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Financial Analyst Python Freelance Jobs in Kansas

Power Trader/Analyst

Overland Park, KS · On-site +1

$60K - $150K/yr

... financial instruments. Key Responsibilities * Analyze electricity market data including supply ... Strong programming skills (Python or similar preferred) * Solid understanding of statistics and ...

... Python, and other programming languages * Develop technical as well as process-based solutions ... MIS, CS, Finance, Business Administration, or related field * Minimum 5 years relevant technical ...

... Python, and other programming languages * Develop technical as well as process-based solutions ... MIS, CS, Finance, Business Administration, or related field * Minimum 5 years relevant technical ...

MIS, CS, Finance, Business Administration, or related field Minimum 5 years relevant technical ... Python (& associated libraries), or similar Experience with data visualization tools such as Power ...

... financial strength, underwriting excellence, superior claims handling expertise and local ... Demonstrated experience with SQL, Python, and/or R for data extraction, manipulation, analysis, and ...

The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ... or financial modeling and/or other related disciplines. * Familiarity with Excel, SQL, Python, R ...

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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 Kansas? The most popular types of Financial Analyst Python jobs in Kansas are:
What are popular job titles related to Financial Analyst Python Freelance jobs in Kansas? For Financial Analyst Python Freelance jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Financial Analyst Python Freelance jobs in Kansas look for? The top searched job categories for Financial Analyst Python Freelance jobs in Kansas are:
Associate Analyst - Energy

Other

Posted 2 days ago


Energy Transfer rating

9.0

Company rating: 9.0 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

2nd of 74 rated oil and gas companies


Job description

Summary:

Responsible for developing and maintaining existing databases, assist with developing energy forecast models, provide management with accurate financial projections and identify future opportunities.

  Essential Duties & Responsibilities: 

  • Assist in the analysis, preparation, review and document the strategic, financial, resource and operations planning, and other scenarios as requested by management 
  • Proficient in producing and analyzing all elements necessary for the development and analysis of the annual load forecast including the development of the annual peak demand and energy forecast 
  • Work in conjunction with traders and analytics team to provide tools and valuations through quantitative risk analysis of the energy trading portfolio 
  • Analyze weather, economic, and financial statistics, customer usage patterns and other various statistical information used in forecasting and analyzing rates, load forecasts and revenue forecasts 
  • Update, review and support the financial model and maintain interfaces with fuel, revenue, operations and maintenance, plant and construction data interfaces 
  • Provide support, analysis, and recommendations for traders 
  • Develop and maintain analytical abilities to lead and/or support existing or new projects
 

Education and/or Experience, Knowledge, Skills & Abilities:

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. The requirements for this position are listed below:

  • Bachelor's degree in business analytics, data science, finance, accounting, engineering or other business related area.
  • 0-2 years of experience with a Bachelor's degree or equivalent work experience
  • Must have a thorough knowledge and demonstrated experience using Excel, Word, PowerPoint, Access, or similar software.
  • Demonstrated proficiency using R, Python, SQL, AWS, Power BI.
  • Financial modeling and forecasting experience.
  • Must possess excellent analytical, problem-solving, leadership and decision-making skills 
  • Ability to properly access and prioritize multiple concurrent projects within deadline constraints 
  • Experience with financial and operational analysis methodologies and statistics 
  • Requires thoroughness, accuracy, excellent documentation skills, excellent oral and written communication skills, self-motivation and management skills, effective presentation skills and the ability to work in a team environment 
  • Advanced knowledge of data management, including database and spreadsheet applications, with the ability to develop and use complex models or specialized computer applications 
  • Ability to work in an entrepreneurial environment with a wide range of responsibilities 
  • Proven ability to use analytical, statistical, and programming skills to collect and analyze large data sets

Preferred Skills: 

  • Superior analytical and problem solving skills, strong interpersonal communications skills, facilitation, empowerment and motivational skills with the ability to thrive in an individual or team environment 
  • Excellent verbal and written communication skills 
  • Proven analytical skills and proficient computer applications knowledge 
  • Must be dependable, self- motivated and able to work independently 
  • Rational understanding for analytical computer programs and modeling tools preferred 
  • Proven multi-tasking skills 
  • Attention to details and timely completion of required tasks 

Working Conditions:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.

  1. Normal office working conditions.
  2. Must be able to remain in a stationary position 50% of the time due to prolonged periods of sitting or standing.
  3. Occasional overnight travel may be required.
  4. Occasional visits to industrial/manufacturing settings, which may include exposure to various materials and chemicals, as well as extreme temperature conditions and loud machinery, and require appropriate personal protective equipment.

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