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

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

... senior leadership. * Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical ...

Showing results 21-40

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 Sep 4, 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 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 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 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 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 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 are popular job titles related to Senior Python Data Analysis jobs in Orlando, FL?

For Senior Python Data Analysis jobs in Orlando, FL, the most frequently searched job titles 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, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $132,537 per year, or $63.7 per hour.

Full-time

Posted 6 days ago


Job description

Key Responsibilities
  • Develop and implement statistical models, predictive analytics solutions, and machine learning models to address complex business problems.
  • Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable insights.
  • Apply advanced statistical techniques, including regression analysis, decision trees, predictive modeling, and machine learning.
  • Translate data and quantitative analysis into actionable recommendations for Business Development, Marketing, and senior leadership.
  • Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI.
  • Develop dashboards, reports, and data visualizations to communicate analytical findings.
  • Partner with cross-functional stakeholders to define project objectives, deliverables, and analytical approaches.
  • Manage project deliverables and timelines, proactively communicate status, and escalate risks or issues as needed.
  • Ensure data quality, accuracy, and consistency throughout the analysis and modeling lifecycle.
  • Clearly communicate complex statistical models, analytical results, and business implications to both technical and non-technical audiences.
  • Stay current with emerging technologies, including Artificial Intelligence (AI), machine learning, and advanced analytics, and evaluate their relevance to business needs.
Required Qualifications
  • Master’s degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field.
  • 7+ years of experience in Data Science, Data Analytics, Statistics, Predictive Analytics, or a related quantitative field.
  • Proven experience working with large datasets in enterprise-level environments.
  • Strong expertise in statistical modeling and predictive analytics.
  • Strong programming experience with Python.
  • Strong SQL skills for data extraction, transformation, and analysis.
  • Experience developing and deploying Machine Learning models.
  • Experience with Power BI for data visualization and reporting.
  • Experience working with Snowflake or similar cloud data platforms.
  • Strong analytical, problem-solving, and strategic thinking skills.
  • Excellent written and verbal communication skills, with the ability to explain complex quantitative concepts to business and executive audiences.
  • Strong attention to detail with a focus on data quality, accuracy, and reliable results.
Preferred Qualifications
  • Experience in the healthcare industry.
  • Experience working with healthcare claims data.
  • Experience with R and other statistical programming tools.
  • Experience with enterprise-scale data platforms and analytics environments.
  • Knowledge of emerging AI and advanced machine learning technologies.
  • Proficiency with Microsoft Office, including Excel, Word, PowerPoint, and Access.