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Remote Data Analyst Python Jobs in Bridgeport, CT

Senior Data Analyst

Stamford, CT ยท On-site +1

$91K - $115K/yr

Remote Reports To: SVP, Data and Technology Who We Are Icon Health is a leading provider of value ... Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is ...

Senior Data Analyst

Stamford, CT ยท Remote

$88K - $111K/yr

Remote Reports To: SVP, Data and Technology Who We Are Icon Health is a leading provider of value ... Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is ...

Senior Data Analyst

Stamford, CT ยท Remote

$91K - $115K/yr

Remote Reports To: SVP, Data and Technology Who We Are Icon Health is a leading provider of value ... Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is ...

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Data Analyst

Greenwich, CT ยท Remote

$22 - $23/hr

Ability to support others, helping a team be successful. โ€ข Experience analyzing data, generating ... Remote Job Type : Full-Time hourly (non- exempt) EB Employee Solutions, LLC is an Equal Opportunity ...

Proficiency in SQL, Python or R * Understanding of design and implementation practices within data ... Demonstrated ability to analyze, interpret and present data * Ability to make decisions and solve ...

Senior Data Engineer

Stamford, CT ยท Remote

$113K - $153K/yr

Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

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Remote Data Analyst Python information

See Bridgeport, CT salary details

$34.6K

$84K

$138.3K

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

As of Jul 9, 2026, the average yearly pay for remote data analyst python in Bridgeport, CT is $84,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $98,600.00 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 Bridgeport, CT look for? The top searched job categories for Remote Data Analyst Python jobs in Bridgeport, CT are:
Senior Data Analyst

Senior Data Analyst

Icon Health

Stamford, CT โ€ข On-site, Remote

$91K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Job description

Job Title: Senior Data Analyst
Location: Remote
Reports To: SVP, Data and Technology
Who We Are
Icon Health is a leading provider of value-based musculoskeletal (MSK) care, partnering with payers and providers to improve outcomes and reduce total cost of care. Our model combines technology-enabled MSK providers, proactive care coordination, and decision support services to deliver multidisciplinary, evidence-based care.
We founded Icon Health on the belief that patients should be genuinely delighted with their care. Through team-based approaches, shared goals, and patient-centered design, we aim to transform a fragmented healthcare system into one that works better for everyone-especially patients and their clinical teams.
We operate with a culture of bold thinking, rapid iteration, and practical execution. We value team members who thrive in vertically integrated environments where ideas move quickly from concept to action, and where no task is too big or too small if it contributes to better outcomes.
Who You Are
You're a thoughtful, detail-oriented analyst who gets excited about using data to solve complex problems and tell clear, actionable stories. You bring rigor, structure, and curiosity to every question you tackle. Whether you're pulling claims data, building dashboards, or modeling performance trends, you're motivated by clarity, impact, and usefulness.
You're collaborative by nature, and you thrive in cross-functional teams where you can connect the dots between technical systems, clinical operations, and business strategy. You're also comfortable in ambiguity and proactive in finding solutions when there isn't a pre-set path.
What You'll Do
  • Collaborate across clinical, product, and operations teams to scope and execute analytics projects, define reporting needs, and translate business questions into data driven answers.
  • Analyze structured healthcare data (e.g., claims, eligibility, prior authorization) to identify trends, monitor KPIs, and support clinical and operational initiatives.
  • Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights within medical claims data that inform hypothesis generation and strategic initiatives
  • Develop and maintain dashboards, visualizations, and recurring reports to provide transparency into performance and outcomes.
  • Document methodologies, assumptions, and limitations for all analyses to ensure clarity and reproducibility.
  • Contribute to a data culture that prioritizes accuracy, transparency, and business relevance.
What You'll Bring
None of these are strict requirements-we're looking for strong problem-solvers who can learn and grow in the role.
  • 5-7 years of experience in data analysis, healthcare analytics, business intelligence, or a similar role.
  • Experience working with healthcare data (e.g., claims, eligibility, HCCs, risk adjustment).
  • Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is a plus.
  • Experience with data visualization tools (e.g., Looker, Tableau, or similar).
  • Strong Excel/Google Sheets skills for quick-turn modeling and reporting.
  • Comfort working with ambiguity and evolving data sources; ability to validate, reconcile, and QA your own work.
  • Strong communication skills-you can translate complex analysis into clear narratives for non-technical stakeholders.
  • A mindset of ownership, humility, and continuous improvement.
What We Offer
  • Impact: Shape how care is measured, improved, and delivered to real patients and providers.
  • Agility: Join a nimble team where your ideas can move quickly from concept to action.
  • Flexibility: Work remotely from anywhere in the United States.
  • Compensation: Competitive salary commensurate with experience.
  • Benefits: Full medical/dental/vision, PTO, and employee-funded 401(k).

Icon Health is proud to be an Equal Opportunity Employer. We are committed to
building a diverse and inclusive team.
We welcome candidates from diverse backgrounds; however, this position requires U.S.
work authorization and we are not able to provide visa sponsorship at this time.
Important Notice: Protect Yourself from Recruitment Fraud
To ensure you are communicating with a legitimate Icon Health representative, please not
  • Verified Communication: All official emails from our team will only come from an @iconhealthco.com email address.
  • Live Interviews: We never hire based on text or chat alone. Our multi-stage interview process always involves several live conversations with our team members via phone and/or web conference.
  • Your Privacy: We will never ask for sensitive financial information, home office equipment fees, or payment at any point during the hiring process.

If you receive a suspicious request or an email from a different domain claiming to represent Icon Health, please do not engage