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Financial Analyst Python Jobs in Connecticut (NOW HIRING)

The Family Security Plan

Financial Analyst

Orange, CT · On-site

$70K - $80K/yr

Financial Analyst - Business Intelligence Here at The Family Security Plan, we are building a ... Experience with tools such as R or Python is beneficial, but the ability to think critically and ...

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

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

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 ...

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How much do financial analyst python jobs pay per year?

As of May 30, 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.

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 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.

Will AI replace Financial analysts?

AI can automate routine tasks in financial analysis, such as data processing and reporting, but it is unlikely to fully replace financial analysts. Analysts' skills in interpreting complex data, providing strategic insights, and making judgment calls remain essential, and professionals who develop expertise in tools like Python and machine learning will continue to be valuable in the field.
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Financial Analyst Python jobs near you

Financial Analyst

The Family Security Plan

Orange, CT • On-site

$70K - $80K/yr

Full-time

Posted 13 days ago

Job description

Financial Analyst – Business Intelligence

Here at The Family Security Plan, we are building a Business Intelligence team focused on driving business decisions through data. This role focuses on applying analytical thinking to real business problems and developing, implementing and improving models that guide business decision making and operations.

This position requires someone who is comfortable working through ambiguity, forming reasonable assumptions, and focusing on the key drivers of business outcomes. The role also involves communicating complex analytical concepts in a clear and practical way to non-technical stakeholders, including senior leadership.

Candidates should have a strong foundation in mathematics, statistics, finance, or a related field, along with experience working with data using SQL. Exposure to forecasting or financial modeling is highly valuable. Experience with tools such as R or Python is beneficial, but the ability to think critically and understand model behavior is more important than any specific toolset.

This is an opportunity to work directly with Business Intelligence leadership, develop advanced analytical skills, and take ownership of work that directly influences revenue and strategic decision-making. Our work supports financial protection for families, and the impact of this role extends beyond analysis into real business outcomes.

What You’ll Do

  • Own and improve revenue forecasting models used in monthly business planning
  • Analyze sales performance and customer behavior to identify key drivers of revenue
  • Build and refine analytical models that support business decision-making
  • Translate ambiguous business questions into structured analyses and clear recommendations
  • Communicate insights and model logic to leadership in a clear, practical way
  • Continuously improve your work through iteration, testing, and learning

What We’re Looking For

  • Strong analytical thinking and problem-solving ability
  • Background in math, statistics, finance, or a related field
  • Experience working with data using SQL
  • Comfort working with forecasting or financial models
  • Ability to explain complex ideas clearly to non-technical audiences
  • Curiosity, ownership, and a desire to continuously improve

Education

  • Bachelor’s degree in Mathematics, Statistics, Finance, Economics, Data Science, or a related field preferred
  • Equivalent analytical experience or demonstrated quantitative ability will also be considered

Nice to Have

  • Experience with R or Python
  • Exposure to forecasting or predictive modeling
  • Experience working with revenue or financial data

Why Join Us

  • Real Impact: Your work directly influences revenue and business decisions
  • Ownership: You will own models and see them evolve over time
  • Growth: Work closely with BI leadership and develop advanced analytical skills
  • Learning Environment: We invest in developing talent and promoting from within
  • Purpose-Driven Work: We help protect families and support financial security

The salary range for this position is $70,000–$80,000, with growth opportunities based on performance and impact. If you’re looking for a role where you can think deeply, grow quickly, and make a real impact, not just build reports, we’d love to talk.