1

Senior Python Data Analysis Jobs in Orlando, FL (NOW HIRING)

Data Scientist- Associate

Orlando, FL · On-site

$55K - $55K/yr

... senior team members in the implementation of RAG pipelines and context engineering systems by ... Python for data analysis; familiarity with LLMs and frameworks like LangChain is preferred • ...

Senior Software Engineer

Orlando, FL · On-site

$120 - $180/hr

Develop automated logging, reporting, traceability, and data-analysis capabilities. * Integrate ... Python * Java * Similar object-oriented programming languages * Experience developing Windows ...

Sr Systems Test Engineer

Orlando, FL · Hybrid

$97K - $133K/yr

The Senior System Test Engineer is responsible for planning, developing, and executing system ... Proficiency in Python, MATLAB, or similar scripting languages for automation and data analysis ...

Data Analyst

Orlando, FL · On-site

$20 - $22/hr

Data Analyst Location: Orlando, FL Work Arrangement: Onsite Client Industry: Banking Client ... support of the Senior Analyst or above; actively contribute to the culture of the center by ...

Data Analyst

Orlando, FL · On-site

$20 - $22/hr

Data Analyst Location: Orlando, FL Work Arrangement: Onsite Client Industry: Banking Client ... support of the Senior Analyst or above; actively contribute to the culture of the center by ...

Data Analyst

Orlando, FL · On-site

$20 - $22/hr

Data Analyst Location: Orlando, FL Work Arrangement: Onsite Client Industry: Banking Client ... support of the Senior Analyst or above; actively contribute to the culture of the center by ...

Showing results 41-60

Senior Python Data Analysis information

See Orlando, FL salary details

$51.3K

$132.5K

$182K

How much do senior python data analysis jobs pay per year?

As of Aug 15, 2026, the average yearly pay for senior python data analysis in Orlando, FL is $132,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $152,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior Python data analyst?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges senior Python data analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a senior Python data analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.

What are the most commonly searched types of Python Data Analysis jobs in Orlando, FL?

The most popular types of Python Data Analysis jobs in Orlando, FL are:

What job categories do people searching Senior Python Data Analysis jobs in Orlando, FL look for?

The top searched job categories for Senior Python Data Analysis jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Senior Python Data Analysis jobs?

Cities near Orlando, FL with the most Senior Python Data Analysis job openings:

Infographic showing various Senior Python Data Analysis job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,537 per year, or $63.7 per hour.

Data Scientist- Associate

KPMG US

Orlando, FL • On-site

$55K - $55K/yr

Full-time

Posted 8 days ago


Job description

Job Summary:
KPMG is a renowned company providing audit, tax, and advisory services across important industries. They are currently seeking a Data Scientist to join their Audit Technology Alliance organization, focusing on developing generative AI solutions and collaborating with teams to enhance technology applications.
Responsibilities:
• Develop and implement core components of generative AI solutions, including RAG pipelines and context engineering features, within our established architecture; driving quality into prompt engineering and optimization for business use cases
• Support senior team members in the implementation of RAG pipelines and context engineering systems by building and testing specific modules
• Collaborate with AI engineers and other data scientists to integrate model outputs into the broader microservice architecture
• Focus on learning and applying our technology stack, including LangChain/LangGraph, Azure AI Search, and our AKS-based infrastructure
• Drive product advancement by diligently executing experiments, documenting results, and contributing to our culture of continuous improvement
• Participate actively in agile ceremonies and contribute to the team's collective knowledge of generative AI, audit methodologies, and best practices
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering
• Minimum of a Bachelor's degree is required
• Foundational knowledge of machine learning concepts and Python for data analysis; familiarity with LLMs and frameworks like LangChain is preferred
• Exposure to cloud platforms (preferably Azure) and data platforms like Databricks or Microsoft Fabric
• Familiarity with the principles of the software development lifecycle (SDLC) and version control tools like ADO and Github
• Strong analytical and problem-solving skills, with an eagerness to learn and a collaborative, team-oriented mindset (200TEC)
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Preferred:
• Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred
• Familiarity with LLMs and frameworks like LangChain is preferred
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.