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Financial Analyst Python Jobs in Texas (NOW HIRING)

Financial Systems & Analytics Analyst

Houston, TX · On-site

$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 ...

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 ...

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 ...

Senior FP&A Analyst

Houston, TX · On-site

$82K - $103K/yr

Monitor industry news, analyst reports, and peer financial health to provide real-time updates to ... Advanced Excel is required; experience with Python, Power BI, or SQL is highly a plus.

Analyst, Finance Systems

Austin, TX · Remote

$58K - $96K/yr

... their financial goals. The Finance Systems Analyst, reports to the Vice President of Finance ... Familiarity with Python or SQL * Minimum of 1-2 years of professional experience is required Core ...

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 ...

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 ...

Python Developer II

Plano, TX · On-site +1

$47 - $64.75/hr

Finance of America Holdings Website: www.financefamerica.com Finance of America Holdings LLC, is ... Contribute to an analytics program by developing new and enhancing existing applications.

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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 Jul 16, 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.

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 Texas? The most popular types of Financial Analyst Python jobs in Texas 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:
Infographic showing various Financial Analyst Python job openings in Texas as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,089 per year, or $39.5 per hour.
Lead Financial Analysis-Statements & Allocations

Lead Financial Analysis-Statements & Allocations

AT&T

Dallas, TX

$118K - $178K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


AT&T rating

7.3

Company rating: 7.3 out of 10

Based on 723 frontline employees who took The Breakroom Quiz

39th of 82 rated telecommunications companies


Job description

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

Overview

The Lead Financial Analyst oversees, maintains, and continuously enhances the business intelligence, allocation logic, and driver-based methodologies within the PDAI financial allocation engine. This role requires a highly analytical, self-motivated individual who is comfortable operating across multiple organizations and engaging with leadership, including skip-level management.

This position is responsible for the design, governance, and execution of underlying expense and revenue drivers used in the financial allocation process. The role ensures alignment with financial controls, transparency, and business intent, and plays a critical part in supporting financial close, budgeting, and strategic planning processes while driving continuous process improvement and automation.

Key Roles and Responsibilities:

Allocation & Driver Logic Ownership

  • Develop, maintain, and enhance driver-based methodologies and the driver creation process, utilizing multiple systems and cross-functional teams.

  • Translate business activities into quantifiable drivers, such as volume, usage, headcount, revenue, or cost-causation metrics, to support accurate allocations.

  • Ensure allocation drivers are well-defined, consistently applied, and traceable to source systems.

  • Evaluate and refine driver logic to improve accuracy, transparency, and alignment with evolving business needs.

Driver Governance & Controls

  • Establish and maintain governance over driver inputs, including data sourcing, validation, and documentation.

  • Partner with cross-functional teams to validate driver assumptions and ensure proper representation of business activities.

  • Maintain clear documentation of driver logic, data sources, and calculation methodologies to support audits and reviews.

Financial Integrity & Close Support

  • Support month-end close by validating allocation outputs, including both rule execution and underlying driver inputs.

  • Ensure financial integrity across outputs through monthly reconciliations, validations, and journal entries, where required.

Budgeting, Forecasting & Scenario Analysis

  • Support budgeting and forecasting processes using driver-based modeling techniques.

  • Perform what-if and sensitivity analyses based on changes in key drivers.

  • Partner with finance and business teams to assess the impact of operational changes on allocation outcomes.

Reporting & Business Partnership

  • Deliver standardized reporting and dashboards highlighting driver trends, allocation outcomes, and key variances.

  • Act as the subject matter expert for allocation logic and driver methodologies for PDAI stakeholders.

  • Communicate insights clearly to business partners, including the financial impact of driver changes.

Process Improvement & Innovation

  • Identify opportunities to automate driver ingestion, validation, and reporting processes.

  • Continuously improve the efficiency, transparency, and scalability of allocation and driver processes.

  • Recommend enhancements to business intelligence, data quality, and allocation frameworks.

General Responsibilities

  • Leverage knowledge of financial systems and close processes.

  • Conduct complex analyses, ad hoc requests, and special projects with minimal supervision.

  • Build and maintain strong cross-functional relationships and influence decision-making through data-driven insights.

Skills and Experience

  • 3+years of experience in financial or general large-scale dataanalysis.

  • CPA or MBA preferred.

  • Experience with Power BI, dashboard tools, and Agentic AI.

  • Excellent written and verbal communication skills.

  • Strong leadership skills.

  • Experience with financial and accounting systemsand/or interest in deepening Financial skillset.

  • Advanced technical skills, including Oracle Cloud, SQL, Python, general data flow/systems understanding and metadata management.

Education/Experience: Bachelor's degree (BS/BA) desired. 5+ years of related experience.

Supervisory: No.

Our Lead Financial Analysis jobs earn between $118,800.00 - $178,200.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours:

40

Time Type:

Regular

Location:

Dallas, Texas

Salary Range:

$118,800.00 - $178,200.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.AT&T is a fair chance employer and does not initiate a background check until an offer is made.


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