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Remote Data Analyst Python Jobs in Pepperell, MA

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$150K - $200K/yr

This full-time, remote position allows you to leverage your expertise in the health and fitness ... Proficiency in data analysis tools and statistical software (e.g., Python, R) * Strong ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$120K - $150K/yr

... remote position. Based in Northborough, this role plays a crucial part in harnessing data to ... As an Oncology Data Specialist, you will be responsible for analyzing complex datasets, managing ...

MatrixSpace

Data Engineer

Burlington, MA · Remote

$145K - $180K/yr

If you're analytical, detail-oriented, and passionate about building robust data systems at scale ... This is NOT a fully remote position! * 4-6 years of experience as a Data Engineer, Backend Engineer ...

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All JobsData Analyst Python JobsRemote Data Analyst Python JobsRemote Data Analyst Python Jobs in Pepperell, MA

Remote Data Analyst Python information

See Pepperell, MA salary details

$34.9K

$84.9K

$139.8K

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 Pepperell, MA is $84,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $99,700.00 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 Pepperell, MA look for? The top searched job categories for Remote Data Analyst Python jobs in Pepperell, MA are:
Remote Data Analyst Python jobs near you
PV and Energy Storage Remote Operator & Data Analyst

PV and Energy Storage Remote Operator & Data Analyst

Ameresco

Westborough, MA • On-site, Remote

$30.77 - $44.47/hr

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago

Job description

Ameresco, Inc. (NYSE:AMRC) is a leading energy solutions provider dedicated to helping customers reduce costs, enhance resilience, and decarbonize to net zero in the global energy transition. We are a trusted, full-service partner to public sector and government entities, K-12 schools, higher education, utilities, and healthcare customers across the U.S., Canada, the U.K., and Europe.
At Ameresco, we show the way by developing, constructing and operating tailored smart energy efficiency solutions, distributed energy resources, and infrastructure upgrades that drive cost savings, resilience, decarbonization, and innovation. Our comprehensive portfolio is built to address the challenges of today and adapt the future, ensuring long-term sustainability and success for our customers.
Ameresco has an immediate opening for a highly analytical and detail-oriented Solar and Energy Storage Remote Operator & Data Analyst to support the monitoring, analysis, and optimization of Solar and Energy storage systems performance. Candidates must have an electrical engineering degree or electrical license with two years + of solar operations and maintenance experience.
Responsibilities:
  • Monitor real-time data from Solar and Energy Storage sites to identify anomalies, trends, and performance deviations.
  • Analyze system performance metrics to ensure optimal efficiency, reliability, and compliance with industry standards.
  • Ability to handle complex and critical issues in a timely manner.
  • Collaborate with technical teams to diagnose system issues and propose corrective actions.
  • The ability to remotely diagnose, troubleshoot, and reset equipment.
  • Utilize data visualization tools and software to present insights effectively to management and engineering teams.
  • Support predictive analytics models for performance forecasting and preventative maintenance planning.
  • Maintain and improve data integrity, ensuring accurate and timely documentation of all analytical findings.
  • Investigate historical trends to optimize system configurations and improve future deployments.

Minimum Qualifications:
  • Minimum of 2 years' experience with machine learning applications for predictive maintenance in PV and BESS systems.
  • Comfortable working independently, ensuring seamless handover to the next working shift.

Additional Qualifications:
  • Electrical engineering degree or electrical license with two years + of solar operations and maintenance experience.
  • Strong proficiency in data analysis tools such as Python, SQL, Excel, and visualization platforms (Power BI, Tableau).
  • Familiarity with SCADA systems, monitoring platforms, and renewable energy asset management software.
  • Excellent problem-solving skills with a keen eye for identifying inefficiencies and optimization opportunities.
  • Ability to interpret large datasets and translate findings into actionable insights for technical teams.
  • Strong written and verbal communication skills to articulate complex technical data in a concise manner.
  • Knowledge of grid-scale energy storage operations, market dynamics, and regulatory frameworks.
  • Certifications in energy analytics, data science, or renewable energy technologies.

The anticipated hourly range for this role is $30.77 - $44.47 per hour (presented in good faith). In addition to base pay, employees receive a comprehensive benefits package, such as health insurance, retirement plans, and paid time off, and may be eligible for performance incentives, bonuses, commissions, or equity, depending on the role.
Actual pay will depend on factors such as internal equity, skills, experience, education, certifications, and location. This range supports our commitment to pay transparency and compliance with applicable laws. Compensation may vary by work location, including remote arrangements.
We disclose salary ranges and benefits in all required external and internal postings and will provide further details upon request at any stage of the hiring process. Applications are accepted on a rolling basis until the position is filled.
#LI-SMC
Ameresco challenges the brightest, most talented, and creative individuals in the industry by providing an environment that fosters initiative and achievement. We are proud of our comprehensive and competitive employee benefits, including people-oriented insurance, investment, and incentive plans.
All official communications from Ameresco will originate from an @ameresco.com email address. Any correspondence from other domains should be regarded as fraudulent. Please report any suspicious activity to the platform where the issue was encountered. For further inquiries or concerns, please contact us at 1-866-AMERESCO
Ameresco is an Equal Opportunity Employer.

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