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Data Analytics Jobs in Florida (NOW HIRING)

Red Lobster

Manager, Data Analytics & BI

Orlando, FL

Overview SUMMARY / OVERALL PURPOSE We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner ...

USAA

Director-HR Data & Analytics

Tampa, FL · On-site +1

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other ...

Hylant

Lead Data & Analytics Architect

Orlando, FL

This role ensures that current data initiatives are intentionally designed to meet today's analytical needs while enabling future innovation through scalable, secure, and wellgoverned platforms. The ...

Elevance Health

Pharmacist - Data Analytics

Lake Mary, FL

$51 - $61.25/hr

Pharmacist - Data Analytics Pharmacist LOCATION: This is a virtual eligible role. You must be within a reasonable distance of a PulsePoint. HOURS: General business hours, Monday through Friday, local ...

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How much do data analytics jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data analytics in Florida is $40.91, according to ZipRecruiter salary data. Most workers in this role earn between $32.88 and $46.35 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Florida? The most popular types of Data Analytics jobs in Florida are:
What are popular job titles related to Data Analytics jobs in Florida? For Data Analytics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Florida look for? The top searched job categories for Data Analytics jobs in Florida are:
What cities in Florida are hiring for Data Analytics jobs? Cities in Florida with the most Data Analytics job openings:
Data Analytics jobs near you
Manager, Data Analytics & BI

Manager, Data Analytics & BI

Red Lobster

Orlando, FL

Full-time

Re-posted 15 days ago

Red Lobster rating

5.9

Company rating: 5.9 out of 10

Based on 261 frontline employees who took The Breakroom Quiz

45th of 86 rated restaurants

Job description

Overview
SUMMARY / OVERALL PURPOSE
We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner while remaining hands-on in delivering impactful data solutions.
This role operates in a player-coach capacity, with an expected allocation of approximately 80% leadership, stakeholder engagement, delivery accountability, and team management and 20% hands-on contribution. The individual should be comfortable flexing into deeper hands-on involvement as business needs evolve, particularly in periods of transformation, critical delivery, or team capacity constraints. This role is responsible for driving enterprise reporting, advancing data engineering practices, and building a scalable analytics ecosystem that supports data-driven decision making across the business.
This role is not intended for candidates seeking a primarily hands-on development position, nor for leaders who are fully removed from technical execution.
This leader will oversee the design, development, and delivery of analytics and reporting solutions leveraging platforms such as Informatica IDMC, MicroStrategy, Power BI, and Oracle databases, while mentoring and developing a multidisciplinary team of architects and engineers.
ESSENTIAL/PRIMARY DUTIES, FUNCTIONS, AND RESPONSIBILITIES
  • Leadership & Team Development
    • Lead, mentor, and grow a high-performing analytics and BI team across reporting, data engineering, and visualization disciplines
    • Operate as a player-coach, balancing strategic leadership with hands-on contribution to critical initiatives
    • Establish team standards, best practices, and governance across analytics, reporting, and data pipelines
    • Foster a culture of accountability, continuous improvement, and business partnership
  • Analytics & Reporting Delivery
    • Oversee the development and delivery of enterprise reporting and dashboards using Power BI and MicroStrategy
    • Standardize metrics, definitions, and reporting frameworks to ensure consistency and trust in data
    • Ensure reporting solutions are scalable, accurate, and aligned to business KPIs
    • Drive adoption of self-service analytics capabilities across the organization
  • Data Engineering & Architecture
    • Provide technical leadership in building and optimizing data pipelines and integrations using Informatica IDMC
    • Oversee data modeling, transformation, and data quality processes within an Oracle-based data environment
    • Identify opportunities to drive efficiency through automation, standardization, and reusable data assets
    • Partner with architecture and IT teams to evolve modern data platforms and cloud strategies
    • Ensure strong data governance, lineage, and performance optimization practices
  • Strategy & Execution
    • Define and execute a roadmap for analytics modernization, including tools, platforms, and operating model
    • Align analytics initiatives with business priorities and ROI outcomes
    • Drive efficiencies through automation, standardization, and reusable data assets
    • Manage vendor relationships and tool optimization across BI and data platforms
  • Business Partnership & Strategic Influence
    • Lead the evolution of the analytics function from request-driven reporting to proactive business enablement, identifying opportunities, surfacing insights, and influencing decisions ahead of demand
    • Act as a strategic thought partner to business leaders, leveraging data to challenge assumptions, prioritize initiatives, and drive measurable outcomes
    • Establish a culture of ownership and curiosity, where the team actively seeks out "low-hanging fruit" and high-impact opportunities rather than waiting for intake

JOB REQUIREMENTS (SKILLS & EXPERIENCE)
  • 7+ years of experience in data analytics, BI reporting, or data engineering , with 2-4+ years in a leadership role
  • Proven experience in a player-coach capacity , balancing leadership and hands-on technical delivery
  • Strong expertise with:
    • Power BI (data modeling, DAX, dashboard development)
    • MicroStrategy (enterprise reporting and semantic layer design)
    • Informatica Intelligent Data Management Cloud (IDMC)
    • Oracle databases (SQL, performance tuning, data structures)
  • Familiarity with Python for data integration, automation, and analytics use cases, including API-driven workflows and potential expansion into advanced analytics
  • Familiarity with designing and evolving modern data architectures (such as lakehouse) and implementing near real-time data flows to support scalable, flexible analytics and advanced data use cases
    • Understanding data architecture and engineering practices that support AI/ML
  • Experience building and scaling data and analytics teams
  • Strong understanding of data warehousing, ETL/ELT processes, and data architecture principles
  • Ability to translate complex data into clear business insights and executive-level storytelling

PREFERRED QUALIFICATIONS
  • Experience in restaurant, retail, hospitality, or multi-unit operations environments
  • Exposure to cloud data platforms (e.g., Snowflake, Azure, AWS)
  • Familiarity with real-time or near-real-time data processing
  • Experience implementing data governance frameworks and data quality tools
  • Background supporting finance, operations, or customer analytics use cases

LEADERSHIP COMPETENCIES
  • Strong business decision-making mindset with ability to balance speed, quality, and cost
  • Excellent communication and stakeholder management skills
  • Ability to operate effectively in fast-paced, evolving environments
  • Demonstrated success building trusted partnerships across business and technology teams

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