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Remote Data Analyst Python Jobs in Bridgeport, CT

Odyssey

Data Protection Specialist

Stamford, CT · Remote

The Data Protection Specialist will focus on providing analysis and engineering support for the ... This is a 6 month contract-to-hire position, eligible for remote work in the United States.

Acess Global

Reporting FRA Analyst

Stamford, CT · Remote

Remote * Own and execute daily / monthly production of FR 2052a, FRY14, FRY15 liquidity reports ... Conduct data quality checks, reconciliations, and variance analysis against prior submissions and ...

BMG360

Media Analyst

Shelton, CT · On-site +1

$65K/yr

Hybrid Remote Role** BMG360 is looking for a talented, critical thinker, with a passion for ... Bachelor's degree (Finance, Data Analytics, Mathematics, Statistics (or other quantitative focus ...

Gartner

Director, Data Science

Stamford, CT · Remote

Translate quantitative analysis into actionable strategies, pitch high-impact ideas, and influence ... Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ...

Cleaning Contracts

Sales Analyst

Fairfield, CT · On-site +1

$75K - $95K/yr

🔍 About the Role We're seeking a data-driven Sales Analyst with sharp business acumen and a ... Hybrid flexibility (office presence encouraged for collaboration, remote options available)

ggi

Commercial Analytics Senior Manager

Brookfield, CT · Remote

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Proficient in Python or R and SQL, with experience across structured and unstructured data formats.

ggi

Commercial Analytics Senior Manager

Brookfield, CT · Remote

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Proficient in Python or R and SQL, with experience across structured and unstructured data formats.

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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 10, 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:
Remote Data Analyst Python jobs near you
Data Protection Specialist

Data Protection Specialist

Odyssey

Stamford, CT • Remote

Other

Posted 10 days ago

Job description

Odyssey Reinsurance Company (OdysseyRe) is the global reinsurance arm of Odyssey Group, one of the world's leading providers of reinsurance and specialty insurance. OdysseyRe offers a broad range of property, casualty, and specialty reinsurance products, providing capital and risk management solutions for clients to efficiently manage economic risk through a network of branch and representative offices across North America, Latin America, EMEA (Europe, Middle East & Africa), AsiaPacific and London.

OdysseyRe is an equal opportunity employer with excellent benefits and a strong commitment to providing training and opportunities for our staff. We provide employees an innovative, enriching environment and take great pride in their career growth.

OdysseyRe is rated A+ (Superior) by AM Best and AA- (Very Strong) by Standard and Poor's. Odyssey Group is a subsidiary of Fairfax Financial Holdings Limited, which is traded on the Toronto Stock Exchange under the symbol FFH.

Data Protection Specialist 

Position Summary: The Data Protection Specialist will focus on providing analysis and engineering support for the Data Protection Office. This includes primary responsibility of triaging Data Discovery events, DLP events, supporting data discovery efforts, gathering unique business sensitive data patterns, and implementing detection rules/policies for Auto Data Classification/DLP/File Level Encryption. The position will also serve as a backup to the Data Protection Lead. 

This is a 6 month contract-to-hire position, eligible for remote work in the United States. 

Essential Functions: 

  • Provide engineering support for Data Discovery, DLP, and Data Classification systems which include implementing detection rules, reducing false positive detections, deploying and maintaining tools. 

  • Analyze Data Discovery, DLP, and Data Classification events and formulate metrics to indicate areas of concern. 

  • Coordinate with business units to gather business requirements such as unique sensitive data patterns, whitelist of authorized entities, and establish controls with least business impacts.  

  • Building reports/automations to address key business concerns on data protection issues 

  • Assist in addressing Data Protection control audits. 

Skills, Knowledge & Abilities: 

  • Varonis SaaS engineering and analysis experience is a must 

  • Microsoft Purview, Netskope or other DLP engineering and analysis experience  

  • Microsoft Purview Information Protection engineering and analysis experience  

  • Familiar with Keyword, Regex, Exact Data Matching (EDM) methodology for policy development 

  • Power BI/Tableau experience is a plus 

  • Business Relationship Management experience  

  • General knowledge of NIST, ISO 27001, CIS standards 

Education/Experience: 

  • Bachelor's Degree preferred 

  • Minimum of 3-4 years of experience in Data Security and/or Data Governance 

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