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Investment Data Analyst Jobs in Florida (NOW HIRING)

STEMboard

Data Analyst

Hurlburt Field, FL · On-site

We invest in the community: STEMBoard boasts a lively education and outreach program that teaches engineering to the historically underserved. Principal Duties and Responsibilities: * Data analysts ...

STEMboard

Data Analyst

Hurlburt Field, FL · On-site

We invest in the community: STEMBoard boasts a lively education and outreach program that teaches engineering to the historically underserved. Principal Duties and Responsibilities: * Data analysts ...

AJAIA

Data Analyst Researcher

Fort Lauderdale, FL · On-site

We partner with promising edtech companies, evaluate their effectiveness, and use those insights to support investment, growth, and go-to-market decisions. As the Data Analyst Researcher , you'll ...

AJAIA

Data Analyst Researcher

Fort Lauderdale, FL · On-site

We partner with promising edtech companies, evaluate their effectiveness, and use those insights to support investment, growth, and go-to-market decisions. As the Data Analyst Researcher , you'll ...

Luxoft

Senior Data Analyst

Tampa, FL · On-site

$90 - $150/hr

Project description You will join a Regulatory Reporting Platform within a large US investment bank ... This is a large-scale, business-critical data platform operating in a highly regulated environment ...

SNI Technology

Data Analyst/Report Writer

Kissimmee, FL · On-site

$120K/yr

The organization is investing heavily in centralized business intelligence capabilities, and this ... Strong SQL skills with the ability to query and analyze data from multiple sources. * Proven ...

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All JobsInvestment Data Analyst JobsInvestment Data Analyst Jobs in Florida

Investment Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do investment data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for investment data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

What does an investment data analyst do?

An Investment Data Analyst collects, processes, and analyzes financial data to support investment decisions. They work with large datasets, using statistical tools and software to identify trends and insights. Their role involves ensuring data accuracy, building financial models, and generating reports for portfolio managers and stakeholders. Strong analytical skills and proficiency in programming languages like Python or SQL are often required.

What are the key skills and qualifications needed to thrive as an investment data analyst?

To thrive as an Investment Data Analyst, you need strong quantitative analysis skills, proficiency in financial modeling, and a degree in finance, economics, statistics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages (such as Python, R, or SQL), and industry certifications like CFA or FRM can be highly advantageous. Attention to detail, critical thinking, and the ability to communicate complex data insights to both technical and non-technical stakeholders are essential soft skills. These competencies help ensure accurate, actionable investment insights and effective collaboration in dynamic finance environments.

What does a typical day look like for an investment data analyst?

As an Investment Data Analyst, your day often involves gathering and cleaning large financial datasets, conducting quantitative analyses to evaluate investment opportunities, and preparing detailed reports or visualizations for portfolio managers and decision-makers. You may collaborate closely with analysts from different departments, attend team meetings to discuss market trends, and use specialized financial software to model scenarios. Regular responsibilities also include monitoring portfolio performance, researching industry news, and identifying data-driven insights to support strategic investment decisions. The role is dynamic and analytical, providing continuous learning opportunities and exposure to various asset classes.

Do investment data analysts make good money?

Investment data analysts typically earn competitive salaries that vary based on experience, education, and location. According to industry reports, median annual pay ranges from $60,000 to $90,000, with higher earnings possible for those with advanced skills in data analysis tools and financial modeling. Certifications like CFA or CFA Level I can also enhance earning potential.

What is the role of an investment data analyst?

An investment data analyst is responsible for collecting, analyzing, and interpreting financial data to support investment decisions. They use tools like Excel and data analysis software to identify trends, assess risks, and provide insights to portfolio managers and stakeholders. Strong analytical skills and knowledge of financial markets are essential for this role.

What are popular job titles related to Investment Data Analyst jobs in Florida?

For Investment Data Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Investment Data Analyst jobs in Florida look for?

The top searched job categories for Investment Data Analyst jobs in Florida are:

Investment Data Analyst jobs near you
Infographic showing various Investment Data Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Investment Data Scientist - Python & Portfolio Analytics (Hybrid)

Raymond James Financial, Inc.

Saint Petersburg, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 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.

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