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Financial Analyst Python Jobs in North Carolina (NOW HIRING)

Senior Financial Analyst

Raleigh, NC ยท On-site

$83K - $103K/yr

Uses AI tools and scripting (e.g., Python, SQL, AI coding assistants) to accelerate data ... Performs quantitative analysis and financial modeling of internal and external data to provide ...

New

Senior Financial Analyst

Raleigh, NC

$83K - $103K/yr

Uses AI tools and scripting (e.g., Python, SQL, AI coding assistants) to accelerate data ... Performs quantitative analysis and financial modeling of internal and external data to provide ...

New

Senior Financial Analyst

Charlotte, NC ยท On-site

$83K - $103K/yr

Constructing well controlled, governed, and documented processes for financial analysis, data ... Experience with database reporting and programming tools such as SQL, Python, R, etc. a plus About ...

... Analyst is an embedded member of a Finance delivery team and a participant in Corning's Digital ... Build and maintain financial models and automated reporting pipelines in Databricks using Python ...

Analyst III Finance

Salisbury, NC ยท Hybrid

$86K - $129K/yr

OverviewThis position provides comprehensive financial planning, analysis, and reporting support ... Experience with process automation tools (e.g., Alteryx, Python/SQL exposure). * Experience in ...

Looking for Business analyst with experince in capital market, Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) certification and experience in Python or Oracle. Risk (market, credit ...

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Financial Analyst Python information

See North Carolina salary details

$35K

$80.1K

$107.2K

How much do financial analyst python jobs pay per year?

As of Jul 13, 2026, the average yearly pay for financial analyst python in North Carolina is $80,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $100,400.00 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 North Carolina? The most popular types of Financial Analyst Python jobs in North Carolina are:
What job categories do people searching Financial Analyst Python jobs in North Carolina look for? The top searched job categories for Financial Analyst Python jobs in North Carolina are:
Infographic showing various Financial Analyst Python job openings in North Carolina as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 7% Part Time, 2% Temporary, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,075 per year, or $38.5 per hour.

Financial Analyst/BA - w2

Sidram Technologies

Charlotte, NC โ€ข On-site

Contractor

Re-posted 4 days ago


Job description

Role โ€“ Financial Analyst/BA

Location โ€“ Charlotte, NC

The core responsibilities of Financial Analysts are:

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  • Financial Analysis: Review and Analyze moderately complex finance challenges, including income statements, capital, and profitability calculations.

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  • Data Handling: Work with multiple datasets, ensuring accuracy and compliance with policies and procedures.

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  • Reporting: Create ad hoc reports, research issues, and contribute to large-scale planning related to finance deliverables.

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The Required Skills of Financial Analysts are:

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  • Analytical Background: Strong understanding of financial metrics, profit and loss components and PBI Reporting.
  • Jira: Create and manage features and stories in Jira.
  • Technical Proficiency:
    • SQL โ€“ data extraction and reconciliation.
    • Power BI โ€“ Dashboard creation and automation
    • Python- Advanced data analysis.

Rachael

IT Services | Development | Staffing

URL: http:/www.sidramtech.com |

Email: rachael@sidramtech.comย ย 

Direct: 4705239688

Led by 25+ Years of Industry Experience

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SIDRAM TECHNOLOGIESย  participates in the Employment Eligibility Verification Program (E-Verify) offered by USCIS.

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