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Financial Analyst Python Freelance Jobs in Kentucky

Atria Senior Living

Financial Analyst

Louisville, KY · On-site

The Financial Analyst - Pricing & Revenue Management is responsible for maintaining accurate and ... Working knowledge of programming or query languages (SQL, Python, or R) preferred; willingness to ...

Toloka

... using Python and AI, and communicating directly with customers. You should be a confident ... Analyze data to identify failure modes, inefficiencies, and opportunities for improvement.

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Financial Analyst Python Freelance information

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 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 most commonly searched types of Financial Analyst Python jobs in Kentucky? The most popular types of Financial Analyst Python jobs in Kentucky are:
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Financial Analyst Python Freelance jobs near you
Financial Analyst

Financial Analyst

Atria Senior Living

Louisville, KY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Holiday by Atria rating

5.6

Company rating: 5.6 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

We create communities where employees thrive in their work, helping our residents thrive in their homes.

Atria Senior Living’s corporate Support Center has openings for individuals looking for a career with outstanding benefits, including:

  • Paid holidays and PTO
  • Benefits package also includes Health, Dental, Vision, and Life Insurance
  • Retirement Savings Plan / 401(k) employer match
  • Tuition reimbursement (U.S Based Communities)

*Enrollment in benefits varies by employee classification

As a valued team member at Atria, you’ll work in a supportive environment that provides advancement opportunities and promotes a healthy work-life balance. Apply now!


The Financial Analyst – Pricing & Revenue Management is responsible for maintaining accurate and timely pricing data across internal tools, systems, and third-party platforms to support revenue optimization and operational performance. This role serves as a key point of coordination between field teams, Finance, Operations, Sales, and IT — ensuring pricing integrity across all channels and providing actionable data insights that drive business decisions

  • Maintain and update pricing across internal systems, third-party platforms, and pricing tools with accuracy and within established timelines.
  • Serve as a primary point of contact for field teams on pricing-related questions, updates, and implementation support.
  • Monitor and audit pricing data integrity across all systems, identifying and resolving discrepancies proactively.
  • Support the execution of pricing strategies, promotional changes, and revenue management initiatives.
  • Collaborate cross-functionally with Finance, Operations, IT, Sales, and Business Optimization teams to ensure pricing changes are communicated and implemented accurately.
  • Contribute to process improvement efforts that increase efficiency, reduce manual work, and strengthen data governance around pricing.
  • Support project coordination and implementation for new pricing tools, system integrations, or rate structure changes.
  • Perform additional analytical, reporting, and pricing-related duties as assigned.
  • May perform other duties as needed and/or assigned.

  • Bachelor's degree in Finance, Business, Economics, Data Analytics, or a related field; or equivalent work experience required.
  • Strong proficiency in Microsoft Office Suite, with advanced skills in Excel (pivot tables, VLOOKUP/XLOOKUP, Power Query) and PowerPoint.
  • Experience working with data visualization or business intelligence tools (e.g., Qlik, Power BI, Tableau) preferred.
  • Working knowledge of programming or query languages (SQL, Python, or R) preferred; willingness to learn required.
  • Demonstrated ability or willingness to leverage AI tools (e.g., Microsoft Copilot, ChatGPT, or similar) to improve workflow efficiency, automate repetitive tasks, and accelerate data analysis.
  • Strong analytical mindset with attention to detail and a commitment to data accuracy.
  • Effective communication skills with the ability to work cross-functionally and support field teams.
  • May be required to travel up to 10% of the time; travel subject to change based on business needs.

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