher

AI Process Automation Analyst

Chaska, MN · On-site +1

... and data analysis, documentation of current & future state workflows for automation requirements ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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

Remote Data Analysis information

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, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.
What are the most commonly searched types of Data Analysis jobs in Maple Grove, MN? The most popular types of Data Analysis jobs in Maple Grove, MN are:
What are popular job titles related to Remote Data Analysis jobs in Maple Grove, MN? For Remote Data Analysis jobs in Maple Grove, MN, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Maple Grove, MN look for? The top searched job categories for Remote Data Analysis jobs in Maple Grove, MN are:
What cities near Maple Grove, MN are hiring for Remote Data Analysis jobs? Cities near Maple Grove, MN with the most Remote Data Analysis job openings:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Maple Grove, MN as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Data Analyst (Human Capital) | TELECOMMUTE

TriOptus LLC

Minneapolis, MN • On-site, Remote

$89K - $113K/yr

Contractor

Re-posted 17 days ago

Job description

100% telecommute
Hours: Regular day working hours with some flexibility, but must be available for most of Central Time working hours with a heavier focus on availability in the mornings
Project:
  • Working with customers to design data extracts based on their reporting needs
  • Collaborating with Data Engineers on the data exports required from data pipelines
  • Analyzing data and combining datasets to develop reporting products/solutions

Team:
  • We are a team of 9 Data Engineers and Analysts + Engineering Managers/Leaders
  • We have 1 product owner on the team and work with several others directly
  • We have a Scrum Master aligned as well

Responsibilities:
  • Be a key or core resource for complex issues, data discrepancies, and fire drills
  • Assesses and interprets customer requests for feasibility, priority, and complexity and documents and delegates those requests within an agile/intake tool
  • Consult with People Analytics and People Analytics team for developing and building prioritized and standard solutions.
  • Develop innovative solutions for both structured and unstructured data
  • Create and maintain internal process documentation and customer-facing help documents
  • Lead projects and change initiatives aligned to key priorities of People Analytics and People Analytics customers
  • Understands priorities and organizes prescribed and non-prescribed work to meet or exceed deadlines and expectations
  • Deeply understand and innovate underlying data structures of standard reporting (complex join criteria, table sources, data types, data definitions, dataflows) and be able to find, validate, combine, and export raw and derived data assets.
  • Execute intermediate programming and/or scripting in at least one of our core technologies to build applications.
  • Leads functional calls for technical subjects (like weekly calls with data management or tech teams)
  • Leads data validation efforts and leads data optimization solutions by requesting changes to core solutions in our data lake
  • Reviews work of others and provides guidance on execution, best practices, and areas for improvement
  • Works with minimal guidance; seeks guidance on only the most complex tasks
  • Proactively keep data secure and decommission legacy content in our environment
  • Sought out as an expert within the People Analytics community and works cross-functionally across the team/community for shared or advanced solutions
  • Serves as a leader and mentor to analysts in lower grade levels
  • Coaches, provides feedback, and guides others within the People Analytics community

Ideal Background: Ideal candidate would have experience in the Human Capital space, working with data from Human Capital systems
Required Qualifications:
  • Undergraduate degree or equivalent experience
  • 4+ years of experience with Human Capital/People Teams, business or financial analysis, etc.
  • 4+ years of experience analyzing data and combining datasets to develop reporting products/solutions
  • 3+ years of experience building dashboards and visualizations in a data visualization tool such as Domo, Tableau, QlikView, PowerBI or similar Business Intelligence platform
  • Advanced level of experience in ETL for visualization tools: complex formulas, complex inner and outer joins, reformatting and manipulating data, etc.
  • Intermediate level of experience in SQL/HiveQL: counts, select statements, filters, groupings, etc.
  • Experience communicating both verbally/written with people at a wide variety of levels in an organization
  • Experience researching issues, investigating data accuracy, and performing quality checks
  • Knowledge of JavaScript, CSS (Cascading Style Sheets), and HTML

Preferred Qualifications:
  • Experience in data extraction, manipulation, and management
  • Experience researching issues, investigating data accuracy, and performing quality checks
  • Project Management skills
  • Ability to work independently and collaborate effectively with others
  • Experience creating user stories using the "As a (role), I want (function) so that (business value)" methodology
  • Basic understanding of statistical methodologies and measurements
  • Experience leading people (directly or indirectly) or large-scale projects
  • 1+ years in an agile environment or with agile tools such as Rally or Swift

Required Skills : Data Analysis
Basic Qualification :
Additional Skills : Data Analyst
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No

Apply