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Remote Data Analyst Python Jobs in Utica, MI (NOW HIRING)

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Sr. Data Engineer

Detroit, MI ยท Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Strong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development ...

Sr. Data Engineer

Detroit, MI ยท Remote

$108K - $147K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Strong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development ...

Privacy Analyst (Remote)

Dearborn, MI ยท Remote

$85K - $100K/yr

Support Data Subject Access Request (DSAR) processes and privacy-related issue resolution * Ensure ... Strong analytical and problem-solving skills * Knowledge of privacy regulations such as CCPA and ...

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Remote Data Analyst Python information

See Utica, MI salary details

$31K

$75.4K

$124.1K

How much do remote data analyst python jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote data analyst python in Utica, MI is $75,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $88,500.00 per year, depending on experience, location, and employer.

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 job categories do people searching Remote Data Analyst Python jobs in Utica, MI look for? The top searched job categories for Remote Data Analyst Python jobs in Utica, MI are:
What cities near Utica, MI are hiring for Remote Data Analyst Python jobs? Cities near Utica, MI with the most Remote Data Analyst Python job openings:
Treasury Analyst - AI Trainer

Treasury Analyst - AI Trainer

DataAnnotation

Detroit, MI โ€ข Remote

$50 - $60/hr

Contractor

Re-posted 25 days ago


Job description

About the job:

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an opportunity to work with us as an independent contractor.

We're currently expanding into an exciting new area โ€“ teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.

In this role, you might:

โ€ข Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets

โ€ข Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work

โ€ข Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up โ€“ and where it doesnโ€™t.

โ€ข Share clear, structured feedback to help make each new version of the AI smarter and more reliable.

To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Masterโ€™s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some projects

Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Master's and/or PhD is preferred but not required

Note:

Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contractor position.

#finance