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Data Analysis Manager Jobs in Florida (NOW HIRING)

WorkNovas LLC

Data Product Manager

Juno Beach, FL · On-site

Engage in competitive analysis to identify differentiation opportunities. * Utilize data-driven ... Stakeholder Management: * Engage with stakeholders across the organization to gather requirements ...

Enfinity Global

Senior FP&A Manager

Miami, FL · On-site

$104K - $142K/yr

Ongoing management of operational data. Analysis and materials * Support ongoing cash flow and capital analysis, what-if scenarios, cashflow forecasts, etc. * Assist in the development and ...

Enfinity Global

Senior FP&A Manager

Miami, FL · On-site

$104K - $142K/yr

Ongoing management of operational data. Analysis and materials * Support ongoing cash flow and capital analysis, what-if scenarios, cashflow forecasts, etc. * Assist in the development and ...

Seacoast Bank

FP&A Manager

Stuart, FL · On-site

Financial Planning and Analysis manager's main role is to translate financial data and results into performance metrics and actionable items to assist the Bank with achieving its overall financial ...

ACI Infotech

Data Analyst

Tampa, FL · On-site

Experience in analysis using multiple data sources (ERP, CRM, SQL, APIs, etc.). Financial data experience. Power BI: data transformation (power query M language), data modelling( DAX), workspace, PBI ...

Stellar IT Group

Data Analyst

Miami, FL · On-site

Ensure data accuracy and integrity across CRM and RevOps systems. Required Skills * 3+ years in data analysis or business intelligence, preferably in SaaS/technology. * Strong SQL expertise (complex ...

ProAmpac

Manager - FP&A (Manufacturing)

Orlando, FL · On-site

The FP&A Manager will lead forecasting, planning, financial modeling, and operational analysis efforts while translating complex financial and manufacturing data into actionable business insights.

Exactech

Corporate FP&A Manager

Gainesville, FL

$95K - $125K/yr

The Corporate FP&A Manager is responsible for leading core financial planning, forecasting, and ... Ability to synthesize complex data into clear insights for decision-makers * Strong business acumen ...

The GEO Group

DATA INTELLIGENCE INTERN

Boca Raton, FL

$20/hr

From the development of state-of-the-art facilities and the provision of management services and ... The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by ...

The GEO Group

DATA INTELLIGENCE INTERN

Boca Raton, FL

$20/hr

From the development of state-of-the-art facilities and the provision of management services and ... The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by ...

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

... management, and controls assurance processes * Hands-on experience applying data science to real-world business, governance and compliance challenges * Development of analytics, automation, and ...

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All JobsData Analysis JobsData Analysis Manager JobsData Analysis Manager Jobs in Florida

Data Analysis Manager information

See Florida salary details

$16.8K

$66.3K

$107.6K

How much do data analysis manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analysis manager in Florida is $66,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $81,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Florida?

The most popular types of Data Analysis jobs in Florida are:

What are popular job titles related to Data Analysis Manager jobs in Florida?

For Data Analysis Manager jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Analysis Manager jobs in Florida look for?

The top searched job categories for Data Analysis Manager jobs in Florida are:

What cities in Florida are hiring for Data Analysis Manager jobs?

Cities in Florida with the most Data Analysis Manager job openings:

Data Analysis Manager jobs near you
Infographic showing various Data Analysis Manager job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $66,258 per year, or $31.9 per hour.

Data Product Manager

WorkNovas LLC

Juno Beach, FL • On-site

Contractor

Re-posted 26 days ago

Job description

Role: Data Product Manager

 Juno Beach, FL
 

Contract

Position Overview: The Data Product Manager is responsible for leading the lifecycle of data-centric products, focusing on product discovery to ensure alignment with user needs and business value.
Key Responsibilities
Product Strategy and Vision:
• Define data product strategy and vision aligned with NEE and Data Office goals.
• Develop a product roadmap that evolves with changing user needs.
• Identify Enterprise Data opportunities and user needs through research and analysis.
Product Discovery:
• Conduct design sessions with business unit stakeholders to ideate and yield draft product requirements.
• Conduct user interviews and surveys to gather insights and validate product concepts.
• Develop mockups and conduct usability testing.
• Engage in competitive analysis to identify differentiation opportunities.
• Utilize data-driven techniques to uncover emerging trends and inform discovery.
Product Development and Tech Oversight:
• Partner with engineering, solution architects, and business unit stakeholders to translate discovery insights into product features.
• Prioritize features and functionalities based on business impact and technical feasibility.
Stakeholder Management:
• Engage with stakeholders across the organization to gather requirements and communicate product status.
• Advocate for product within the company and ensure alignment with business objectives.
• Provide training and support for users and stakeholders to maximize product adoption.
Data Analysis and Insights:
• Utilize data analysis tools to derive insights and inform product decisions.
• Ensure the accuracy and quality of data within products.
Performance Metrics and Reporting:
• Define and monitor KPIs to assess product performance and return on investment (e.g., product-level Profit and Loss forecasting and analysis).
• Manage budget for product development and ensure optimal resource allocation.
• Prepare reports and presentations to communicate results and insights.
• Create product collateral (e.g. Product Charters, case studies, 1-pagers).
Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related analytical field.
• Master’s degree in an analytical field.
• Experience in product management, with a focus on data products and discovery.
• Strong technical background with an understanding of data technologies and tools.
• Excellent communication skills and ability to work cross-functionally.
Skills:
• Proficiency in data analysis, data warehousing, and other data software architecture considerations.
• Software development experience (e.g. knowledge of data modeling, ETL processes, CI/CD workflows, alerts and error handling).
• Understanding of product lifecycle management.
• Experience with data visualization and reporting tools.
Strong skills in product discovery, user research, and prototype testing.