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Senior Python Data Analyst Jobs in Windsor, CT (NOW HIRING)

Job Title: Sr. Data Analyst Type: Contract Duration: 6+ months Location: Windsor, CT Rate: $45-50/hr on C2C or 1099 and $44/hr on W2 without benefits Consultant need to work on USM W2 ...

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

Title: IT - Data Analyst Location: One Hartford Plaza, Hartford, CT 06155 Duration: 6+ Months The ... Sr. Business Data Consultant to join us. The ideal candidate will demonstrate exceptional ...

The Senior Data Scientist leads the integration and application of advanced data analytics to solve ... Java and Python. Demonstrated ability to use Share Point, Tableau, Redmine, and other systems ...

The Senior Data Scientist leads the integration and application of advanced data analytics to solve ... Java and Python. Demonstrated ability to use Share Point, Tableau, Redmine, and other systems ...

The Senior GEOINT Data Scientist will leverage their strong technical background and knowledge to ... HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis ...

In addition to analytical support functions, this position would also support business case ... Proficient programming skills in one or more languages (Python, Spark, SQL). * Knowledge ...

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Senior Python Data Analyst information

See Windsor, CT salary details

$54.8K

$98.8K

$134.9K

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

As of Aug 19, 2026, the average yearly pay for senior python data analyst in Windsor, CT is $98,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $108,000.00 per year, depending on experience, location, and employer.

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

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What job categories do people searching Senior Python Data Analyst jobs in Windsor, CT look for?

The top searched job categories for Senior Python Data Analyst jobs in Windsor, CT are:

What cities near Windsor, CT are hiring for Senior Python Data Analyst jobs?

Cities near Windsor, CT with the most Senior Python Data Analyst job openings:

Infographic showing various Senior Python Data Analyst job openings in Windsor, CT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 4% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $98,786 per year, or $47.5 per hour.

Senior Python Data Engineer

Accord Technologies Inc.

Hartford, CT • Remote

$117K - $140K/yr

Contractor

Re-posted 16 days ago


Job description

Job Title: Sr. Python Data Engineer (Python, MongoDB, PowerBI and Data Extraction, ability to write code)
Location: Hartford, CT
Position type: W2 contract 
Duration: 12+ months extendable.

Mandatory skills:
Strong Python candidate having exp in Mondo DB, PowerBI and Data ExtractionOverview

We are seeking a motivated and skilled Data Engineer to join our team. The ideal candidate will have strong proficiency in Python, knowledge of MongoDB, and experience with Power BI. This role will primarily focus on building data extracts and data feeds for downstream systems, including Ledger, Reporting, and Boudreaux. You will be responsible for writing the code necessary to deliver the required data based on predefined definitions

Responsibilities:

  •  Data Extraction and Transformation: Write efficient and scalable Python code to extract and transform data from various sources, ensuring it meets the requirements for downstream systems.
  • MongoDB Management: Utilize MongoDB for storing and managing data. Design and optimize data models and queries to ensure high performance and reliability.
  • Power BI Integration: Collaborate with stakeholders to deliver data in a format suitable for reporting and visualization in Power BI. Ensure that the data aligns with business needs and reporting requirements.
  • Data Feed Development: Develop and maintain data feeds for downstream systems, including Ledger and Boudreaux, ensuring timely and accurate data delivery.
  • Collaboration with Stakeholders: Work closely with business analysts and other stakeholders to understand data definitions and requirements, translating them into technical specifications.
  • Documentation: Maintain comprehensive documentation of data pipelines, data models, and technical specifications to support knowledge sharing and compliance.
  • Quality Assurance: Implement data validation and quality checks to ensure the accuracy and integrity of the data being delivered.

Requirements:

  • Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • Minimum of 9 years of experience in data engineering or a related field.
  • Strong experience in Python programming, particularly in data manipulation and ETL processes.
  • Solid knowledge of MongoDB and experience in database design and management.
  • Familiarity with Power BI for creating reports and dashboards.
  • Experience in building data extracts and feeds for business applications.
  • Analytical Skills: Strong analytical and problem-solving skills with a focus on delivering high-quality data solutions.
  • Communication: Excellent verbal and written communication skills, with the ability to clearly convey technical concepts to both technical and non-technical stakeholders.
  • Team Player: Ability to work collaboratively in a fast-paced, team-oriented environment.