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Python Data Analysis Jobs in Connecticut (NOW HIRING)

PYTHON, SCRIPTING, SHELL SCRIPTING, SHINY, UNIX, UNIX/LINUX, VISUALIZATION, WRITING PROTOCOLS, DATA ANALYSIS, DATA INTEGRATION, DATA MINING, DATA VISUALIZATION, DATASETS, DRUG DISCOVERY, INTEGRATION ...

... analytics. The Data Science Consultant role involves solving data problems end to end, utilizing ... as Python or R • Understanding of the strategic application of data science methodologies in ...

Senior Data Scientist II

Norwalk, CT · On-site +1

$175.78K - $183.50K/yr

... in Python, R, or other relevant languages for data analysis to perform day-to-day activities like exploratory data analysis, model development, and testing & deployment. * Employee reports to ...

New

Required: o Superb programming experience in Python o Excellent ML modeling skills o Advanced understanding of predictive and prescriptive analytics and data visualization. o Strong leadership skills ...

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Python Data Analysis information

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$12

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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.
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 cities in Connecticut are hiring for Python Data Analysis jobs? Cities in Connecticut with the most Python Data Analysis job openings:
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.
Principal Data Analyst- Commercial Banking

Principal Data Analyst- Commercial Banking

Citizens

Shelton, CT • Hybrid

$140K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description

Description

The Principal Data Analyst - Commercial Banking is a senior, individualcontributor role supporting Commercial Banking. This role serves as a analytics partner across Commercial Banking with a primary focus on enabling data and analytics that support customer onboarding, customer servicing, and treasury management.

This position works closely with teams supporting finance, sales, origination, underwriting, and servicing systems, as well as core banking platforms, to ensure analytics solutions are aligned to Commercial Banking processes, systems, and transformation goals.

Key Responsibilities

  • Partner with Product, Technology, Operations, and Data Engineering teams aligned to Origination systems, Underwriting platforms, Servicing systems, Financial reporting systems, CRM.

  • Translate Commercial Banking business and operational requirements into analytical requirements, metrics, and insights.

  • Deliver full customer life cycle analytics, supporting - Customer onboarding journeys, Ongoing customer servicing, Treasury management capabilities & usage, Customer Profitability & Pricing.

  • Perform complex data analysis across large, multisource Commercial Banking datasets.

  • Design and develop analytical datasets, KPIs, and reporting aligned to RTB outcomes.

  • Identify data quality, completeness, and lineage issues; partner with data engineering teams to remediate.

  • Provide analytical input and support for Commercial Banking system modernization efforts.

  • Communicate insights and recommendations clearly to senior business and technology stakeholders.

  • Ensure analytics solutions comply with enterprise data governance, risk, and control standards.

Required Qualifications

  • 8+ years of experience in data analytics, or advanced analytics roles working with cloud compute infrastructure including AWS and/or Snowflake

  • Demonstrated experience supporting Commercial Banking or Corporate Banking business functions.

  • Handson experience working with origination, underwriting, and servicing systems.

  • Experience supporting analytics for customer onboarding, customer servicing, and treasury management.

  • Strong experience with core banking platforms and associated Commercial Banking ecosystems.

  • Advanced SQL & Python programming skills and experience working with large, complex enterprise datasets.

  • Proven ability to translate business needs into analytical solutions.

  • Strong written and verbal communication skills with experience engaging senior stakeholders.

  • Demonstrated experience leading impactful strategic data & analytics program(s), as well as coaching and mentoring junior colleagues.

Preferred Qualifications

  • Experience supporting largescale transformation or modernization programs.

  • Familiarity with data engineering concepts, data modeling, and analytical product delivery.

  • Experience working in Agile or productoriented delivery environments.

  • Experience in regulated financial services environments.

  • Some experience with statistical learning / econometrics / machine learning.

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • 4 days per week on-site, 1 day remote

Pay Transparency

The salary range for this position is $140,000-$170,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits .

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Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST