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Remote Data Analyst Python Jobs in Michigan (NOW HIRING)

Gordon Food Service

Associate Data Engineer

Wyoming, MI · On-site +1

Understand the business analytics problems the company faces and help build solutions that solve ... Hybrid schedule, 4 days in office in Wyoming, MI or Atlanta, GA with 1 day remote What you'll bring ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito ...

Cisive

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

... Databricks and Python * Excellent problem-solving skills, attention to detail, and strong ... Flexible/remote work options.

Magna

Junior Purchasing Analyst

Troy, MI · On-site +1

Data Analysis & Reporting * Collect, analyze, and interpret purchasing and market data (pricing ... This position will be located out of Troy MI, or remote with a travel requirement. Awareness, Unity ...

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Munich Re

Data Scientist, AI

Ann Arbor, MI · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

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All JobsData Analyst Python JobsRemote Data Analyst Python JobsRemote Data Analyst Python Jobs in Michigan

Remote Data Analyst Python information

What is the salary of Python 2 years experience?

A remote data analyst with two years of Python experience typically earns between $60,000 and $80,000 annually, depending on location, industry, and skill level. Proficiency in data manipulation, visualization, and relevant tools like Pandas or SQL can influence salary ranges.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analyst positions.

How do Remote Data Analyst Python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

Will AI replace data analysts?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role of a remote data analyst with skills in Python and data visualization remains valuable, as AI complements human expertise rather than replacing it entirely.

What is a Remote Data Analyst Python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

Is 40 too late for data science?

Age is not a barrier to becoming a data analyst or transitioning into data science; many professionals start or switch careers later in life. Success depends on acquiring relevant skills such as Python, SQL, and machine learning, along with practical experience and certifications. Employers value diverse backgrounds and experience, making 40 a reasonable age to pursue a data science career if you build your skills and portfolio.

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

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

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

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

What are popular job titles related to Remote Data Analyst Python jobs in Michigan? For Remote Data Analyst Python jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Python jobs in Michigan look for? The top searched job categories for Remote Data Analyst Python jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Analyst Python jobs? Cities in Michigan with the most Remote Data Analyst Python job openings:
Remote Data Analyst Python 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

Posted yesterday

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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