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Python Data Analyst Jobs in Connecticut (NOW HIRING)

Python Developer

Hartford, CT · On-site

$50.75 - $69.75/hr

Responsibilities : • Develop and maintain Python-based applications. • Write efficient SQL queries for data extraction, transformation, and analysis. • Optimize database performance and ...

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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.

Advanced Technology Quality Data Analyst (Hybrid)

East Hartford, CT • On-site

Raytheon Technologies
Guided Missile and Space Vehicle Manufacturing • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Key responsibilities

  • Develop and implement strategies to connect, map, and integrate quality data across operations, quality, and engineering functions.

  • Collaborate with cross-functional teams to define and execute a digital connectivity strategy for quality information.

  • Leverage data analytics tools and techniques to analyze quality data, identify trends, and provide actionable insights to improve product design and manufacturing processes.


RTX rating

8.2

Company rating: 8.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

38th 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 RTX

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing, it services, aerospace product and parts manufacturing and engineering professional services

Company size

10,000+ Employees

Headquarters location

Waltham, MA, US

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