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Financial Analyst Python Jobs in Tennessee (NOW HIRING)

Solid understanding of financial industry terminology and concepts. * Knowledge of financial ... Experience with AWS and Python is preferred. Stifel is more than 130 years old and still thinking ...

Solid understanding of financial industry terminology and concepts. * Knowledge of financial ... Experience with AWS and Python is preferred. About Stifel Stifel is more than 130 years old and ...

Solid understanding of financial industry terminology and concepts. * Knowledge of financial ... Experience with AWS and Python is preferred. About Stifel Stifel is more than 130 years old and ...

Senior Business Analyst

Nashville, TN

$89K - $115K/yr

Degree in Finance/ Economics, Operations Management, or Computer Science/Engineering, Master ... Python About AB We are a leading global investment management firm offering high-quality research ...

Bachelor's degree in Data Science, Statistics, Analytics, Business, Finance, or a related field. An ... Exposure to R or Python is a nice-to-have, not a requirement. Communication & Presentation:

Workday Extend Senior Analyst

Nashville, TN · On-site

$68K - $89K/yr

... and Financial functional areas, where analysis of situations or data requires an in-depth ... Java, or Python) and broader knowledge of API First Architecture. * Experience leading an ...

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Financial Analyst Python information

See Tennessee salary details

$34.9K

$80K

$107.1K

How much do financial analyst python jobs pay per year?

As of Jul 10, 2026, the average yearly pay for financial analyst python in Tennessee is $79,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $100,300.00 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 Tennessee? The most popular types of Financial Analyst Python jobs in Tennessee are:
What are popular job titles related to Financial Analyst Python jobs in Tennessee? For Financial Analyst Python jobs in Tennessee, the most frequently searched job titles are:
Infographic showing various Financial Analyst Python job openings in Tennessee as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 6% Part Time, 2% Temporary, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $79,971 per year, or $38.4 per hour.
Data Analyst

Data Analyst

Stifel

Memphis, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Stifel rating

8.2

Company rating: 8.2 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole.

Let’s talk about how you can find your place here at Stifel, where success meets success.


The Data Analyst will work as a member of Stifel's Analyst team within the Digital Solutions group. The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests originating from various areas of the business as well as support discovery or solutions for firm data driven initiatives and developments. This position is expected to work with business users as well as product management and development teams to further define requirements, analyze pertinent underlying data to ensure proper use and then translate those requirements into queries that will provide the objective data sets. The Data Analyst will also act as a subject matter expert for assigned raw data sets as well as maintain documentation surrounding them.


  • Develop an understanding of the Stifel business & data models, and use that knowledge to optimize the relationship between the company and the customer.
  • Field inbound requests from business users and product management and refine requirements until a full understanding is reached on the data being requested.
  • Build and leverage T-SQL queries to fulfill ad-hoc data requests or support data analysis needs related to firm initiatives and developments.
  • Perform due diligence on data produced to ensure quality and accuracy.
  • Provide peer review of ad-hoc data requests fulfilled by associate members of the Data Analysts team and provide assistance to fellow members as needed in larger project efforts.
  • Proactively identify and recommend process and practice improvement within the team.
  • Maintain strong communication with stakeholders, following up as needed to ensure all requests are being actively addressed and/or status is being communicated.
  • Triage requests to focus first on more time-sensitive items while maintaining awareness of overall team bandwidth and workload.
  • Gain and utilize a strong understanding of company applications and business practices in the context of how they affect the firm's data.
  • Perform in-depth analysis and act as subject matter expert for assigned raw data sets.

  • Solid understanding of financial industry terminology and concepts.
  • Knowledge of financial services, specifically wealth management.
  • Solid understanding of basic concepts of Microsoft T-SQL and database design.
  • Ability to leverage SQL to create queries which model and/or aggregate large complex datasets.
  • Leverage these skills to grow abilities in developing normalized data sets for enterprise wide business intelligence purposes.
  • Strong analytical skills focused on using logic and reasoning to identify complex relationships within a data structure as well as to research and discuss recommended uses.

  • Minimum Required: Bachelor's degree in Information Technology, Computer Science or Business Administration or equivalent work experience
  • Minimum Required: 1-3 years' of investment, financial or technical experience

  • Minimum Required: None.

  • Proficient in Microsoft Excel, Word, PowerPoint, Outlook.
  • Experience with ticketing systems.
  • Experience with office productivity, reporting, and technical documentation software.
  • Exposure to systems monitoring tools and logging tools.
  • Understands client/server computing architecture, user interfaces and application programing interfaces.
  • Understand concepts related to relational databases.
  • Ability to create intermediate SQL queries.
  • Experience with AWS and Python is preferred.

Stifel is more than 130 years old and still thinking like a start-up.  We are a global wealth management and investment banking firm serious about innovation and fresh ideas.  Built on a simple premise of safeguarding our clients’ money as if it were our own, coined by our namesake, Herman Stifel, our success is intimately tied to our commitment to helping families, companies, and municipalities find their own success.

While our headquarters is in St. Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more than 400 other locations.  Stifel is home to approximately 9,000 individuals who are currently building their careers as financial advisors, research analysts, project managers, marketing specialists, developers, bankers, operations associates, among hundreds more.  Let’s talk about how you can find your place here at Stifel, where success meets success.

At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401k, wellness initiatives, life insurance, and paid time off.

Stifel is an Equal Opportunity Employer.


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