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Financial Analyst Python Jobs (NOW HIRING)

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 ...

Financial Analyst

Los Angeles, CA · Hybrid

$70K - $89K/yr

Silvus is seeking a Financial Analyst who will report to the FP&A Director on the Finance team. We ... Familiarity with other data manipulation tools and languages such as SQL or Python. * Relevant ...

Financial Analyst

Los Angeles, CA · On-site

$70K - $89K/yr

Silvus is seeking a Financial Analyst who will report to the FP&A Director on the Finance team. We ... Familiarity with other data manipulation tools and languages such as SQL or Python. * Relevant ...

About the Team CoreWeave's FP&A team sits at the intersection of AI infrastructure and commercial ... You find yourself reaching for new tools - Python, AI assistants, BI platforms - when spreadsheets ...

About the Team CoreWeave's FP&A team sits at the intersection of AI infrastructure and commercial ... You find yourself reaching for new tools -- Python, AI assistants, BI platforms -- when ...

We are looking for a technically strong, intellectually curious Financial Analyst to join our ... Familiarity with Python or other scripting languages is a plus. BrandSafway offers a competitive ...

Leverage Python for automation, data transformation, and integration of basic AI/ML models within the financial reporting infrastructure. Work closely with the India-based FP&A Shared Services Centre ...

Financial Analyst

Atlanta, GA · On-site

$70K - $85K/yr

We are looking for a technically strong, intellectually curious Financial Analyst to join our ... Familiarity with Python or other scripting languages is a plus. BrandSafway offers a competitive ...

Lead Financial Analyst

Littleton, CO · On-site

$96K - $137K/yr

Advanced proficiency in SQL, Python, and data lakehouse environments to execute complex, large ... Proven experience leading financial analysis and cloud operations within complex, multi-entity ...

Lead Financial Analyst

Littleton, CO · On-site

$96K - $137K/yr

Architect the financial "translation layer" to map raw cloud consumption and on-premises ... SQL and Python for cloud usage and data analysis * FinOps principles and standards (FinOps ...

Overview The Manufacturing Financial Analyst will support the manufacturing organization by ... SQL, Python, or data visualization experience is a plus Additional Information Compensation at Joby ...

Overview The Manufacturing Financial Analyst will support the manufacturing organization by ... SQL, Python, or data visualization experience is a plus Additional Information Compensation at Joby ...

Senior Financial Analyst

Richmond, VA

$84K - $105K/yr

Experience working with SQL, Python, or other data analysis and reporting tools is advantageous. Strong analytical and problem-solving capabilities with the ability to interpret complex financial ...

... SQL, Python, VBA, or other analytics tools is a plus Similar Backgrounds May Include FP&A Analyst, Real Estate Finance, Corporate Finance Analyst, Senior Financial Analyst, Financial Reporting ...

Senior Financial Analyst

Chicago, IL · Remote

$90K - $105K/yr

Experience with reporting tools such as Power BI, Planful, Workday Adaptive Planning or other similar financial systems preferred (Extra Credit - experience with statistical analysis in R/Python)

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Financial Analyst Python information

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How much do financial analyst python jobs pay per year?

As of Jul 9, 2026, the average yearly pay for financial analyst python in the United States is $88,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $110,500.00 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.
More about Financial Analyst Python jobs
What cities are hiring for Financial Analyst Python jobs? Cities with the most Financial Analyst Python job openings:
What are the most commonly searched types of Financial Analyst Python jobs? The most popular types of Financial Analyst Python jobs are:
What states have the most Financial Analyst Python jobs? States with the most job openings for Financial Analyst Python jobs include:
Infographic showing various Financial Analyst Python job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $88,111 per year, or $42.4 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

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