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Python Data Analysis Jobs in Connecticut (NOW HIRING)

Oxbridge Health

Data Analyst

Norwalk, CT · On-site

Bachelor's degree ideally in a quantitative field, such as statistics, mathematics, economics, or computer science. * 1-2 years of experience using Python (pandas/numpy) for data analysis, including ...

FAVARH

Data Scientist

Hartford, CT

$109K - $136.25K/yr

Full proficiency with machine learning and advanced analytics methods * Strong skills in SQL, Python, data visualization, PySpark, and data wrangling on cloudbased data platforms * Solid business ...

Voya Financial, Inc.

Data Scientist

Hartford, CT · On-site

$109K - $136.25K/yr

Full proficiency with machine learning and advanced analytics methods * Strong skills in SQL, Python, data visualization, PySpark, and data wrangling on cloud-based data platforms * Solid business ...

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Write efficient and scalable code using Python and related frameworks. * Use SQL to query, transform, and analyze structured data. * Collaborate with cross-functional teams including product ...

Icon Health

Senior Data Analyst

Stamford, CT · On-site +1

$91.70K - $115.70K/yr

Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights within ... Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is ...

STI

Data Scientist

Hartford, CT · On-site

... SQL, Python, R, and Scala • Using analytics software and platforms (GA, GTM, SPSS, Excel ... Experience in data collection from on-prem and cloud platforms like Microsoft, Azure, and ...

Tsunami Tsolutions

Python Developer

Glastonbury, CT · On-site

$50.25 - $69.25/hr

Tsunami Tsolutions is seeking a motivated Python Developer to join its Application Development ... This role aims to combine the candidates data and analytics skills with internal and customer ...

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How much do python data analysis jobs pay per hour?

As of May 29, 2026, the average hourly pay for python data analysis in Connecticut is $55.77, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $63.37 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.
More about Python Data Analysis jobs
What are the most commonly searched types of Python Data Analysis jobs in Connecticut? The most popular types of Python Data Analysis jobs in Connecticut are:
What are popular job titles related to Python Data Analysis jobs in Connecticut? For Python Data Analysis jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Connecticut look for? The top searched job categories for Python Data Analysis jobs in Connecticut are:
What cities in Connecticut are hiring for Python Data Analysis jobs? Cities in Connecticut with the most Python Data Analysis job openings:
Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Connecticut as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $115,993 per year, or $55.8 per hour.

Python Data Engineer

Texas State Library and Archives Commision

Hartford, CT • On-site

$115.50K - $138.70K/yr

Contractor

Posted 10 days ago

Job description

Job Description:
We are looking for a skilled Python Data Engineer with hands-on experience in Azure, PySpark, and Databricks, specifically within the insurance domain. This is a hybrid, long-term contract position requiring a mix of remote and onsite work in either Hartford, CT or Charlotte, NC. The ideal candidate will be responsible for building, optimizing, and maintaining data pipelines and supporting data-driven decision-making across the organization.
Key Responsibilities:
  • Design and develop scalable and robust data pipelines using PySpark and Python.
  • Leverage Azure Data Services (e.g., Azure Data Factory, Azure Data Lake, Azure Synapse) for data integration and transformation.
  • Utilize Databricks for distributed data processing, data wrangling, and advanced analytics.
  • Ensure data quality, integrity, and compliance with data governance and security policies.
  • Collaborate with cross-functional teams, including business analysts, data scientists, and application developers.
  • Participate in performance tuning, troubleshooting, and optimization of data workflows.
  • Translate business requirements into technical specifications, especially within the insurance industry context.
  • Develop and maintain documentation for data pipelines and architecture.

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