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Python Data Analyst Jobs in Connecticut (NOW HIRING)

PATRIOT BANK, N.A.

Credit Analyst

Stamford, CT · On-site

The analyst will be responsible for in-depth analysis and reporting on the Bank's loan portfolio ... Experience using Python data science libraries PHYSICAL DEMANDS The physical demands described here ...

PATRIOT BANK, N.A.

Credit Analyst

Stamford, CT · On-site

The analyst will be responsible for in-depth analysis and reporting on the Bank's loan portfolio ... Experience using Python data science libraries PHYSICAL DEMANDS The physical demands described here ...

Esprit Nexus Inc.

Business Analyst IT

Stamford, CT · On-site

$35 - $55/hr

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 ...

Esprit Nexus Inc.

Business Analyst IT

Stamford, CT · On-site

$35 - $55/hr

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 ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Connecticut

Python Data Analyst information

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$32.3K

$78.6K

$129.4K

How much do python data analyst jobs pay per year?

As of Jun 18, 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.

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.

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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
More about Python Data Analyst jobs
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:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Connecticut as of June 2026, with employment types broken down into 3% As Needed, 37% Full Time, 48% Part Time, 1% Temporary, 10% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $78,614 per year, or $37.8 per hour.
Data - Compliance Senior Analyst II

Data - Compliance Senior Analyst II

Interactive Brokers

Greenwich, CT • Hybrid

$96K - $121K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago

Be an early applicant

Job description

Company Overview

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.

IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.

Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.

This is a hybrid role (4 days in office / 1 day remote)

Interactive Brokers is looking for a motivated, data professional to support the implementation of Data Lineage and Data Governance efforts.

Responsibilities:

The Senior Compliance Data Analyst's primary focus will be to:

  • Support the continued adoption of the Interactive Brokers Data policies and procedures
  • Oversee governance efforts to strengthen data lifecycle management across the enterprise
  • Collaborate with technical and business stakeholders to strengthen data quality
  • Produce source to destination data maps for AML compliance reports and systems
  • Design periodic and adhoc supervisory reports and complete associated reviews
  • Guide and manage data incidents and remediation
  • Implement internal control enhancements and appropriately solution potential compliance matters
  • Assist coordinate responses to regulatory inquiries from foreign and US regulators
  • Draft and implement firm policies, controls and written supervisory procedures

Qualifications:

  • 5-7 years' experience with a broker-dealer, investment manager or regulator
  • Solid academic background with a Bachelors or Masters in Finance, Business, Economics, Computer Science, Data Sciences or Information Systems preferred
  • Experience with data catalog, business glossaries, mapping and metadata management tools
  • Experience with data classification and data loss protection policies and controls
  • Experience with triaging data incidents
  • Working knowledge of data related regulations for data management and data protection
  • Knowledge of UNIX, SQL, Python and databases is a plus
  • Ability to develop solutions that satisfy relevant regulations while executing sound business judgment
  • Ability to work both independently as well as in a small-team environment, and to multi-task with minimal supervision

To be successful in this position, you will have the following:

  • Self-motivated and able to handle tasks with minimal supervision
  • Superb analytical and problem-solving skills
  • Excellent collaboration and communication (verbal and written) skills
  • Outstanding organizational and time management skills

Company Benefits & Perks

  • Competitive salary, annual performance-based bonus, and stock grant
  • Retirement plan 401(k) with competitive company match
  • Excellent health and wellness benefits, including medical, dental, and vision coverage; company-paid medical healthcare premium
  • Wellness screenings and assessments, health coaches, and counseling services through an Employee Assistance Program (EAP)
  • Daily company lunch allowance and a fully stocked kitchen with healthy options for breakfast and snacks
  • Corporate events, including team outings, dinners, volunteer activities, and company sports teams
  • Education reimbursement and learning opportunities