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Business Analyst Sql R Python Jobs in Palmetto, FL

GuardianPointe

Actuarial Analyst

Bradenton, FL · Remote

... as SQL, R, or Python. * Perform data validation and exploratory analysis to surface trends ... Conduct actuarial pricing analyses for personal lines and Business Owners Policy (BOP) products ...

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How much do business analyst sql r python jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for business analyst sql r python in Palmetto, FL is $42.98, according to ZipRecruiter salary data. Most workers in this role earn between $32.26 and $53.80 per hour, depending on experience, location, and employer.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.
What job categories do people searching Business Analyst Sql R Python jobs in Palmetto, FL look for? The top searched job categories for Business Analyst Sql R Python jobs in Palmetto, FL are:
What cities near Palmetto, FL are hiring for Business Analyst Sql R Python jobs? Cities near Palmetto, FL with the most Business Analyst Sql R Python job openings:
Business Analyst Sql R Python jobs near you
Infographic showing various Business Analyst Sql R Python job openings in Palmetto, FL as of June 2026, with employment types broken down into 1% As Needed, 57% Full Time, 31% Part Time, 8% Temporary, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $89,397 per year, or $43 per hour.

Actuarial Analyst

GuardianPointe

Bradenton, FL • Remote

Full-time

Posted 6 days ago

Job description

Salary: Based on Experience

Summary: The Actuary Analyst/Actuary will play a crucial role in the pricing of personal lines and Business Owners Policy (BOP) products within GuardianPointe. This position requires a professional with hands-on pricing experience in the Property and Casualty insurance industry and the completion of at least two actuarial exams. The ideal candidate will focus on developing, refining, and supporting pricing and rate-making analyses to drive profitable growth and sound, risk-based decision-making.

Duties and Responsibilities include the following. Additional duties may be assigned.

  • Data Management:
    • Extract, manipulate, and clean large datasets from multiple sources to ensure accuracy, consistency, and readiness for analysis.
    • Build and maintain queries, databases, and automated data workflows using tools such as SQL, R, or Python.
    • Perform data validation and exploratory analysis to surface trends, anomalies, and key drivers of loss experience.
  • Actuarial Analysis:
    • Conduct actuarial pricing analyses for personal lines and Business Owners Policy (BOP) products, including loss cost analysis, rate level indications, rate adequacy, and profitability reviews.
    • Develop, maintain, and refine actuarially sound pricing models and rating algorithms, applying statistical, predictive-modeling, and data-mining techniques to select rating variables, estimate loss costs, and project future claims.
    • Support the end-to-end rate change process and prepare rate filings and formal indications, ensuring rating rules, manual pages, and premium logic comply with state regulatory requirements.
    • Reporting and Documentation:
      • Prepare detailed reports and presentations for management and stakeholders.
      • Document data sources, assumptions, and actuarial methodologies.
      • Ensure compliance with regulatory requirements and professional standards.