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Python Data Analyst Jobs in Connecticut (NOW HIRING)

Proven programming, statistics, and data analysis skills (e.g., Python, SQL, R) * Strong analytical thinking and a demonstrated interest in solving complex problems * Excellent written and verbal ...

Proven programming, statistics, and data analysis skills (e.g., Python, SQL, R) * Strong analytical thinking and a demonstrated interest in solving complex problems * Excellent written and verbal ...

Experience using Python for data profiling and analysis (e.g., Pandas, NumPy). * Hands-on experience with AI/LLM platforms and tooling, and familiarity applying foundation models, prompt engineering ...

Experience using Python for data profiling and analysis (e.g., Pandas, NumPy). * Hands-on experience with AI/LLM platforms and tooling, and familiarity applying foundation models, prompt engineering ...

Senior Media Analyst

Norwalk, CT · On-site

$88K - $116K/yr

Strong proficiency in data analysis, modeling, and visualization tools (e.g., Excel, Power BI/Tableau, SQL, Python) for data extraction, transformation, analysis, and workflow automation * Hands-on ...

... 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 ...

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 ...

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 ...

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

... data analytics * 0-2 years of programming experience Skills * Basic experience developing Logistic Regression, Random Forest, and XGBoost models in Python * Interpersonal, verbal and written ...

Showing results 41-60

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 Aug 20, 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 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 August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $78,614 per year, or $37.8 per hour.

AVP, Analytics - Health & Wellness Sales

Synchrony

Stamford, CT • On-site

Full-time

Re-posted 3 days ago


Job description

Role Summary/Purpose:

The AVP, Analytics - Health & Wellness Sales is a senior individual contributor responsible for delivering analytics and performance measurement, actionable insights, and root cause analyses to the leaders of four B2B inside and outside sales teams collectively overseeing 200+ employees who support 280,000+ healthcare providers offering Synchrony financing solutions.

Partnering closely with sales enablement and sales leadership, this role drives goal setting and attainment tracking, develops and measures data-driven selling initiatives, and owns the provider performance data mart and the executive dashboards that underpin Health & Wellness sales reporting. This role also provides dotted-line direction and coaching to India-based analytics resources supporting the team. Deliverables receive regular visibility from senior leadership team in Health & Wellness platform, including the divisional CEO, making accurate, timely, and executive-ready insights a requirement of the role.

Essential Responsibilities:

  • Lead performance measurement and support for four B2B sales teams, including goal setting, KPI definitions, and executive dashboards.

  • Partner with Sales Enablement team, sales leaders and others, to design, implement, and measure outcomes of data-driven selling solutions and field initiatives.

  • Identify growth opportunities and answer business questions, develop analytical frameworks and business cases, and present recommendations to leadership.

  • Perform deep-dive analyses, and create executive-ready materials that communicate insights clearly to technical and non-technical audiences.

  • Daily use of SAS and SQL to analyze structured and unstructured data sources that evolve over time, involving significant data staging, hygiene, and consolidation work.

  • Own the provider performance data mart and reporting layer (e.g., datasets, feeds, metric definitions, views), including data quality, troubleshooting, and enhancements.

  • Translate business requirements into clear metrics, reporting, and analytics deliverables; ensure consistent definitions and governance.

  • Drive operational efficiency and standard processes for analytics delivery; coordinate work with offshore analytics support as needed.

  • Perform other duties and special projects as assigned.

Qualifications/Requirements:

  • Bachelor's degree and 5+ years of professional analytics experience with demonstrated business impact; or in lieu of a Bachelors Degree, a High School Diploma/GED and 9+ years of analytics experience.

  • 3+ years of hands-on programming/data mining using SAS and SQL (building datasets, not only querying).

  • MS Excel

  • Demonstrated experience supporting commercial stakeholders (e.g., sales, marketing, finance, credit risk, client teams) by synthesizing insights from structured analyses to inform business decisions and communicating with stakeholders in an effective manner

  • Experience leading large, multi-stakeholder analytics initiatives end-to-end (requirements build insights adoption)

  • Strong executive communication skills (ability to influence decisions using data, and present to senior leaders).

  • Experience working with BI/reporting tools (e.g., Tableau).

  • Ability and flexibility to travel for business as required

Desired Characteristics:

  • Experience with analytics in consumer banking/consumer lending environments.

  • Statistics/decision science, predictive analytics, or test-and-learn measurement experience.

  • Familiarity with modern data/analytics tooling on cloud platforms (e.g., AWS ecosystem).

  • Knowledge of consumer lending products and portfolio-level performance concepts.

  • Understanding of B2B sales measurement/forecasting concepts.

  • Hands-on programming/data mining using Python (building datasets, not just querying).

  • Hands-on experience with Salesforce UI for reporting and data extracts.

Grade/Level: 11

The salary range for this position is 115,000.00 - 200,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Our Way of Working:

We're proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices.You will be required to commute to your nearestHub (either virtual or physical) for in-person engagement activities such as regularbusiness or team meetings, training and culture events.

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.

Eligibility Requirements:

  • You must be 18 years or older

  • You must have a high school diploma or equivalent

  • You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

  • New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Our Commitment:

When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard - but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We're proud to have an award-winning culture for all.

Reasonable Accommodation Notice:

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am - 5pm Monday to Friday, Central Standard Time

Job Family Group:

Data Analytics