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Python Data Analyst Jobs in Connecticut (NOW HIRING)

... Experience using Python for data profiling and analysis (e.g., Pandas, NumPy). • Hands-on experience with AI/LLM platforms and tooling, and familiarity applying foundation models, prompt ...

... Experience using Python for data profiling and analysis (e.g., Pandas, NumPy). • Hands-on experience with AI/LLM platforms and tooling, and familiarity applying foundation models, prompt ...

... or Python. · Define and review test plans to ensure coverage of operating envelope when testing ... Support data analysis and root cause analysis of in-service issues to identify improved and ...

... Experience using Python for data profiling and analysis (e.g., Pandas, NumPy). • Hands-on experience with AI/LLM platforms and tooling, and familiarity applying foundation models, prompt ...

... or Python. • Define and review test plans to ensure coverage of operating envelope when testing ... Support data analysis and root cause analysis of in-service issues to identify improved and ...

Experience with analytical and statistical software * Proficient using data science toolkits such as Python * Comprehensive SQL skills * Strong analytical and problem-solving skills, attention to ...

Data Product Owner

Hartford, CT · On-site

$210K/yr

Work with the Data Analyst and Data Engineer to troubleshoot any issues/data discrepancies. Guide ... Using visualization tools such as Power BI and programming languages such as SQL/R/Python; and ...

Data Product Owner

Hartford, CT · On-site +1

$210K/yr

Work with the Data Analyst and Data Engineer to troubleshoot any issues/data discrepancies. Guide ... Using visualization tools such as Power BI and programming languages such as SQL/R/Python; and ...

Be Seen First

The ideal candidate will have strong data analysis skills, the ability to validate and troubleshoot ... Basic understanding of programming concepts (Ruby, Python, or Java preferred). * Excellent ...

Be Seen First

The ideal candidate will have strong data analysis skills, the ability to validate and troubleshoot ... Basic understanding of programming concepts (Ruby, Python, or Java preferred). * Excellent ...

Showing results 41-60

Python Data Analyst information

See Connecticut salary details

$32.3K

$78.6K

$129.4K

How much do python data analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for python data analyst in Connecticut is $78,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python data analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What are the most commonly searched types of Python Data Analyst jobs in Connecticut?

The most popular types of Python Data Analyst jobs in Connecticut are:

What are popular job titles related to Python Data Analyst jobs in Connecticut?

For Python Data Analyst jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Python Data Analyst jobs in Connecticut look for?

The top searched job categories for Python Data Analyst jobs in Connecticut are:

Infographic showing various Python Data Analyst job openings in Connecticut as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 12% Part Time, 1% Temporary, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $78,614 per year, or $37.8 per hour.

Business Intelligence Analyst

Stamford, CT • On-site

Point72
Finance and Insurance • 501 - 1,000 employees

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Point72 is a leading global alternative investment firm, and they are seeking a Business Intelligence Analyst to design, build, and deploy intelligent workflows that transform multimodal data into insights. The role involves partnering with stakeholders to identify operational improvements, ensuring compliance, and monitoring emerging AI tools.
Responsibilities:
• Partner with business stakeholders to identify operational improvement opportunities and design AI-driven automations and integrations that meaningfully improve day-to-day work.
• Maintain thorough documentation, testing, and audit trails to ensure all outputs are verifiable and meet firm-wide accuracy and compliance standards.
• Serve as a knowledgeable point of contact for business teams, helping translate AI capabilities into clear, actionable value.
• Monitor emerging AI tools and techniques and proactively identify practical opportunities for adoption.
• Collaborate closely with senior team members, business stakeholders, and product and engineering partners to deliver high-quality solutions.
Qualifications:
Required:
• Master’s degree in data science, decision science, I/O psychology, or a related quantitative field.
• 3+ years of experience in a data analyst, business analyst, or technical product role.
• Proficiency in writing and optimizing complex queries using SQL.
• Experience using Python for data profiling and analysis (e.g., Pandas, NumPy).
• Hands-on experience with AI/LLM platforms and tooling, and familiarity applying foundation models, prompt engineering, and AI-powered platforms to real business problems.
• Strong analytical foundations and AI fluency, regardless of industry background.
• Ability to explain AI-driven concepts and solutions to both technical and non-technical audiences.
• Demonstrated bias toward action, with a proven ability to drive efficiency and operate effectively in evolving, complex environments.
• Excellent problem-solving abilities, intellectual curiosity, and disciplined analytical skills, with a proven ability to identify, diagnose, and resolve data quality and integrity issues.
• Commitment to the highest ethical standards.
Company:
Point72 invests in multiple asset classes and strategies worldwide. Founded in 2012, the company is headquartered in Stamford, USA, with a team of 1001-5000 employees. The company is currently Late Stage.