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Business Analyst Sql R Python Jobs in Sarasota, FL

... data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis ... Emphasizes translating business questions into analytical frameworks and connects data science to ...

... planning & analysis, development, testing/user acceptance, deployment, and ongoing production ... Knowledge of Data Warehouse ETL, SQL, BI reporting * Experience with Data Lake/Lakehouse * Cognos ...

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Business Analyst Sql R Python information

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

As of Aug 17, 2026, the average hourly pay for business analyst sql r python in Sarasota, FL is $45.71, according to ZipRecruiter salary data. Most workers in this role earn between $34.28 and $57.21 per hour, depending on experience, location, and employer.

What is a business analyst SQL R Python?

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.

How do business analysts with 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 are the key skills and qualifications needed to thrive as a business analyst with SQL, R, and Python expertise?

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.

What are popular job titles related to Business Analyst Sql R Python jobs in Sarasota, FL?

For Business Analyst Sql R Python jobs in Sarasota, FL, the most frequently searched job titles are:

What cities near Sarasota, FL are hiring for Business Analyst Sql R Python jobs?

Cities near Sarasota, FL with the most Business Analyst Sql R Python job openings:

Investment Data Scientist - Python & Portfolio Analytics (Hybrid)

Raymondjames

Saint Petersburg, FL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Job Description Summary

Job Description

As part of the AMS Research team, the Investment Data Scientist plays a key role in developing, improving, and evaluating quantitative models that directly support investment decision-making and portfolio management. This is a hands-on technical role focused on writing production-quality Python code to analyze financial datasets, enhance portfolio construction methods, and automate investment workflows.


You'll collaborate closely with Investment Committee members, analysts, and other stakeholders to improve the investment process through portfolio optimization, statistical modeling, and process automation. You'll also develop interactive dashboards and visualizations that translate complex analytical outputs into actionable insights. This role requires strong analytical thinking, the ability to solve complex technical problems independently and collaboratively, and a commitment to delivering high-quality, validated results.

Essential Duties and Responsibilities

  • Develop and maintain robust Python code for portfolio construction, statistical analysis, and automation of investment workflows.

  • Design and implement portfolio optimization algorithms.

  • Apply advanced statistical methods to extract insights from financial datasets.

  • Collaborate with Investment Committee members, analysts, and quant team members to align model development with investment objectives and operational needs.

  • Build automated processes to eliminate manual tasks, reduce errors, and improve workflow efficiency.

  • Create interactive dashboards and visualizations to communicate analytical findings.

Knowledge, Skills, and Abilities

Core Knowledge (Required):

  • Python libraries for data manipulation and array mathematics: pandas, NumPy, SciPy, and optimization libraries such as CVXPY.

  • Statistical modeling and optimization: mixed integer programming, regressions, time series, and Monte Carlo simulation.

  • Data visualization: Streamlit, Tableau, Power BI, Plotly Dash, or similar platforms.

  • Quantitative finance: portfolio construction methods, risk modeling, and financial data analysis.

Preferred Knowledge:

  • Financial markets, investment products, and portfolio theory.

  • Performance measurement and attribution methodologies.

  • Django framework for database management.

  • Advanced investment concepts and practices in the securities industry.

Technical Skills:

  • Writing clean, documented, and version-controlled Python code.

  • Translating business problems into quantitative models and technical solutions.

  • Building and maintaining automated workflows.

  • Creating clear, intuitive data visualizations for non-technical audiences.

  • Validating and testing models to ensure accuracy and reliability.

  • Performing performance calculations and financial data analysis.

Abilities:

  • Work independently and collaboratively in a fast-paced team environment.

  • Deliver accurate, high-quality analytical work through rigorous testing and validation.

  • Manage multiple projects with competing deadlines.

  • Communicate complex technical concepts clearly to non-technical stakeholders.

  • Debug code, validate results, and ensure analytical accuracy.

  • Balance attention to detail with strategic thinking.

  • Adapt to changing priorities and requirements.

  • Learn new quantitative techniques and investment concepts quickly.

  • Promote team effectiveness through knowledge sharing and collaboration.

Educational and Experience Requirements

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or a related quantitative field.

  • 3-6 years of hands-on experience with Python development and quantitative analysis.

  • Demonstrated experience building optimization models, statistical systems, and/or automated workflows.
    OR

  • Any equivalent combination of experience, education, and/or training approved by Human Resources.

Education

Bachelor's: Computer and Information Science, Bachelor's: Economics, Bachelor's: Engineering, Bachelor's: Finance, Bachelor's: Mathematics, Bachelor's: Physics, Bachelor's: Statistics

Work Experience

General Experience - 3 to 6 years

Certifications

Travel

Less than 25%

Workstyle

Hybrid

The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.

At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
Grow professionally and inspire others to do the same
Work with and through others to achieve desired outcomes
Make prompt, pragmatic choices and act with the client in mind
Take ownership and hold themselves and others accountable for delivering results that matter
Contribute to the continuous evolution of the firm

At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.