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Data Analytics Engineer Jobs in Tampa, FL (NOW HIRING)

Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging ...

Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging ...

Develop and implement data collection methods: Establish and execute processes to systematically collect key performance metrics throughout each supported mission. Champion operational procedures ...

Data Engineer - Senior Manager

Tampa, FL · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

We are seeking a hands-on CRM Analytics Engineer to help build and maintain the analytics ... Analytical Data Modeling * Build and maintain CRM Analytics datasets, recipes, dataflows, and ...

We are seeking a hands-on CRM Analytics Engineer to help build and maintain the analytics ... Analytical Data Modeling * Build and maintain CRM Analytics datasets, recipes, dataflows, and ...

We are seeking a hands-on CRM Analytics Engineer to help build and maintain the analytics ... Analytical Data Modeling * Build and maintain CRM Analytics datasets, recipes, dataflows, and ...

We are seeking a hands-on CRM Analytics Engineer to help build and maintain the analytics ... Analytical Data Modeling * Build and maintain CRM Analytics datasets, recipes, dataflows, and ...

CRM Analytics Engineer

Tampa, FL · On-site

$105K - $130K/yr

We are seeking a hands-on CRM Analytics Engineer to help build and maintain the analytics ... Analytical Data Modeling * Build and maintain CRM Analytics datasets, recipes, dataflows, and ...

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Data Analytics Engineer information

See Tampa, FL salary details

$40.5K

$118K

$161.5K

How much do data analytics engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analytics engineer in Tampa, FL is $118,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,100.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Tampa, FL?

The most popular types of Data Analytics Engineer jobs in Tampa, FL are:

What job categories do people searching Data Analytics Engineer jobs in Tampa, FL look for?

The top searched job categories for Data Analytics Engineer jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Data Analytics Engineer jobs?

Cities near Tampa, FL with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Tampa, FL as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $118,048 per year, or $56.8 per hour.

Contact Center Data Analytics Engineer II

Geico

Tampa, FL • On-site

Full-time

Posted 12 days ago


GEICO rating

8.1

Company rating: 8.1 out of 10

Based on 368 frontline employees who took The Breakroom Quiz

159th of 315 rated insurance


Job description

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

The Contact Center Data Analytics Engineer II is an experienced analytics professional responsible for building reliable data solutions, producing actionable insights, and helping guide more complex analytics work across contact center operations, IVR, automation, workforce management, product, and technology functions. This role carries the same core responsibilities as the Data Analytics Engineer I role, but with greater ownership, stronger technical depth, and a higher expectation to lead analysis, influence decisions, improve data practices, and help less-experienced team members solve problems effectively.

This is a hybrid position, requiring on-site presence 2-3 days a week at one of the following locations:Dallas, TX; Palo Alto, CA; Bethesda, MD; Buffalo, NY; San Diego, CA; Virginia Beach, VA; Fredericksburg, VA; Tampa, FL.

Key Responsibilities

  • Design, develop, test, deploy, and maintain more complex data structures, enterprise reports, dashboards, analytical systems, and visualizations that support operational and strategic decision-making.
  • Lead analysis of contact center, IVR, digital, customer, workforce, and system performance data to identify root causes, quantify business impact, and recommend practical actions.
  • Build and enhance reporting solutions using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and related analytics or monitoring tools used by the team.
  • Proactively detect operational or system issues by monitoring performance patterns, outliers, anomalies, and metric movement across contact center and IVR environments.
  • Translate complex business needs into technical requirements and scalable reporting or analytical solutions that can be used by operations, product, automation, workforce management, and technology partners.
  • Evaluate new internal and external data sources, validate data quality, and recommend ways to expand data warehouse, reporting, and self-service analytics capabilities.
  • Assist with the assessment and cultivation of long-term business intelligence, automation, and operational insight opportunities in partnership with business, engineering, data architecture, and data science teams.
  • Improve reporting standards, metric definitions, documentation, testing practices, and data governance controls for assigned subject areas.
  • Support and coach less-experienced analysts or engineers by reviewing work, sharing best practices, and helping the team use consistent development and validation practices.
  • Communicate complex insights clearly to technical and non-technical stakeholders and influence decisions through strong data storytelling, business context, and practical recommendations.

Required Qualifications

  • 2+ years of experience in business analytics, data analytics, product analytics, operations analytics, or a related analytical role.
  • 2+ years of experience querying complex systems using SQL and performing data analysis.
  • 2+ years of experience using analytical or programming languages such as Python, R, SAS, .NET, M, or DAX.
  • 1+ years of experience using source control, DevOps tools, or collaborative development practices.
  • 2+ years of experience developing business intelligence reporting or data visualizations in Power BI, Amazon QuickSight, Tableau, or similar tools.
  • Experience analyzing operational data, identifying root causes, and translating findings into business recommendations.
  • Ability to manage more complex assignments, work across multiple business partners, and operate with limited direction in a fast-moving environment.
  • BA/BS degree in computer science, statistics, analytics, operations research, economics, mathematics, or a related field.

Preferred Qualifications

  • Experience supporting contact center, IVR, customer service, workforce management, digital servicing, insurance, or financial technology environments.
  • Experience using Amazon CloudWatch or similar tools to monitor system, service, or operational performance and identify anomalies.
  • Experience with big data, cloud-based technologies, data warehousing, or data engineering concepts.
  • Experience working in Agile delivery environments with product owners, engineers, and business stakeholders.
  • Experience mentoring peers, reviewing analytics work, improving reporting standards, or helping teams adopt consistent development practices.


Annual Salary

$88,150.00 - $157,850.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.


At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company:Protecting customers through life's twists and turns with innovation and integrity.

Great Careers:Personalized development programs, mentorship, and certification assistance.

Great Culture:Inclusive and collaborative culture rooted in shared success.

Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.


What GEICO employees say

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Benefits

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About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936