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Executive Python Financial Jobs in Dallas, TX (NOW HIRING)

FleetPride, Inc.

Senior AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Write high-quality, production-grade code (Python required; additional languages a plus ... Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high ...

Superior Fleet Solutions

Senior AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Write high-quality, production-grade code (Python required; additional languages a plus ... Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high ...

TCWGlobal

Senior Finance Analyst

Plano, TX · On-site +1

$130K/yr

Translate model outputs into clear, compelling presentations and executive-level recommendations ... Expert-level financial modeling skills in Excel * Experience with Python, SQL, or BI tools such as ...

United Flow Technologies

Finance Manager

Irving, TX · On-site

Prepare and present high-quality materials to the CEO, CFO, Board of Directors, and Berkshire ... Experience with AI/automation tools such as Claude, scripting (Python, SQL), and/or workflow ...

United Flow Technologies

Finance Manager

Irving, TX · On-site

Prepare and present high-quality materials to the CEO, CFO, Board of Directors, and Berkshire ... Experience with AI/automation tools such as Claude, scripting (Python, SQL), and/or workflow ...

1 point system

Data Engineering Manager

Dallas, TX · On-site

$113K - $136K/yr

SQL, Python, PySpark * Snowflake (data modeling, performance optimization, RBAC, Bronze/Silver/Gold ... Strong executive presence; comfortable reporting to AVPs, CIO, and executive steering committees.

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Executive Python Financial information

See Dallas, TX salary details

$13

$57

$85

How much do executive python financial jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for executive python financial in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 per hour, depending on experience, location, and employer.

What is the difference between Executive Python Financial vs Financial Analyst?

AspectExecutive Python FinancialFinancial Analyst
Required CredentialsPython programming skills, finance knowledge, possibly certifications like CFAFinance degree, certifications like CFA or CPA often preferred
Work EnvironmentTech-driven finance teams, data analysis, programming tasksFinancial reporting, data analysis, forecasting
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanks, investment firms, corporate finance departments
Common Search & ComparisonYesYes

The main difference between Executive Python Financial and a Financial Analyst lies in their skill sets and focus areas. Executive Python Financial professionals combine finance expertise with advanced Python programming to develop data-driven solutions, while Financial Analysts primarily focus on financial data analysis, reporting, and forecasting. Both roles are vital in finance but serve different functions within organizations.

Executive Python Financial jobs near you
Senior Data Analyst - Hybrid in office - Dallas HQ

Senior Data Analyst - Hybrid in office - Dallas HQ

Triumph Financial

Dallas, TX • On-site

$85K - $107K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

Join Triumph!
At Triumph, our vision is a world where freight transactions are accurate and seamless on the most modern and secure freight transaction network. That's why we're looking for passionate, innovative, solutions-oriented people to join our team. We thrive on providing exceptional customer service and we look for team members with an entrepreneurial spirit and a passion to build successful partnerships with our clients. Because at the end of the day our goal is to help our partners businesses run better.
Role Summary
Triumph is looking for a strategic and hands-on Senior Data Analyst to help drive data-informed decisions across the organization. In this role, you'll partner with leaders across the business to turn complex data into meaningful insights, improve reporting and analytics capabilities, and support initiatives that shape business strategy. If you enjoy solving problems, influencing decisions, and mentoring others, this could be the perfect opportunity for you.
Day in the Life
You'll work closely with senior leadership, engineering, and product teams to uncover insights, improve reporting, and support high-impact business initiatives. From building scalable analytics solutions to presenting data-driven recommendations to executives, no two days are the same.
What You'll Be Doing
  • Develop reporting, dashboards, and visualizations that support executive decision-making
  • Deliver actionable insights through advanced analysis and data storytelling
  • Contribute to board-level reporting and strategic presentations
  • Partner with technology and business teams to improve automation and data infrastructure
  • Serve as a subject matter expert on transportation data and analytics strategy
  • Build and maintain scalable datasets, ETL processes, and data pipelines
  • Ensure data quality, governance, and reporting accuracy through documented processes
  • Aggregate and analyze data from multiple systems to support strategic initiatives
  • Mentor and support analysts by sharing best practices and encouraging professional growth
  • Collaborate across teams to create efficient, data-driven solutions that deliver customer value

What Makes You a Great Fit
  • Bachelor's degree in Business, Economics, Finance, Computer Science, Data Analytics, or a related field; Master's degree preferred
  • 5-8 years of experience in business intelligence, analytics, or data warehousing
  • Strong experience influencing business decisions through data analysis and KPI development
  • Advanced analytical and statistical skills with the ability to turn data into actionable insights
  • Strong programming skills in Python or similar languages
  • Advanced SQL skills and experience working with relational databases such as Snowflake, SQL Server, or Oracle
  • Experience building and maintaining ETL processes, data pipelines, and reusable datasets
  • Familiarity with tools such as dbt, Dagster, GitHub, and Git-based workflows
  • Experience using visualization tools such as Power BI, Tableau, or Python-based reporting tools
  • Comfortable working with AI-enabled development tools to improve efficiency and workflows
  • Strong understanding of data warehousing concepts and dimensional modeling
  • Excellent communication and presentation skills, especially with executive audiences
  • Highly organized with strong project management and multitasking abilities
  • Detail-oriented, proactive, and comfortable working in a fast-paced environment
  • Collaborative mindset with a passion for mentoring and supporting teammates
  • Experience with cloud platforms such as Azure or AWS is a plus
  • Familiarity with knowledge management and documentation tools like Notion is a plus

Call to Action
Apply now and take the next step in your career. We're excited to meet you!
#LI-BA1
We offer Medical, Dental, Vision, Paid Time Off, 401k and much more.
Go on. Do it. Apply Today!

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