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

... data with various databases and data warehouses such as PostgreSQL and Snowflake Preferred Qualifications: โ€ข Proficient in React, Python, and Django โ€ข Proficient with Next.js โ€ข Proficient in ...

Senior Data Analyst - CRM

Orlando, FL ยท On-site

$80K - $101K/yr

The Sr. Data Analyst will partner with Commercial, Operations, Technology, and Business ... Experience with data analysis and visualization tools such as Python, R, SQL, Power BI, Tableau, or ...

Senior Data Engineer ID75059

Orlando, FL ยท On-site +1

$99K - $134K/yr

You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ... advanced analytics; - Act as a technical consultant for stakeholders and leadership to gather ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... Advanced skills in SQL, Python and/or R * Familiarity in visualization tools such as Tableau ...

Senior Transportation Data Analyst

Orlando, FL ยท On-site

$98K - $148K/yr

Statistical analysis experience * Prescriptive and predictive analysis for operations, planning ... Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ...

Data Analyst

Lake Mary, FL ยท On-site

$55 - $62/hr

Data Analysis, MDM Conceptual 10-year experience on data analytical skills. 5 experience to compose ... Technical Skills Proficiency in SQL and experience with programming languages such as Python or R ...

Data Analyst

Orlando, FL ยท On-site

$70 - $73/hr

S. Data Analyst The ideal candidate combines strong statistical fundamentals with hands-on ... Build reusable Python-based analysis pipelines and tooling (e.g., using pandas, numpy, scipy ...

Data Engineer

Orlando, FL ยท Remote

$60/hr

Must Have: - Strong experience with MS Fabric including semantics, notebooks (codes written in Python). - Data extraction experience and integration with Data warehouse. - Azure Synapse Analytics ...

... analytics, reporting, and machine learning use cases across Disney Experiences. This role ... Strong knowledge of Python and object-oriented programming concepts * Working knowledge of Java ...

Senior Data Analyst

Altamonte Springs, FL ยท On-site

$80K - $101K/yr

Understanding of compliance and governance in modern data platforms. Candidate Profile * Senior analyst mindset with strong attention to detail and a collaborative attitude. * Desire to grow into an ...

Key responsibilities Data Analysis & Reporting: Collect, clean, analyze, and interpret complex data ... Python, SQL, Snowflake, Tableau, Dynatrace, and AWS By providing your phone number, you consent to ...

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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 Jul 25, 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, and why are they important?

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 July 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Hybrid job distribution, with an average salary of $132,537 per year, or $63.7 per hour.

SENIOR DATA ANALYST

ONE ALLIANCE INSURANCE MANAGERS INC

Orlando, FL โ€ข On-site

$80K - $101K/yr

Full-time

Posted 21 days ago


Job description

General Description:

The Senior Data Analyst is responsible for leading advanced reporting, analytics, and business intelligence initiatives within the Information Technology organization. This role partners closely with executive leadership, business stakeholders, and data engineering teams to deliver high-impact analytical solutions that drive operational performance, strategic decision-making, and enterprise growth.

The Senior Data Analyst designs scalable reporting frameworks, develops enterprise-grade dashboards and paginated reports, and performs advanced data analysis using modern tools and statistical techniques. This position serves as a subject matter expert in SQL Server, Power BI, and data modeling, while mentoring junior analysts and promoting data governance, automation, and analytical best practices.

Essential Duties and Responsibilities:

Enterprise Reporting & Business Intelligence

  • Lead development of executive dashboards and operational reporting solutions using Power BI and Power BI Paginated Reports
  • Design scalable semantic models (star schema, dimensional modeling) aligned with enterprise data standards
  • Deliver daily, weekly, monthly, and ad-hoc reporting with a focus on automation, accuracy, and performance
  • Ensure consistency and reconciliation across financial, underwriting, claims, sales, and operational reports

Advanced Data Analysis

  • Perform complex data analysis using SQL Server, Python (pandas, NumPy), and statistical techniques
  • Identify trends, patterns, anomalies, and business drivers within large datasets
  • Translate business questions into structured analytical approaches and actionable insights
  • Develop data validation and reconciliation processes to improve trust in enterprise reporting

Data Modeling & Query Optimization

  • Write advanced T-SQL queries, views, and stored procedures optimized for performance
  • Collaborate with Data Engineering on data models and data product design
  • Optimize report performance through indexing strategies, query tuning, and model design improvements

Automation & Process Improvement

  • Automate recurring reports and analytical workflows
  • Replace manual Excel-based processes with scalable BI solutions
  • Implement quality checks and monitoring processes to reduce reporting risk

Strategic Partnership

  • Serve as analytical advisor to department leaders and executives
  • Participate in requirements gathering sessions and translate business needs into technical deliverables
  • Present findings clearly to both technical and non-technical audiences
  • Contribute to roadmap discussions for analytics platform modernization

Mentorship & Governance

  • Mentor junior analysts on SQL, data modeling, visualization best practices, and documentation standards
  • Promote consistent definitions, KPIs, and metadata usage across departments
  • Contribute to documentation, wiki content, and data dictionary standards

Additional Responsibilities

  • Contribute to project planning and task tracking
  • Successfully manage multiple initiatives simultaneously
  • Perform other duties as required

Education and/or Experience:

  • Bachelorโ€™s degree in Information Systems, Computer Science, Data Analytics, or related discipline required
  • 6+ years of progressive experience in data analysis, business intelligence, or analytics roles
  • Advanced proficiency in Microsoft SQL Server (T-SQL, stored procedures, query optimization)
  • Strong expertise in Power BI (data modeling, DAX, report design, paginated reports)
  • Experience designing dimensional data models (fact/dimension tables, star schema)
  • Proficiency in Python for data analysis (pandas, NumPy; scikit-learn a plus)
  • Experience with Azure-based data environments and modern data platforms preferred
  • Strong understanding of data quality validation, reconciliation, and governance practices
  • Familiarity with Machine Learning concepts and predictive modeling methodologies preferred
  • Experience working in Property & Casualty Insurance a must
  • Familiarity with ticketing systems used to assign and track work
  • Strong written and oral communication skills