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Financial Analyst Python Jobs in New York (NOW HIRING)

Financial Analyst

Westbury, NY · On-site

$85K - $95K/yr

... including Python when appropriate, to organize information, uncover trends, and improve reporting accuracy. • Experience in financial analysis with a strong understanding of profitability ...

Sr. Financial Analyst

Manhattan, NY · On-site

$94K - $117K/yr

NAVA Software is looking for a Sr. Financial Analyst Details: Sr. Financial Analyst Location ... New York City, NY (Hybrid) Duration: 12 months Ideally looking for applicants to have solid Python ...

Proficiency in a programming language such as python or VBA is desirable but not required * General knowledge of databases, software and overall process design is desirable * BS degree in finance or ...

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 ...

Senior Financial Analyst

Manhattan, NY · On-site

$103K - $135K/yr

Serve as the analytical link between FP&A and the Marketing and Culinary teams, with a deep ... Working knowledge of SQL and/or a data tool (Python, Alteryx, Tableau). * Comfortable working with ...

What You'll Do The Enterprise Risk Financial Analyst reports to the Enterprise Risk Financial ... Preferable experience in Python, SQL, R and/or C++. The estimated salary range is $31.93 to $38.32 ...

Python Instructor

New York, NY · On-site

$55 - $75.75/hr

Python InstructorAbout Wall Street Prep Founded in 2004 by investment bankers, Wall Street Prep ... Courses are designed for finance professionals, analysts, consultants, and MBA students looking to ...

Python Instructor

New York, NY · On-site

$55 - $75.75/hr

Python Instructor About Wall Street Prep Founded in 2004 by investment bankers, Wall Street Prep ... Courses are designed for finance professionals, analysts, consultants, and MBA students looking to ...

Senior Financial Systems Analyst

New York, NY · Hybrid

$93K - $116K/yr

You will leverage technologies such as AI tools, SQL, Python, Tableau, and financial systems to analyze data, automate workflows, and deliver actionable insights. This role offers an opportunity to ...

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Financial Analyst Python information

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 New York? The most popular types of Financial Analyst Python jobs in New York are:
Infographic showing various Financial Analyst Python job openings in New York as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Financial Analyst

Financial Analyst

Robert Half

Westbury, NY • On-site

$85K - $95K/yr

Full-time

Posted 13 days ago


Job description

We are looking for a Financial Analyst to support data-driven decision-making for a non-profit organization in Westbury, New York. This role focuses on evaluating rate performance, monitoring profitability, and translating financial data into clear business insights. The ideal candidate will be comfortable working across budgeting, variance review, and custom reporting while using analytical tools to identify trends and support operational planning.
Responsibilities:
• Evaluate DR-related rates and profitability trends to identify drivers of financial performance and recommend actionable improvements.
• Track utilization patterns connected to DR activity and translate findings into meaningful operational and financial insights.
• Support the annual budgeting process by preparing forecasts, analyzing assumptions, and maintaining financial planning models.
• Compare actual results against budgeted figures, investigate variances, and present clear explanations to stakeholders.
• Develop ad hoc financial analyses to address emerging business questions and support leadership decision-making.
• Build and maintain reports and dashboards in Power BI to improve visibility into key financial and operational metrics.
• Use data analysis techniques and tools, including Python when appropriate, to organize information, uncover trends, and improve reporting accuracy.• Experience in financial analysis with a strong understanding of profitability, budgeting, and performance measurement.
• Demonstrated ability to create financial models and interpret complex data sets for business decision support.
• Proficiency in variance analysis and the ability to explain differences between planned and actual results.
• Hands-on experience with ad hoc analysis and translating findings into concise recommendations.
• Working knowledge of Power BI for reporting, dashboard creation, and data visualization.
• Familiarity with data mining techniques and analytical tools, including Python, to support deeper financial insights.
• Strong communication skills with the ability to present financial information clearly to non-financial stakeholders.

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About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948