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Remote Data Analyst Python Jobs in Naperville, IL

Experience coding in Python, SQL, or similar languages to automate data processing and build analytical pipelines * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... tool development using Python. * Review retro-commissioning and building tune-up project ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... tool development using Python. * Review retro-commissioning and building tune-up project ...

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Chicago, IL (Remote) Employment Type: Full-Time Experience Required: 7-9 Years Visa Type: USC / GC ... SQL & Large Analytical Datasets * Azure / AWS / GCP * Pytest & Test Automation * Git & CI/CD

Integrate multiple data sources, including precision agriculture tools (e.g., remote sensing, field ... Strong proficiency in Python, R, SQL, and modern BI tools (e.g., Power BI, Tableau) * Experience ...

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Use advanced data analytics to understand consumer risk behavior trends, their impact on the ... Programming experience with Python * Strong quantitative and problem-solving skills with key ...

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Use advanced data analytics to understand consumer risk behavior trends, their impact on the ... Programming experience with Python * Strong quantitative and problem-solving skills with key ...

Showing results 21-40

Remote Data Analyst Python information

See Naperville, IL salary details

$33.9K

$82.5K

$135.8K

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

As of Sep 4, 2026, the average yearly pay for remote data analyst python in Naperville, IL is $82,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a remote data analyst python?

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.

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.

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.

Is it possible to work remotely as a remote data analyst Python?

Yes, remote data analyst roles that require Python are widely available, especially as many companies adopt flexible work arrangements. These positions often involve skills in data analysis, programming, and tools like pandas and Jupyter Notebook, making remote work feasible with a reliable internet connection. Certifications and experience can enhance opportunities in remote data analysis jobs.

What remote jobs can you get with Python?

Remote data analyst roles that require Python involve analyzing large datasets, creating reports, and developing data models using tools like pandas and Jupyter Notebook. These positions often require strong programming skills, familiarity with SQL, and the ability to work independently in a virtual environment.

What job categories do people searching Remote Data Analyst Python jobs in Naperville, IL look for?

The top searched job categories for Remote Data Analyst Python jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Remote Data Analyst Python jobs?

Cities near Naperville, IL with the most Remote Data Analyst Python job openings:

Infographic showing various Remote Data Analyst Python job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $82,517 per year, or $39.7 per hour.

Energy Analyst, Data Center Portfolio

Meta

Chicago, IL • On-site, Remote

$132K/yr

Full-time

Posted 17 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies


Job description

Meta designs, builds, and operates some of the most innovative and energy-efficient data centers in the world. As global demand for compute infrastructure grows, so does the complexity of securing reliable, cost-effective, and sustainable energy supplies. Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy team, which is responsible for energy strategy, commercial and clean energy procurement, and energy portfolio management across Meta's rapidly expanding global data center portfolio. In this role, you will provide analytical expertise that directly informs site selection, energy procurement decisions, long-term capacity planning, and financial governance.
Energy Analyst, Data Center Portfolio Responsibilities:
  • Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new and existing data center sites
  • Develop and maintain financial models to forecast energy consumption, demand charges, and rate impacts across Meta's global data center portfolio
  • Conduct comprehensive load and cost analytics to support regional expansion and inform energy procurement strategies
  • Build scalable analytical tools and dashboards to streamline portfolio analysis and improve reporting efficiency
  • Engage with Infrastructure and Capacity Engineering stakeholders to incorporate data center design trends into load forecasting methodologies
  • Monitor wholesale energy market developments, regulatory changes, and utility rate proceedings that may affect Meta's data center operating costs
  • Synthesize complex energy data and present findings clearly to technical and non-technical stakeholders across the organization
  • Support the risk program to identify and quantify portfolio-wide wholesale market exposure
  • Create scalable AI-native analytical tool to improve efficiency and accuracy

Minimum Qualifications:
  • 6+ years of experience in the energy industry with a focus on wholesale or retail rate analysis, load forecasting, or energy market analytics
  • Experience analyzing electric utility tariffs, wholesale energy market data, and renewable energy structures
  • Experience applying quantitative and financial modeling methodologies to evaluate energy market risks and opportunities
  • Experience collaborating cross-functionally with Finance, Accounting, or Infrastructure teams to support data-driven business decisions
  • Experience prioritizing and managing multiple concurrent analytical workstreams to meet project deadlines

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with renewable energy procurement structures, including power purchase agreements and renewable energy certificates
  • Experience working with large energy consumers, electric utilities, energy service providers, or energy consultancies in a data center or industrial context
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience coding in Python, SQL, or similar languages to automate data processing and build analytical pipelines
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience creating AI-native tooling and dashboards

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$132,000/year to $188,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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