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Freelance Python Data Analysis Jobs in Willimantic, CT

... 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 ...

... analysis and integration to support AI-driven initiatives - Utilizing programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ...

Lead Data Engineer - Hybrid

Hartford, CT · Hybrid

$117K - $175K/yr

You should also have experience in data analysis, requirements gathering, data modeling, and ... Experience with Python. * Experience with version control, CI/CD pipelines, and DevOps tools such ...

Lead Data Engineer - Hybrid

Hartford, CT · Hybrid

$117K - $175K/yr

You should also have experience in data analysis, requirements gathering, data modeling, and ... Experience with Python. * Experience with version control, CI/CD pipelines, and DevOps tools such ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

... Python and TensorFlow - Integrating data from various sources to create unified views for analysis - Building and maintaining data pipelines to support AI model deployment - Applying complex data ...

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

Strong knowledge of analysis tools such as Python, R, Spark or SAS, Shell scripting, R/Spark on Hadoop or Cassandra preferred. Strong knowledge of data pipelining software e.g., Talend, Informatica ...

Showing results 21-40

Freelance Python Data Analysis information

See Willimantic, CT salary details

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How much do freelance python data analysis jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for freelance python data analysis in Willimantic, CT is $55.49, according to ZipRecruiter salary data. Most workers in this role earn between $45.72 and $63.03 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.

What job categories do people searching Freelance Python Data Analysis jobs in Willimantic, CT look for?

The top searched job categories for Freelance Python Data Analysis jobs in Willimantic, CT are:

What cities near Willimantic, CT are hiring for Freelance Python Data Analysis jobs?

Cities near Willimantic, CT with the most Freelance Python Data Analysis job openings:

Advanced Technology Quality Data Analyst (Hybrid)

Pratt & Whitney

East Hartford, CT • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Pratt & Whitney rating

8.7

Company rating: 8.7 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies


Job description

Date Posted:

2026-06-24

Country:

United States of America

Location:

US-CT-EAST HARTFORD-RTRC R ~ 411 Silver Ln ~ RTRC R

Position Role Type:

Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Active and existing security clearance required after day 1

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

Are you ready to work at the cutting edge of aerospace manufacturing and inspection? Join our team as an Advanced Technology Quality Data Analyst and play a pivotal role in transforming how quality data is utilized to drive design decisions and improve processes across operations, quality, and engineering.

In this role, you will focus on connecting, mapping, and building integrations for quality data to create a streamlined flow of information that informs and enhances design decisions. You will also help define and implement the digital connectivity strategy for quality information, ensuring alignment with organizational goals and fostering innovation in aerospace manufacturing.

This role is requiring travel up to 25%.

What You Will Do:

  • Data Integration and Connectivity: Develop and implement strategies to connect, map, and integrate quality data across operations, quality, and engineering functions. Ensure data accuracy and accessibility to support informed design and decision-making.
  • Digital Connectivity Strategy: Collaborate with cross-functional teams to define and execute a digital connectivity strategy for quality information, aligning with the organization’s broader digital transformation goals.
  • Data Analytics and Insights: Leverage data analytics tools and techniques to analyze quality data, identify trends, and provide actionable insights to improve product design and manufacturing processes.
  • Collaboration and Communication: Partner with engineering, quality, and operations teams to ensure quality data is effectively utilized to inform design decisions and enhance product performance.
  • Continuous Improvement: Drive the development and implementation of processes and tools to continuously improve the collection, analysis, and application of quality data across the organization.


What You Will Learn:

  • Data-Driven Design: Gain expertise in leveraging quality data to influence and optimize design decisions for aerospace components.
  • Digital Transformation: Understand and contribute to the development of digital connectivity strategies that revolutionize quality management in aerospace manufacturing.
  • Collaborative Problem Solving: Develop skills in working across engineering, quality, and operations teams to solve complex challenges and implement innovative solutions.
  • Advanced Data Analytics: Enhance your ability to use advanced analytics tools to extract meaningful insights from complex datasets.

Qualifications You Must Have:

  • Bachelor’s degree (or equivalent experience) with 10+ years of experience in Data Analytics, Quality, Manufacturing Engineering, Operations, or a related field; or a Master’s degree with 7+ years of relevant experience.
  • Demonstrated experience in data analysis, data mapping, and building digital systems connectivity.
  • Expertise in Solumina, SAP, Net Inspect and other platforms leveraged by Quality.

  • Strong understanding of quality systems and their integration with engineering and manufacturing processes.
  • Proficiency in data analysis tools and enterprise database systems.
     

Qualifications We Prefer:

  • Knowledge or experience in aerospace manufacturing and inspection processes.
  • Proficiency with tools such as QLIK, Power BI, or similar data visualization platforms.
  • Expertise in SQL, Python, or other programming languages for data analysis and integration.
  • Experience in digital transformation projects within manufacturing or engineering environments.
  • Strong organizational and project management skills to drive cross-functional initiatives.

What is my Role Type?

In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is:

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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About Pratt & Whitney

Sourced by ZipRecruiter

Pratt & Whitney has a long history of leadership and innovation in the field of aviation propulsion. Our story begins in the 1920s and has flourished throughout the decades. We have continuously transformed and reinvented our businesses to offer superior products and services to our customers. In 1925, the Pratt & Whitney Aircraft Company was founded by Frederick B. Rentschler, pioneer of the air-cooled radial engine design which enabled unprecedented power-to-weight ratio. Its first engine, the R-1340 Wasp engine, transformed military and commercial aviation and is still in use today. In 1928, the Canadian division of the Pratt & Whitney Aircraft Company was established. In 1944, Pratt & Whitney began its gas turbine and jet propulsion initiative. The company constructed a wind tunnel, laboratory and engineering center to support our allies’ efforts in World War II. In 1945, wartime production included more than 300,000 Pratt & Whitney engines, touted by service members as extremely dependable – a legacy that continues today. From there, Pratt & Whitney continued to design and innovate more powerful, agile, and reliable engines becoming a leader in the aerospace industry. Today, Pratt & Whitney has more than 85,000 engines in service and more than 16,000 customers worldwide.

Industry

Engineering professional services

Company size

10,000+ Employees

Headquarters location

East Hartford, CT, US