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Financial Analyst Python Freelance Jobs in Oklahoma

CRES Sr Business Analyst

Tulsa, OK

$81K - $104K/yr

BOK Financial Securities, Inc. and BOK Financial Private Wealth, Inc. BOKF, NA operates TransFund ... Python and/or ESRI preferred. * Operating in ambiguity: Comfortable building structure where none ...

CRES Sr Business Analyst

Tulsa, OK · On-site

$81K - $104K/yr

BOK Financial Securities, Inc. and BOK Financial Private Wealth, Inc. BOKF, NA operates TransFund ... Python and/or ESRI preferred. * Operating in ambiguity: Comfortable building structure where none ...

CRES Sr Business Analyst

Tulsa, OK

$84K - $109K/yr

BOK Financial Securities, Inc. and BOK Financial Private Wealth, Inc. BOKF, NA operates TransFund ... Python and/or ESRI preferred. * Operating in ambiguity: Comfortable building structure where none ...

CRES Sr Business Analyst

Tulsa, OK · On-site

$80K - $103K/yr

BOK Financial Securities, Inc. and BOK Financial Private Wealth, Inc. BOKF, NA operates TransFund ... Python and/or ESRI preferred. * Operating in ambiguity: Comfortable building structure where none ...

Data Platform Analyst The Data Platform Analyst supports operational and financial decision-making ... Use Python for data pipelines, automation, validation, and integration tasks (e.g., scheduled loads ...

Data Platform Analyst The Data Platform Analyst supports operational and financial decision-making ... Use Python for data pipelines, automation, validation, and integration tasks (e.g., scheduled loads ...

Data Platform Analyst The Data Platform Analyst supports operational and financial decision-making ... Use Python for data pipelines, automation, validation, and integration tasks (e.g., scheduled loads ...

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Showing results 1-20

Financial Analyst Python Freelance information

What does a Financial Analyst Python Freelancer do?

A Financial Analyst Python Freelancer combines financial expertise with programming skills in Python to analyze data, build financial models, and automate reporting tasks. They are typically hired on a contract basis to help businesses interpret complex financial information, create custom analysis tools, and improve decision-making processes. Their work can include tasks such as data cleaning, statistical analysis, and developing algorithms for forecasting or risk assessment. Freelancers in this role often work remotely and may serve multiple clients in various industries.

What are the key skills and qualifications needed to thrive as a Financial Analyst Python Freelance, and why are they important?

To excel as a Financial Analyst Python Freelance, you need strong analytical skills, a solid understanding of finance and accounting principles, and proficiency in Python programming, often supported by a relevant degree or certification. Familiarity with data analysis libraries (like Pandas and NumPy), financial modeling tools, and platforms such as Excel or Tableau is typically required. Excellent communication, problem-solving, and time management skills help freelancers effectively manage projects and convey insights to clients. These combined skills enable efficient, accurate financial analysis and deliver actionable recommendations in a competitive freelance environment.

How do Financial Analyst Python Freelancers typically collaborate with clients and teams during projects?

As a Financial Analyst Python Freelancer, collaboration often happens through virtual meetings, regular progress updates, and shared documentation platforms. You may work with finance teams, data engineers, and project managers to clarify requirements, align on deliverables, and troubleshoot data or modeling issues. Clear communication is key, as you'll often need to explain your analytical methods and Python code to non-technical stakeholders. Many freelancers also use collaborative tools like Slack, Trello, or GitHub to streamline workflow and version control.
What are the most commonly searched types of Financial Analyst Python jobs in Oklahoma? The most popular types of Financial Analyst Python jobs in Oklahoma are:
What are popular job titles related to Financial Analyst Python Freelance jobs in Oklahoma? For Financial Analyst Python Freelance jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Financial Analyst Python Freelance jobs in Oklahoma look for? The top searched job categories for Financial Analyst Python Freelance jobs in Oklahoma are:
What cities in Oklahoma are hiring for Financial Analyst Python Freelance jobs? Cities in Oklahoma with the most Financial Analyst Python Freelance job openings:
Infographic showing various Financial Analyst Python Freelance job openings in Oklahoma as of June 2026, with employment types broken down into 2% As Needed, 39% Full Time, and 59% Part Time. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Finance Analytics & AI Senior Consultant

Finance Analytics & AI Senior Consultant

Deloitte

Tulsa, OK

$106K/yr

Other

Posted 16 days ago


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services


Job description

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 09/14/2026.

Work you'll do

As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.

  • Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
  • Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
  • Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
  • Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
  • Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
  • Identify delivery risks, track dependencies, and support project execution across cross-functional teams

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
  • 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
  • Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
  • Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
  • Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
  • Experience deploying machine learning or generative and agentic AI solutions into production environments
  • Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
  • Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
  • Experience with Tableau or Microsoft Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200-$229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:
In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 09/14/2026.

Work you'll do

As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.

  • Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
  • Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
  • Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
  • Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
  • Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
  • Identify delivery risks, track dependencies, and support project execution across cross-functional teams

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
  • 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
  • Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
  • Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
  • Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
  • Experience deploying machine learning or generative and agentic AI solutions into production environments
  • Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
  • Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
  • Experience with Tableau or Microsoft Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200-$229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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