ZipRecruiter

Log In

1

Data Analysis Manager Jobs in Florida (NOW HIRING)

JPMorgan Chase & Co.

Business Analyst Manager

Tampa, FL · On-site

As a VP, Business Analysis Manager within JPMorganChase, you will lead a high-performing team of Data Analysis Associates to drive operational efficiency and strategic fraud initiatives spanning Core ...

JPMorgan Chase & Co

Business Analyst Manager

Tampa, FL · On-site

As a VP, Business Analysis Manager within JPMorganChase, you will lead a high-performing team of Data Analysis Associates to drive operational efficiency and strategic fraud initiatives spanning Core ...

JP Morgan Chase

Business Analyst Manager

Tampa, FL · On-site

As a VP, Business Analysis Manager within JPMorganChase, you will lead a high-performing team of Data Analysis Associates to drive operational efficiency and strategic fraud initiatives spanning Core ...

CFS

FP&A Manager

Bradenton, FL · Hybrid

Collaborative leadership team that values data-driven insights * Long-term growth potential within the finance organization Key Responsibilities for the FP&A Manager * The FP&A Manager will lead all ...

DaSi AG

Data Analytics Manager

Doral, FL · On-site

The Data Analytics Manager will lead the development and execution of Business Intelligence ... pricing analysis, and identification of operational risks and trend * Partner with Sales ...

DASI LLC

Data Analytics Manager

Doral, FL · On-site

The Data Analytics Manager will lead the development and execution of Business Intelligence ... pricing analysis, and identification of operational risks and trend * Partner with Sales ...

Sixt

Financial Analysis Manager

Fort Lauderdale, FL · On-site

$100K - $132K/yr

You assess OEM purchase opportunities and provide data-driven recommendations on buy, hold, and ... managing multiple priorities while delivering high-quality analysis and projects in a fast-paced ...

SIXT

Financial Analysis Manager

Fort Lauderdale, FL · On-site

$100K - $131K/yr

Your analysis will directly influence how SIXT acquires, manages, and maximizes the value of one of ... You assess OEM purchase opportunities and provide data-driven recommendations on buy, hold, and ...

Sixt

Financial Analysis Manager

Fort Lauderdale, FL · On-site

$100K - $131K/yr

SIXT is looking for a highly analytical and strategic Financial Analysis Manager to join our Fleet ... You assess OEM purchase opportunities and provide data-driven recommendations on buy, hold, and ...

InstantServe LLC

Data Analyst

Tallahassee, FL · On-site

Experience working with data analysis and reporting tools. * Basic understanding of relational ... Ability to manage multiple priorities in a fast-paced environment. Preferred Skills:- * Snowflake

US Hunger

Fall 2026 Data Analytics Intern

Longwood, FL · On-site

Food Insecurity and Partner Data Analysis * Collaborate with the Client Experience Manager and Data & Research Writer to generate meaningful insights on food insecurity trends and the impact of U.S.

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 ...

next page

Showing results 1-20

All 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 Jun 13, 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, and why are they important?

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.

What does a data analyst manager do?

A data analysis manager oversees data teams to collect, analyze, and interpret data to support business decisions. They develop strategies, ensure data quality, and communicate insights to stakeholders, often using tools like SQL, Excel, and data visualization software. Strong leadership, analytical skills, and knowledge of data management are essential for this role.

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.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, but Data Analysis Managers and analysts remain essential for interpreting complex data, making strategic decisions, and ensuring data quality. AI enhances productivity and supports decision-making, but human expertise is still critical for nuanced analysis and business insights.

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.

Is 40 too late for data science?

For a Data Analysis Manager, age is not a barrier to entering or advancing in data science. Success depends on skills, experience, and continuous learning, such as mastering tools like SQL, Python, or R, regardless of age. Many professionals transition into data roles later in their careers and find opportunities based on their expertise and adaptability.

Is a data analyst well paid?

Data analysts are generally well paid, with salaries varying based on experience, location, and industry. Entry-level positions typically start around $50,000 annually, while experienced analysts or those with specialized skills like SQL or Python can earn over $80,000 or more per year.
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
Business Analyst Manager

Business Analyst Manager

JPMorgan Chase & Co.

Tampa, FL • On-site

Full-time

Medical, Retirement

Posted 3 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 469 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Job Description
Join our dynamic team as a Vice President, Business Analysis Manager and make a significant impact by supporting process improvements and key initiatives. Expand your creative skills in a collaborative environment while advancing your career. Be part of the Corporate & Investment Banking (CIB) Payments Operations team, the largest global cash management provider, striving for service excellence through client focus, technology solutions, and workforce innovation.
As a VP, Business Analysis Manager within JPMorganChase, you will lead a high-performing team of Data Analysis Associates to drive operational efficiency and strategic fraud initiatives spanning Core Cash and Commercial Card within CIB Payments Operations. You will leverage your advanced understanding of data analytics and automation technologies to uncover patterns, analyze complex data sets, and propose innovative solutions. Your expertise in cross-functional collaboration will enable you to work effectively with diverse teams-including Fraud Strategy, Machine Learning, Technology, Product and Operations-ensuring alignment with business strategies and a robust governance framework. You will coach, mentor, and develop your team, manage capacity and priorities, and oversee delivery quality and timelines. Your decisions and work results will have a significant impact on team and departmental goals, contributing to the overall success of the firm.
Job responsibilities
  • Lead and develop a team of Data Analysis Associates: set goals/OKRs, manage capacity and priorities, conduct 1:1s, coach and mentor, provide timely feedback, and oversee performance reviews and career development.
  • Own the roadmap and stakeholder alignment for Reporting & Analytics across Core Cash and Commercial Card in CIB Payments Operations; partner with Product, Risk, and Operations; provide executive-ready updates and land changes without client or operational disruption.
  • Drive analytics and decisioning: detect emerging fraud trends, quantify impact, and optimize rules; develop and explain algorithms/models and analytical logic to Management, Operations, Technology, and Compliance.
  • Own data pipelines end to end: define requirements with Technology and Operations from sourcing through consumption, automate ETL, and own portions of transaction monitoring coverage.
  • Lead quality, testing, and change management: plan and execute UAT, manage releases, and maintain documentation and logs for audit readiness.
  • Deliver reporting and visualization: produce ad hoc and recurring reporting; build and maintain dashboards and KPI views for fraud controls and client experience.
  • Strengthen controls and risk management: drive continuous process improvement and root-cause analysis, align with Governance/Controls, and promote standardization and reuse across the team.
  • Manage delivery and SLAs: monitor delivery quality and timelines, align work to SLAs, and handle escalations and stakeholder communications.
  • Champion ways of working and talent: run Agile ceremonies and product-owner activities (backlog, prioritization, delivery tracking) and partner on hiring, onboarding, and cross-training for resilient coverage.

Required qualifications, capabilities, and skills
  • Eight or more years of combined experience in data, analytics, or technology roles supporting fraud, risk, or operations.
  • Proven people leadership in coaching and developing team members through performance management, capacity planning, and effective delegation
  • Demonstrated ability to conduct data analysis and interpret complex data sets; strong problem solving and storytelling with data
  • Advanced proficiency in using automation/BI technologies to optimize processes and implement business strategies and controls
  • Excellent communication and stakeholder management; service mindset with strong analytical skills
  • Understanding of the software delivery lifecycle and industry-standard methodologies; familiarity with Agile ways of working
  • Hands-on experience with JIRA for backlog management, dashboards, and reporting
  • Undergraduate or Master's degree in Business, Finance, Mathematics, Computer Science, or related field
  • Experience with Alteryx, Tableau, Qlik/QlikSense or other BI tools to perform statistical/data analysis; dashboard-building experience
  • Advanced Microsoft Excel skills (pivot tables, macros, lookups); proficiency with PowerPoint, Access, Visio, Word
  • Understanding of business process/modeling concepts and governance/control principles; familiarity with data warehousing concepts (ETL, relational databases, big data such as Hadoop, S3)

Preferred qualifications, capabilities, and skills
  • Domain experience in fraud detection/anomaly detection and optimization of fraud rules/strategies; familiarity with Commercial and Investment Banking fraud trends, patterns, and features
  • Programming skills in SQL are a must; knowledge of Python and AWS Athena (or other cloud query engines)
  • Exposure to payments and card domains, including core cash rails (ACH, wires, RTP, checks) and commercial card controls (MCC anomalies, chargebacks/disputes, spend controls)
  • Experience working in Amazon Web Services cloud environments; GCP experience
  • Aptitude and curiosity for ML-adjacent solutions, partnering with data science on feature ideation and experimentation
  • Proficient ability to leverage AI tools, including effective prompt writing, to enhance analysis and provide actionable insights
  • Experience in technology/process release management with strong documentation and UAT coverage; comfort owning applications/systems and running business-critical processes

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply