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Remote Data Analyst Python Jobs in Canonsburg, PA

Build and maintain dashboards to track polling data, exporting key information to support internal ... Travel and educational opportunities This is a remote (work from home) role with preference for ...

Build and maintain dashboards to track polling data, exporting key information to support internal ... Travel and educational opportunities This is a remote (work from home) role with preference for ...

FP&A Analyst

Pittsburgh, PA ยท On-site +1

$70K - $80K/yr

Works closely with Accounting, Revenue and Operations, People/HR, and the Data & Analytics team, as well as departmental budget owners across the business. Location: Carlsbad, CA (Hybrid) or Remote ...

Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS: Bachelor ... data analysis, and using productivity tools including Excel VBA macros, Python, and SQL; and ...

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Senior Data Engineer

Pittsburgh, PA ยท On-site +1

$102K - $139K/yr

... analytics, and disease management. While our initial focus is cardiology, we are building a ... Possibly fully remote work environment with flexible hours * Health benefits, learning stipends ...

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Remote Data Analyst Python information

See Canonsburg, PA salary details

$31.2K

$75.9K

$125K

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

As of Sep 3, 2026, the average yearly pay for remote data analyst python in Canonsburg, PA is $75,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $89,100.00 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 Canonsburg, PA look for?

The top searched job categories for Remote Data Analyst Python jobs in Canonsburg, PA are:

What cities near Canonsburg, PA are hiring for Remote Data Analyst Python jobs?

Cities near Canonsburg, PA with the most Remote Data Analyst Python job openings:

Actuarial Analyst III, Value-Based Contract Analytics (Remote)

UPMC Health Plan

Pittsburgh, PA โ€ข On-site, Remote

Full-time

Posted 22 days ago


Key responsibilities

  • Produce detailed actuarial and financial models to project the financial performance of value-based programs.

  • Analyze healthcare claims cost and utilization trends to identify savings opportunities and support provider arrangements.

  • Present analysis findings and recommendations to leadership.


Job description

Purpose:
Shape the world of health care by joining UPMC! As a leader in the industry, we are committed to enhancing the lives of all who are a part of our community. Without our employees, we would not be able to innovate health care for our patients and health plan members. From hospitals to our corporate office, all UPMC employees impact our mission of creating life-changing medicine. To continue our tradition of excellence, we are in search of full-time Actuarial Analyst III to join this community as well.

The Department of Health Economics is seeking an Actuarial Analyst III. This experienced healthcare actuarial analyst would help drive high-visibility impactful analysis supporting medical cost improvement strategies for UPMC Health Plan. This includes analyzing medical cost utilization and unit cost data, identifying top trend drivers and affordability opportunities, developing and evaluating financial outcomes of value-based programs and presenting findings to leadership. This position may also direct or supervise less experienced actuarial students in the performance of duties.

The Actuarial Analyst III will require a diverse set of skills, including strong communication skills, sharp critical thinking abilities, and a curiosity for health economics and data analytics.

As an Actuarial Analyst III at UPMC, you will be given support to reach professional designations through our comprehensive student program. This is a work-from-home position located anywhere within the continental US.
Responsibilities:

  • Produce detailed actuarial and financial models which communicate near and long-term projections of financial performance of new and ongoing value-based programs to facilitate corporate decision-making and the development of strategies and goals.
  • Analyze healthcare claims cost and utilization trends for use in projections defining savings methodologies for provider arrangements such as ACO & PCMH contracts, global capitation, bundled rates, episodic payments, capitation, risk adjusted total cost of care, and value-based payments.
  • Apply analytical and statistical software tools to summarize large healthcare data to glean findings and actionable insights.
  • Forecast and interpret financial results, including variances from budget, to help identify medical cost improvement opportunities and potential risks as an individual or leading other analysts.
  • Develop and gain support for data-based recommendations with team members from product, clinical, network, and strategy functions.
  • Produce well-documented standard actuarial reports and projects.
  • Present results of analyses and recommendations to leadership.
  • Apply an understanding of complex actuarial concepts, methods, and applications in a variety of situations.
  • Creatively leverage a wide range of datasets to inform key analyses.
  • Collaborate with team members, including other healthcare actuaries, to ensure that work product meets the highest standards of quality.
  • Build strong relationships with Actuarial, Analytics, Reimbursement, Clinical, and Finance teams across the enterprise.
  • Provide analytical support for ad hoc data analyses.
  • Bachelor's degree in mathematics, statistics, actuarial science, economics or related field.
  • 3-5 years of experience in actuarial work in a health insurance, managed care or related consulting business.
  • Actively pursuing the ASA and/or FSA certification by Society of Actuaries.
  • 4 or more actuarial examinations passed.
  • Completion of Validation by Education Experience (VEE) credits or comparable college-level courses on micro and macroeconomics, introductory corporate finance, and applied statistical methods are preferred.
  • Excellent problem solving and analytical skills.

  • Excellent oral and written communication skills.

  • Strong PC skills, including experience in Microsoft Office Suite (Word, Excel, PowerPoint).
  • Data retrieval skills and relational database experience required, including SQL and/or SAS.
  • Ability to work independently.
    Licensure, Certifications, and Clearances:
  • Act 34


UPMC is an Equal Opportunity Employer/Disability/Veteran

Must be legally authorized to work in the United States, without requiring, now or in the future, sponsorship for employment visa status. UPMC does not participate in STEM OPT.