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Manager Of Data Analytics Jobs in Florida (NOW HIRING)

TECO

Data Analytics Architect

Tampa, FL

Responsibility for ensuring that the organizations analytic data architecture effectively enables needed applications and develops standards in the areas of data modeling, metadata management, data ...

Tampa Electric

Data Analytics Architect

Tampa, FL · On-site

... of data model and ETL application deliverables and so is responsible for establishing and managing ... data analysts and provide coaching and mentoring to these BIA team members regarding technical ...

Tampa Electric

Data Analytics Architect

Tampa, FL · On-site

Responsibility for ensuring that the organizations analytic data architecture effectively enables needed applications and develops standards in the areas of data modeling, metadata management, data ...

TECO

Data Analytics Architect

Tampa, FL · On-site

Responsibility for ensuring that the organizations analytic data architecture effectively enables needed applications and develops standards in the areas of data modeling, metadata management, data ...

BankUnited

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data ... of innovative approaches and best practices * Performs any other assignments as directed by manager.

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All JobsOf Data Analytics JobsManager Of Data Analytics JobsManager Of Data Analytics Jobs in Florida

Manager Of Data Analytics information

See Florida salary details

$23.2K

$72.6K

$128.5K

How much do manager of data analytics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager of data analytics in Florida is $72,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $93,800.00 per year, depending on experience, location, and employer.

What does a manager of data analytics do?

A Manager of Data Analytics oversees a team responsible for collecting, analyzing, and interpreting large data sets to help organizations make informed business decisions. They develop data strategies, ensure data quality, and collaborate with other departments to identify opportunities for leveraging data-driven insights. Their role typically includes managing analytics projects, mentoring team members, and communicating findings to stakeholders in a clear and actionable manner.

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

To thrive as a Manager of Data Analytics, you need strong analytical abilities, expertise in data modeling, and a solid background in statistics or computer science, often supported by a bachelor's or master's degree. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and analytics platforms such as Python or R, along with experience in project management systems, is typically required. Excellent leadership, communication, and problem-solving skills help you effectively manage teams and convey insights to stakeholders. These skills are crucial for transforming complex data into actionable strategies that drive business performance and innovation.

What are the typical challenges faced by a manager of data analytics when leading a diverse analytics team?

A Manager of Data Analytics often encounters challenges such as aligning team members with varying technical backgrounds, ensuring clear communication of complex data insights to non-technical stakeholders, and balancing multiple project priorities. Additionally, fostering a culture of continuous learning is essential due to the rapid evolution of analytics tools and methodologies. Successful managers address these challenges by promoting collaboration, setting clear expectations, and providing ongoing professional development opportunities.

What is the difference between Manager Of Data Analytics vs Data Analyst?

AspectManager Of Data AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often some management experienceBachelor's degree in related field; entry to mid-level role
Work EnvironmentLeads teams, manages projects, collaborates with senior managementAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageUsed across industries to oversee analytics teams and strategiesCommonly employed to perform data analysis tasks within organizations

The main difference is that the Manager Of Data Analytics oversees analytics teams and strategies, requiring leadership skills and management experience, while Data Analysts focus on analyzing data and generating reports. The manager role involves higher-level responsibilities and team coordination, whereas data analysts execute specific data tasks to support business decisions.

Is data analytics a high paying job?

Data analytics is generally considered a well-paying field, especially for managers of data analytics who often earn above-average salaries due to their expertise in statistical tools, programming languages, and data visualization. Compensation varies based on experience, industry, and location, but advanced roles typically offer competitive pay and opportunities for bonuses or incentives.

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

The most popular types of Of Data Analytics jobs in Florida are:

What cities in Florida are hiring for Manager Of Data Analytics jobs?

Cities in Florida with the most Manager Of Data Analytics job openings:

Manager Of Data Analytics jobs near you

Manager of Data Science

Cliftonlarsonallen

Naples, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 days ago

CliftonLarsonAllen rating

6.7

Company rating: 6.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants

Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is looking to hire a Data Science Director to join our growing Internal IT team.

About the role:

CLA is looking to hire a Manger of Data Science

This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. They automate business workflows while integrating stochastic/numeric algorithms in the process. This role will develop more autonomy to develop solutions and will lead others, take on administrative tasks, perform support roles, and get involved in new business development.

As Manager of Data Science, you will have to following responsibilities:

Leadership
  • Provide daytoday leadership, coaching, development, and performance management.
  • Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across career stages.
  • Conduct workload planning, prioritization, and resource allocation to support multiple concurrent initiatives.
  • Build and sustain a highperforming team culture rooted in collaboration, quality, accountability, and innovation.

Technical Oversight

  • Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation.
  • Provide technical oversight and review of analytical approaches, models, and AI systems to ensure sound methodology, reproducibility, and scientific rigor.
  • Guide the development and application of advanced statistical, machine learning, and AI-driven solutions, including predictive models, computer vision, large language models (LLMs), and agent-based systems.
  • Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows.
  • Establish and evolve analytical and AI best practices, documentation standards, and technical frameworks across the team.
  • Ensure standards for model and AI system validation, monitoring, evaluation, documentation, and responsible AI use are consistently applied.
  • Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions.

Workflow Management

  • Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.
  • Translate business objectives into clear analytical and AI priorities, balancing near term delivery with long term capability building.
  • Oversee planning, prioritization, and resourcing across projects and teams.
  • Monitor solution performance, validation results, and model or AI system stability; guide troubleshooting of complex data, model, or AI issues.
  • Ensure solutions are productionized effectively, with clear ownership, monitoring, and integration into business workflows.
  • Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and governance.
  • Remove obstacles, manage risks, and ensure consistent execution across initiatives.

CrossFunctional Collaboration

  • Serve as a primary point of contact for business and functional leaders on analytics and AI initiatives.
  • Partner with stakeholders to define business questions, success metrics, analytical frameworks, and delivery expectations.
  • Coordinate work across teams, offices, and disciplines to ensure alignment of analytical and AI approaches and outcomes.
  • Communicate progress, risks, and results clearly to both technical and non technical audiences.
  • Evaluate and recommend adoption of new data sources, technologies, and analytical and AI tools.
  • Contribute to enterprise level analytics and AI strategy, including identifying high impact use cases and guiding their transition from concept to production.

What you will need:

8 years of relevant experience required.

  • Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required.
  • Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions required.
  • Supervisory experience required.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred.
  • Masters in a Data Science/Analytics/AI is a plus

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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.


What CliftonLarsonAllen employees say

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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012

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