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Data Aggregation Jobs in Florida (NOW HIRING)

Fortress Information Security

Data Analyst

Orlando, FL · Remote

$89K - $127K/yr

Aggregate, validate, and analyze data from multiple systems to ensure reporting accuracy and consistency. * Automate recurring reporting processes and improve reporting efficiency using scripting ...

Burson

Manager, Insights, Data & Intelligence

Miami, FL · On-site +1

Proactively deep dives into data to inform and steer critical decision making, as well as work with complex datasets to aggregate, ingest and organize data in a clean, ready-to-use fashion for the ...

APCO Holdings

Senior Data Developer

Ponte Vedra, FL

Perform data transformation, cleansing, validation, and aggregation to ensure high data quality * Monitor, optimize, and troubleshoot ETL performance and data workflows * Deploy, schedule, and ...

APCO Holdings

Senior Data Developer

Ponte Vedra, FL · On-site

Perform data transformation, cleansing, validation, and aggregation to ensure high data quality * Monitor, optimize, and troubleshoot ETL performance and data workflows * Deploy, schedule, and ...

APCO Holdings

Senior Data Developer

Ponte Vedra, FL

Perform data transformation, cleansing, validation, and aggregation to ensure high data quality * Monitor, optimize, and troubleshoot ETL performance and data workflows * Deploy, schedule, and ...

Royal Caribbean Group

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

Aggregates large data sets in SQL, Python, and other analytical tools for analysis. Develops data strategies, specifically around data structures, identifying critical information, as well as the ...

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Data Aggregation information

What are the key skills and qualifications needed to thrive in the Data Aggregation position, and why are they important?

To thrive in Data Aggregation, you need strong analytical skills, attention to detail, and a solid understanding of data management principles, often supported by a degree in statistics, information technology, or a related field. Familiarity with data aggregation tools and platforms such as SQL, Excel, Python, and business intelligence software is highly beneficial. Excellent problem-solving abilities, organizational skills, and effective communication are crucial soft skills in this role. These competencies ensure accurate, efficient compilation and validation of data from multiple sources, enabling valuable insights and informed business decisions.

What are some common challenges faced by professionals working in data aggregation roles?

Professionals in data aggregation roles often encounter challenges such as dealing with large and inconsistent datasets, ensuring data accuracy, and integrating information from multiple, sometimes incompatible sources. Addressing data quality issues and maintaining robust documentation require meticulous attention and a systematic approach. Teamwork and communication are also important, as these roles typically involve collaboration with data analysts, IT specialists, and business stakeholders to deliver comprehensive reports or analyses. Adaptability and a willingness to learn new tools can help you excel when facing evolving data needs or organizational requirements.

What is a Data Aggregation job?

A Data Aggregation job involves collecting, processing, and organizing large datasets from multiple sources to provide meaningful insights. Professionals in this role ensure data accuracy, consistency, and accessibility for analysis or reporting. They may work with databases, APIs, and automation tools to streamline data collection. This role is essential in industries like finance, marketing, and healthcare, where data-driven decisions are critical.

What are the skills of data aggregation?

Data aggregation requires skills in data collection, cleaning, and processing using tools like Excel, SQL, or data analysis software. It also involves strong attention to detail, understanding of data structures, and the ability to interpret and visualize data effectively.

How to become a data aggregator?

To become a data aggregator, develop skills in data collection, cleaning, and analysis using tools like Excel, SQL, or Python. Gaining experience with data management and understanding data sources is essential, and some roles may require a degree in information technology, computer science, or related fields.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually. These positions typically require advanced skills in analytics, machine learning, and leadership, along with relevant certifications and experience managing large data teams.

What does a data aggregator do?

A data aggregator collects, compiles, and organizes data from multiple sources to provide comprehensive datasets for analysis or reporting. They often use tools like databases and data management software and need strong attention to detail and data handling skills.
What are the most commonly searched types of Data Aggregation jobs in Florida? The most popular types of Data Aggregation jobs in Florida are:
What are popular job titles related to Data Aggregation jobs in Florida? For Data Aggregation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Aggregation jobs in Florida look for? The top searched job categories for Data Aggregation jobs in Florida are:
Data Aggregation jobs near you
Infographic showing various Data Aggregation job openings in Florida as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Data Analyst

Data Analyst

Fortress Information Security

Orlando, FL • Remote

$89K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Data Analyst
Location: Remote
Salary Range: $89,501- $127,186 per year, depending on experience and qualifications.
Employment Type: Full-Time
Clearance: Ability to obtain and maintain a Secret U.S. Security Clearance (required)

What you can expect as the Data Analyst at Fortress...
The Data Analyst supports client delivery and internal business operations by developing scalable, accurate, and actionable reporting solutions that help clients assess and manage supply chain risk. This role partners closely with stakeholders across Professional Services, Product, and Engineering to design dashboards, reporting models, and data visualizations. The ideal candidate brings strong SQL and business intelligence expertise combined with a commitment to reporting quality, query performance optimization, and scalable data modeling practices. This is a compelling opportunity for a data professional looking to work independently in a fast-paced remote environment with direct exposure to both commercial and government clients.
Responsibilities Include
  • Develop and maintain dashboards, reports, and visualizations that enable clients and internal stakeholders to make informed supply chain risk management decisions.
  • Design, build, and maintain reporting data models and semantic layers to support scalable analytics and reporting solutions.
  • Write, optimize, and maintain performant SQL queries across relational and NoSQL data sources, including PostgreSQL and MongoDB.
  • Translate stakeholder reporting requirements into intuitive and actionable dashboards and reporting outputs.
  • Create and maintain reporting solutions within Looker and support future business intelligence platform transitions as needed.
  • Aggregate, validate, and analyze data from multiple systems to ensure reporting accuracy and consistency.
  • Automate recurring reporting processes and improve reporting efficiency using scripting languages such as Python or Node.js.
  • Deliver Excel-based reporting outputs and automate refresh processes using ODBC connections where appropriate.
  • Identify, investigate, and assist in resolving data integrity and reporting issues proactively.
  • Maintain high standards for reporting accuracy, dashboard usability, and query efficiency across analytics deliverables.
  • Collaborate with Product and Engineering teams to improve reporting quality, data accessibility, and analytics capabilities.
  • Communicate reporting logic, analytical findings, and technical concepts clearly to technical and non-technical stakeholders.
  • Prioritize and manage multiple reporting requests and deadlines with minimal supervision in a remote work environment.
  • Continuously identify opportunities to improve dashboard usability, reporting automation, and stakeholder adoption.
  • Independently leverage AI-enabled tools and prompt refinement techniques to improve efficiency, reporting quality, analysis, and documentation workflows.
Minimum Qualifications
  • 3+ years of experience developing dashboards and reporting solutions using business intelligence platforms such as Looker, Power BI, or Tableau.
  • Strong experience designing reporting data models and writing complex SQL queries.
  • Experience optimizing SQL query performance and troubleshooting reporting efficiency issues.
  • Experience working with PostgreSQL and MongoDB databases.
  • Experience using Python, Node.js, or similar scripting languages for reporting automation or dataset manipulation.
  • Experience translating business requirements into scalable reporting and visualization solutions.
  • Ability to communicate technical concepts, reporting logic, and analytical findings to non-technical stakeholders.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Demonstrated ability to manage priorities and work independently in a remote environment.
  • Strong attention to detail and commitment to reporting accuracy and data quality.
  • Availability to work primarily during East Coast business hours.
  • Ability to obtain and maintain a Secret U.S. Security Clearance (required).
  • Excellent written and verbal communication skills.
Preferred Skills
  • Advanced experience with Looker and LookML.
  • Experience supporting business intelligence platform migrations or reporting tool transitions.
  • Experience using Jira or similar project tracking tools.
  • Experience improving reporting automation and operational reporting workflows.
  • Ability to balance multiple priorities and stakeholder requests in a fast-paced environment.
  • Familiarity with AI-assisted productivity and analytics workflows.
  • CompTIA Security+ certification or familiarity with cybersecurity and supply chain risk management concepts.
Education
  • Bachelors Degree or equivalent professional work experience required.
Employee Benefits:
  • Competitive pay structure
  • Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families
  • Company paid life, short- and long-term disability insurance
  • Employee Assistance Program
  • 401(k) match
  • Flexible Paid Time Off
  • Parental Leave
Employment Perks:
  • We provide each employee with professional growth opportunities through succession planning, up-skilling, and certifications
  • Tuition and certification reimbursement
  • Employee Referral Programs
  • Company Sponsored Events
Fortress is proud to be an Equal Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. Fortress Information Security takes part in the E-Verify process for all new hires.
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will have to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

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