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Remote Data Jobs in Michigan (NOW HIRING)

micro1 AI

AI Data Trainer - MS Suite - Remote

Detroit, MI · Remote

$35 - $50/hr

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... data-driven reporting, tailored to your industry background. * Document findings and provide ...

Gordon Food Service

Associate Data Engineer

Wyoming, MI · On-site +1

Hybrid schedule, 4 days in office in Wyoming, MI or Atlanta, GA with 1 day remote What you'll bring ... Experienced in modern data movement technologies (e.g. serverless, real-time, as needed computing ...

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All JobsData JobsRemote Data JobsRemote Data Jobs in Michigan

Remote Data information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do remote data jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote data in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Michigan? The most popular types of Data jobs in Michigan are:
What are popular job titles related to Remote Data jobs in Michigan? For Remote Data jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Michigan look for? The top searched job categories for Remote Data jobs in Michigan are:
What cities in Michigan are hiring for Remote Data jobs? Cities in Michigan with the most Remote Data job openings:
Remote Data jobs near you
Data Engineer / Senior Data Engineer

Data Engineer / Senior Data Engineer

GreenStone Farm Credit Services

East Lansing, MI • On-site, Remote

$150/day

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

Are you passionate about building smart data systems that power big decisions? We're looking for a Data Engineer who's ready to roll up their sleeves and help us take our data platform to the next level. If you thrive on solving complex problems, designing clean data flows, and making data work harder (and smarter) - let's talk.

 

Get to know GreenStone

Our $16 billion portfolio of customers, ranging from rural homeowners to global agriculture and food businesses, provides our employees with a unique opportunity to maintain a local presence while working for a top workplace. Our diverse business structure provides exciting opportunities for passionate, talented professionals in many areas. Additionally, many of our team members are highly respected in their area of expertise at both the state and national level making GreenStone one of the top Farm Credit associations in the country.

 

Culture

 

Core Four values steer everything we do at GreenStone. Customer First, Deliver Quality, Get involved, Do the right thing. Employees work as a team to create a company fueled by the desire to best serve each other and our customers every day. Greenstone culture promotes innovative thinking, professional development, health and wellness, and a relaxed work environment with flexible schedules.

 

What can we offer you?

 

GreenStone trusts the people we hire. We empower employees to make the best decisions for the customer and the company.

 

GreenStone has an outstanding Total Rewards package, which includes, but is not limited to:

  • 15 vacation days, 12 sick days, and 12 paid holidays per year
  • 16 hours of volunteer time
  • Paid parental leave
  • 401(k) plan - up to a 9% employer contribution/match
  • Medical, Dental, Vision, STD, LTD, Life/AD&D benefits, etc.
  • $150/year Logo Wear allowance
  • $400/year Wellness Subsidy/Reimbursement & wellness programs
  • $6,000 lifetime maximum Student Debt repayment program
  • Yearly bonus/incentive opportunity available to all benefit eligible employees

What You'll Do:

  • Design and build scalable, secure, and resilient data pipelines that make data flow smoothly from source to insight.
  • Own and enhance our enterprise Business Intelligence platform - making sure it's optimized, reliable, and future-ready.
  • Partner with Finance and IT teams to turn raw data into meaningful stories and actionable insights.
  • Lead the charge on ETL processes (designing, managing, tuning, and monitoring) to keep our data world in motion.
  • Be a performance guru - optimizing queries, tuning databases, and staying a step ahead of bottlenecks.
  • Automate reporting workflows, ensure data quality, and bring fresh thinking to every step of the data journey.
  • Keep us on the bleeding edge - exploring new technologies and stream-processing systems in cloud environments (AWS or Azure).
  • Maintain top-notch documentation and follow best practices in data warehousing, security, and compliance.

 

What Experience can you Bring?

  • Bachelor's degree in Computer Science, Information Systems, Business Administration, Finance, or a related field is required.
  • 1+ years of professional experience developing data warehouses is required.
  • Experience working with Microsoft BI tools (SSIS, SSAS, SSRS, Power BI)
  • Strong in SQL programming and Kimball data warehouse modeling.
  • Master of the Databricks platform and Python programming, certifications preferred
  • A team player mindset - you listen, collaborate, and help make others better.

Tech You'll Use:

  • Microsoft BI Platform (SSIS, SSAS, SSRS, Power BI)
  • Azure / AWS
  • Databricks, Delta Lake, Lakehouse, Unity Catalog
  • Python programming
  • SQL Server, ETL frameworks, Data Lakes
  • Agile tools + modern collaboration platforms

 

Why You'll Love It Here:

  • Impact: Your work directly influences critical business decisions.
  • Growth: Learn new tools, explore new ideas, and evolve your career in a supportive environment.
  • Culture: Collaborative, inclusive, and innovation-driven.
  • Flexibility: Hybrid and remote work options to support your best work style.

 

GreenStone Farm Credit Services is an equal opportunity employer. It is our policy to provide equal employment opportunity to all persons regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, or any other characteristic protected by law. We comply with all federal, state and local equal employment opportunity regulations. We conduct all personnel decisions and processes relating to our employees and job applicants in an environment free of discrimination and harassment.

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