ZipRecruiter

Log In

1

Financial Analyst Python Jobs in Connecticut (NOW HIRING)

CFS

Financial Analyst (hybrid)

Hartford, CT · Hybrid

$120K - $130K/yr

Job Title: FP&A Financial Specialist (Hybrid - Hartford, CT) Overview: A highly stable and well ... Experience with Python and data analytics tools preferred * Exposure to Oracle, Hyperion, or ...

CFS

FP&A / Financial Data & Reporting Lead

Hartford, CT · Hybrid

$86K - $107K/yr

... f5f5f5; } FP&A / Financial Data & Reporting Lead Location: Hartford (Hybrid - 3 days onsite ... preferred (Python a plus) #FPandA #PowerBI #FinancialAnalytics #FinanceJobs #DataDriven ...

CFS

FP&A Specialist

Hartford, CT · Hybrid

Work on cutting-edge AI and automation initiatives in finance * Strong mix of strategy, analytics ... Python is a huge plus #FPandA #FinancialPlanning #FinanceJobs #PowerBI #DataAnalytics ...

Talcott Financial Group

Senior Risk Analyst

Hartford, CT · On-site

$107K - $127K/yr

... financial analytics * An ASA, FSA, or CFA designation is a plus * Proficiency in Excel, VBA, and SQL are required * Experience with Python, Power BI, or similar tools for automation and data ...

Munich Re

FP&A Financial Specialist

Hartford, CT · On-site

The analyst will lead validation efforts for Oracle PCM, develop advanced Power BI models, and co ... Python experience preferred * Familiarity with EPM tools such as Oracle Enterprise Planning ...

Munich Re

FP&A Financial Specialist

Hartford, CT · On-site

The analyst will lead validation efforts for Oracle PCM, develop advanced Power BI models, and co ... Python experience preferred * Familiarity with EPM tools such as Oracle Enterprise Planning ...

Munich RE

FP&A Financial Specialist

Hartford, CT · On-site

The analyst will lead validation efforts for Oracle PCM, develop advanced Power BI models, and co ... Python experience preferred * Familiarity with EPM tools such as Oracle Enterprise Planning ...

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

The ideal candidate will have strong experience in AI/ML development, Agentic AI systems, Python ... Design, develop, and deploy machine learning and AI-driven solutions for business and financial ...

next page

Showing results 1-20

All JobsFinancial Analyst Python JobsFinancial Analyst Python Jobs in Connecticut

Financial Analyst Python information

See Connecticut salary details

$36.6K

$83.8K

$112.3K

How much do financial analyst python jobs pay per year?

As of Jul 9, 2026, the average yearly pay for financial analyst python in Connecticut is $83,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $105,100.00 per year, depending on experience, location, and employer.

What is a Financial Analyst Python job?

A Financial Analyst Python job involves using Python to analyze financial data, build models, automate reporting, and support decision-making. Analysts leverage libraries like Pandas, NumPy, and Matplotlib to clean, visualize, and interpret financial trends. They may work on budgeting, forecasting, risk assessment, or algorithmic trading. Python helps streamline data processing, improve accuracy, and enhance financial insights.

Do financial analysts use Python?

Financial analysts often use Python for data analysis, modeling, and automation due to its powerful libraries like pandas, NumPy, and scikit-learn. Proficiency in Python can enhance efficiency and accuracy in financial tasks, making it a valuable skill for the role.

What are the typical daily responsibilities of a Financial Analyst Python?

A Financial Analyst Python typically spends their day gathering, cleaning, and analyzing large datasets to uncover important financial trends and support strategic decisions. The role involves building and maintaining financial models, automating repetitive reporting tasks using Python scripts, and interpreting the results for senior management. Analysts frequently collaborate with other finance team members, data scientists, and business units to align on business objectives and share actionable insights. Daily work may also include monitoring key financial metrics, preparing visualizations, and participating in meetings to communicate findings and recommendations.

What are the key skills and qualifications needed to thrive in the Financial Analyst Python position, and why are they important?

To thrive as a Financial Analyst Python, you need strong analytical abilities, a solid grasp of finance and accounting principles, and advanced proficiency in Python programming, typically backed by a degree in finance, economics, or a related field. Experience with data analytics libraries (such as pandas, NumPy, and matplotlib), databases, and certifications like CFA or relevant data analytics credentials is highly beneficial. Attention to detail, problem-solving skills, and the ability to communicate complex insights clearly are vital soft skills in this role. These capabilities enable effective modeling, accurate forecasting, and meaningful collaboration with both technical and non-technical stakeholders to drive smart financial decisions.

What finance jobs require Python?

Financial analyst roles often require Python for data analysis, automation, and modeling tasks. Skills in Python, along with knowledge of financial concepts and tools like pandas or NumPy, are highly valued in these positions.

Is AI replacing financial analysts?

AI is transforming the role of financial analysts by automating data analysis, forecasting, and reporting tasks, allowing analysts to focus on strategic decision-making. While AI tools can handle routine work, human judgment and expertise remain essential for interpreting complex financial data and providing insights. Financial analysts who develop skills in data analysis, programming, and AI tools can adapt to these technological changes effectively.

Is Python enough to get a finance job?

For a financial analyst role, Python is a valuable skill for data analysis, automation, and modeling, but it is typically not sufficient on its own. Employers also look for knowledge of finance concepts, Excel proficiency, and sometimes certifications like CFA or CPA. Combining Python with domain expertise and other tools increases job prospects in finance.
What are the most commonly searched types of Financial Analyst Python jobs in Connecticut? The most popular types of Financial Analyst Python jobs in Connecticut are:
What are popular job titles related to Financial Analyst Python jobs in Connecticut? For Financial Analyst Python jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Financial Analyst Python jobs in Connecticut look for? The top searched job categories for Financial Analyst Python jobs in Connecticut are:
Financial Analyst Python jobs near you
Infographic showing various Financial Analyst Python job openings in Connecticut as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $83,818 per year, or $40.3 per hour.
Financial Analyst (hybrid)

Financial Analyst (hybrid)

CFS

Hartford, CT • Hybrid

$120K - $130K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: FP&A Financial Specialist (Hybrid – Hartford, CT)

Overview:
A highly stable and well-established financial services organization is seeking an experienced FP&A Financial Specialist to join its growing analytics and reporting team. This is a high-visibility role combining financial planning, data analytics, and systems optimization to support strategic decision-making.

Key Responsibilities:
  • Develop and enhance financial reporting and analytics tools
  • Build advanced Power BI dashboards and models
  • Support forecasting, expense management, and planning processes
  • Partner cross-functionally with finance, HR, and operations teams
  • Optimize data workflows, automation, and reporting efficiency
  • Present insights and analysis to stakeholders and leadership
Qualifications:
  • 7+ years of FP&A, finance, or analytics experience
  • Strong accounting/finance foundation
  • Advanced Power BI skills (required)
  • Experience with Python and data analytics tools preferred
  • Exposure to Oracle, Hyperion, or similar systems is a plus
  • Excellent communication and stakeholder management skills
Work Environment:
  • Hybrid (3 days onsite in Hartford, CT)
  • Collaborative and team-oriented culture
  • High-impact role with leadership exposure
Compensation:
  • $120,000 – $130,000 base + bonus
Why Apply:
  • Join a stable, long-tenured organization with strong culture
  • Work on highly visible, impactful financial initiatives
  • Opportunity to modernize reporting and analytics capabilities
  • Gain exposure to senior leadership and strategic decision-making

#CFSJUL2026
#INJUL2026
#CBJUL2026
#ZRCFSTECH
#LI-MH1

Apply