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Financial Analyst Python Jobs in Texas (NOW HIRING)

Prepare and analyze monthly, quarterly, and annual financial reports, including income statement ... Experience with SQL, Python, or data visualization tools (Tableau/Power BI) a plus * SAP ...

Prepare and analyze monthly, quarterly, and annual financial reports, including income statement ... Experience with SQL, Python, or data visualization tools (Tableau/Power BI) a plus * SAP ...

Senior Financial Analyst

Fort Worth, TX · On-site

$76K - $95K/yr

Improve financial status by analyzing results; monitoring variances; identifying trends ... R or Python experience is a plus. Benefits * Medical * Dental * Vision * Company Paid Life ...

Senior Financial Analyst

Fort Worth, TX · On-site

$76K - $95K/yr

Improve financial status by analyzing results; monitoring variances; identifying trends ... R or Python experience is a plus. Benefits * Medical * Dental * Vision * Company Paid Life ...

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 ...

Senior Financial Business Analyst

Austin, TX · On-site

$84K - $105K/yr

Senior Financial Business Analyst Duration: 12 Months Location: Austin, TX 78744 (This role ... PowerBI, Python, Tableau, Power Platform or other data analytics and data visualization tools.

Manager, FP&A - Financial Services

Plano, TX · On-site

$85K - $111K/yr

... Financial Analyst in the Financial Services division, you will work for a forward leaning ... At least 3 years of experience using SQL, Python, or a combination * At least 5 years experience in ...

... Financial Analyst in the Financial Services division, you will work for a forward leaning ... At least 3 years of experience using SQL, Python, or a combination * At least 5 years experience in ...

... Financial Analyst in the Financial Services division, you will work for a forward leaning ... At least 3 years of experience using SQL, Python, or a combination * At least 5 years experience in ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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 8, 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:
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.

$76K - $95K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Senior Financial Analyst

Location: The Woodlands, TX (Onsite)

Join a High-Growth Industry Leader

Robert Half Finance & Accounting is partnering with an established, well-capitalized organization in The Woodlands that owns, leases, transports, and manages specialized equipment across a rapidly expanding operation. We have maintained a successful professional relationship with this company for several years and have consistently seen them hire exceptional professionals who are experts in their respective fields.

This organization is known for investing in its employees, embracing technology, and continuously improving processes through innovation and data-driven decision making. Due to continued growth, they are creating a new Senior Financial Analyst position that will play a key role in supporting operations, supply chain, and executive leadership.

If you enjoy working in a fast-paced environment where your analysis directly influences business decisions, this is an outstanding opportunity to make an immediate impact while positioning yourself for long-term career growth.

Position Overview

The Senior Financial Analyst will serve as a strategic business partner to operations and leadership by developing financial reporting, operational analytics, and business intelligence that drive performance across the organization. This is a hands-on analytical role where you will be responsible for both creating and maintaining reporting while also providing meaningful insights that improve operational efficiency.

This position offers significant visibility throughout the organization and will continue to evolve as the company expands.

Responsibilities

  • Develop and maintain financial and operational reports, dashboards, and KPIs for executive leadership
  • Analyze supply chain, logistics, transportation, and inventory performance to identify trends and improvement opportunities
  • Perform CapEx and OpEx analysis to support strategic investment decisions
  • Prepare annual budgets, forecasts, and long-range financial planning models
  • Conduct monthly variance analysis and provide actionable recommendations to business leaders
  • Design and enhance complex Power BI dashboards and automated reporting solutions
  • Utilize SQL and Python to extract, manipulate, and analyze large data sets
  • Partner with Operations, Supply Chain, Logistics, Accounting, and Finance teams to improve reporting and business processes
  • Monitor inventory metrics and operational performance across multiple business units
  • Identify opportunities to automate reporting and improve data quality and reporting efficiency
  • Support ad hoc financial analysis and strategic initiatives as the business continues to grow

Qualifications

  • Bachelor's degree in Finance, Economics, Supply Chain, Logistics, Business, or a related field required
  • 5+ years of progressive corporate financial analysis experience
  • Strong experience with budgeting, forecasting, financial modeling, and variance analysis
  • Advanced Microsoft Excel skills
  • Experience developing complex dashboards using Power BI
  • Working knowledge of SQL and Python for reporting and analytics
  • Experience analyzing inventory, supply chain, logistics, or operational performance metrics
  • Ability to transform large volumes of data into meaningful business insights
  • Hands-on approach with a willingness to build reports while also improving processes and driving strategic initiatives
  • Excellent communication skills with the ability to partner effectively across multiple departments

Preferred Industry Experience

Candidates from the following industries are especially encouraged to apply:

  • Equipment Rental
  • Fleet Management
  • Heavy Equipment
  • Machinery Rental
  • Transportation
  • Logistics
  • Distribution
  • Manufacturing
  • Supply Chain Operations
  • Automotive Rental

Why Join This Company?

  • Newly created position driven by company growth
  • Financially strong and well-backed organization
  • High-growth environment with outstanding long-term career advancement
  • Highly collaborative culture that values innovation and continuous improvement
  • Opportunity to work with modern technologies and business intelligence tools
  • Significant visibility with executive leadership
  • Organization committed to investing in employee development and professional growth

This is an immediate hiring need.

If you are currently working with a Robert Half recruiter, please contact your recruiter directly and reference Job Order #04340-0013449071.

If you are not currently working with a Robert Half representative, apply today for immediate consideration.