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Financial Analyst Python Jobs in Texas (NOW HIRING)

CosmoProf

Promotions Analsyt

Plano, TX · Hybrid

Work with merchants and IT to create and maintain a repository of historical promotions, financial ... Three years of experience writing complex SQL, Python, and Power BI; Two years of experience with ...

Sally Beauty

Promotions Analsyt

Plano, TX · Hybrid

Work with merchants and IT to create and maintain a repository of historical promotions, financial ... Three years of experience writing complex SQL, Python, and Power BI; Two years of experience with ...

Cliff Services Inc

Python / GenAI Developer

Dallas, TX · On-site

$50 - $68.75/hr

Python / GenAI Developer (Junior & Senior Roles Available) Location: Dallas, TX Position Overview ... Fine-tune, evaluate, and deploy Generative AI models for automated financial analysis and ...

New

kinetik

Financial Systems & Analytics Analyst

Houston, TX

$82K - $111K/yr

This is a builder's role inside a finance team, not an IT role adjacent to one. The Analyst designs ... Demonstrated ability to build in Python and SQL. Candidates will be asked to walk through something ...

Quala

Sr. Financial Systems Analyst

Channelview, TX · On-site

$100K - $110K/yr

Sr. Financial Systems Analyst Discover a career at Depot Connect International (DCI), a global ... Experience with SQL, Python, VB.net (for OneStream), or Visualization Tools to enhance financial ...

Quala

Sr. Financial Systems Analyst

Tampa, FL · Hybrid

$100K - $110K/yr

Sr. Financial Systems Analyst Discover a career at Depot Connect International (DCI), a global ... Experience with SQL, Python, VB.net (for OneStream), or Visualization Tools to enhance financial ...

Citizens Financial Group

MSR Senior Analyst

Plano, TX

$81K - $101K/yr

... Python (preferred) will ensure quality data with swift troubleshooting of issues. Your role is ... Bachelor's Degree in Business or quantitative field (Finance, Science, Engineering, or Math) * 3-5 ...

Citizens Financial Group

MSR Senior Analyst

Plano, TX

$81K - $101K/yr

... Python (preferred) will ensure quality data with swift troubleshooting of issues. Your role is ... Bachelor's Degree in Business or quantitative field (Finance, Science, Engineering, or Math) * 3-5 ...

LPL Financial

Python API Engineer

Austin, TX

Participate in troubleshooting, root cause analysis, and production support activities. CrossTeam ... Financial services, wealth management, or banking industry experience preferred. * Strong ...

BrezQ

Python Developer

Dallas, TX · On-site

$50 - $68.75/hr

Strong analytical, debugging, and communication skills Preferred: * Experience working in Banking ... Financial Services, Healthcare, or other enterprise environments * Exposure to data processing ...

GM Financial

Digital Analyst II

Irving, TX · On-site

Why GM Financial Technology Innovation isn't just a talking point at GM Financial, it's how we ... Perform exploratory data analysis using SAS, Databricks, and Python to identify trends, patterns ...

GameStop Texas LTD

Sr. Data Analyst

Grapevine, TX · On-site

$146K/yr

Reporting forecasted spend, volume, and rates to Director of Finance and Financial Analyst ... Python - Labor, Headcount, SFC Failure Analysis, QA metrics, Inventory Control/Shrink metrics for ...

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All JobsFinancial Analyst Python JobsFinancial Analyst Python Jobs in Texas

Financial Analyst Python information

See Texas salary details

$35.9K

$82.1K

$109.9K

How much do financial analyst python jobs pay per year?

As of Aug 9, 2026, the average yearly pay for financial analyst python in Texas is $82,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $102,900.00 per year, depending on experience, location, and employer.

Is Python in high demand for financial analysts?

Python is highly in demand for financial analysts as it is widely used for data analysis, automation, and modeling tasks. Proficiency in Python, along with skills in data visualization and libraries like pandas and NumPy, can improve job prospects and efficiency in the role.

What is a financial analyst python?

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.

Is Python in high demand as a financial analyst?

Python is increasingly in high demand for financial analysts due to its capabilities in data analysis, automation, and modeling. Many financial firms seek analysts skilled in Python to improve efficiency and develop advanced financial algorithms.

Do financial analysts use Python?

Financial analysts often use Python for data analysis, modeling, and automation due to its powerful libraries like pandas and NumPy. Proficiency in Python can enhance efficiency and accuracy in financial tasks, making it a valuable skill in the field.

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.

Which Python job is in demand?

Python roles such as Data Analyst, Data Scientist, and Software Developer are highly in demand across industries. Financial analysts with Python skills are sought after for automation, data analysis, and modeling tasks, often requiring knowledge of libraries like pandas, NumPy, and visualization tools. These positions typically value proficiency in Python programming, data manipulation, and analytical problem-solving.

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.

Is Python in high demand for a financial analyst?

Python is highly in demand for financial analysts as it is widely used for data analysis, automation, and modeling tasks. Proficiency in Python, along with skills in data visualization and financial libraries like pandas and NumPy, can enhance job prospects and efficiency in the role.

Which Python financial analyst job is in demand?

Python financial analyst roles are in high demand across the finance and investment sectors due to their ability to automate data analysis, develop models, and improve decision-making processes. Skills in Python programming, data analysis, and familiarity with financial tools like pandas and NumPy are highly valued, and certifications such as CFA or FRM can enhance job prospects.

Is Python good to learn for finance?

For a financial analyst, learning Python is highly beneficial as it is widely used for data analysis, automation, and modeling in finance. Proficiency in Python can improve efficiency and enable handling large datasets, making it a valuable skill in the finance industry.

Is Python in high demand?

Python is highly in demand for financial analyst roles, especially those involving data analysis, automation, and modeling. Employers value Python skills alongside knowledge of financial concepts and tools like pandas, NumPy, and Jupyter notebooks, making it a valuable programming language in the finance industry.
What are the most commonly searched types of Financial Analyst Python jobs in Texas? The most popular types of Financial Analyst Python jobs in Texas are:
What are popular job titles related to Financial Analyst Python jobs in Texas? For Financial Analyst Python jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Financial Analyst Python jobs in Texas look for? The top searched job categories for Financial Analyst Python jobs in Texas are:
Financial Analyst Python jobs near you
Infographic showing various Financial Analyst Python job openings in Texas as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,089 per year, or $39.5 per hour.

Promotions Analsyt

CosmoProf

Plano, TX • Hybrid

Full-time

Posted 24 days ago

CosmoProf rating

5.3

Company rating: 5.3 out of 10

Based on 116 frontline employees who took The Breakroom Quiz

25th of 41 rated hair and beauty

Job description

Employer:     Sally Beauty Supply LLC

POSITION:       Promotions Analyst

WORKSITE:      7900 Windrose Avenue, Plano, TX 75024

JOB DUTIES: Develop and utilize analytics to measure effectiveness of promotions. Work with merchants and IT to create and maintain a repository of historical promotions, financial performance, trends and associated tactics. Develop processes to identify and measure actual promo volume, discount depth, promo types, support vehicles, basket, number of trips and vendor funding. Construct baseline calculation process and update as promo periods are cycled through. Help develop promotional scenario modeling to forecasting to estimate the performance and ROI of promotions being planned. Evaluate effectiveness of promo strategy and rules, identify opportunities and make recommendations for future promo planning. Work with merchandising and store ops to develop promo verification to measure actual results of a current promotional period against forecast and goals. Help build drillable reporting on promotions to provide insights and recommendations on actions that should be taken. Additional promo projects as identified by manager. Has discretion to interpret and adapt guidelines. Provide and assist with ad hoc analytical requests from manager.

MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS: Bachelor's degree in Math, Finance, Statistics, Business Analytics, Business Administration, or a closely related field and three years of progressive, post-baccalaureate experience as business analyst or related field. In the alternative a Master's degree in Math, Finance, Statistics, Business Analytics, Business Administration, or a closely related field and one year of progressive, post-baccalaureate experience as business analyst or related field. 

SPECIAL REQUIREMENTS: The experience must include: Three years of experience writing complex SQL, Python, and Power BI; Two years of experience with Tableau and Alteryx.

Telecommuting up to 3 days per week. Must live within commuting distance from office. 

What CosmoProf employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Cosmoprof

Sourced by ZipRecruiter

Cosmoprof is a respected name in the beauty industry, headquartered in Denton, TX, United States. This multinational company, accessible via cosmoprofbeauty.com, is a leader in the wholesale distribution of professional beauty products and equipment. It operates by a business-to-business model, catering extensively to salon professionals and beauticians. Its portfolio includes a wide range of products such as hair care, skin care, nail care, tools and accessories, salon furniture, and equipment from leading beauty brands. The company was founded with the intention to nurture the growth of the professional beauty sector.

Industry

Wholesale

Company size

5,001 - 10,000 Employees

Headquarters location

Denton, TX, US

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