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Data Aggregation Jobs (NOW HIRING)

BGI (Ohio)

Computer Science and Data Science

Akron, OH · On-site

General responsibilities in Data Science include leveraging data aggregation and data mining to identify trends and anomalies in complex big data, transition of algorithms to code and techniques for ...

SRP Systems Inc

Data Analyst in Big Data

Princeton, NJ · On-site

Must have data mining skills (data aggregation, validation, etc), advanced modeling techniques, creating explanatory reports. RESPONSIBILITIES: Big data analyst should have a broad understanding and ...

SRP Systems Inc

Data Analyst in Big Data

Princeton, NJ · On-site

Must have data mining skills (data aggregation, validation, etc), advanced modeling techniques, creating explanatory reports. RESPONSIBILITIES: Big data analyst should have a broad understanding and ...

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Data Aggregation information

What is a data aggregation?

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 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.

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Data Aggregation jobs near you
Infographic showing various Data Aggregation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Operations Analyst - Data Aggregation & Mitigation Support

Tampa, FL • On-site

Lucayan Technology Solutions LLC
IT Services • 11 - 50 employees
Learn more about Lucayan Technology Solutions LLCexternal

Full-time

Re-posted 2 days ago

Job description

About Lucayan Technology Solutions LLC
At Lucayan Technology Solutions LLC, we deliver secure, innovative solutions in support of national defense and intelligence missions. As a trusted government contracting partner, we provide top-tier intelligence and technology services that safeguard our nation. Our team is mission-driven, and we are committed to building careers that matter.
Location: Tampa, FL (Onsite)
Employment Type: Full-Time, Regular
Department: Intelligence Operations and Analysis
Security Clearance: Top Secret/SCI
Hours: Standard duty hours, Monday-Friday (mission requirements may require flexibility)
Join Our Pipeline for Future Opportunities!
This is a pipeline posting intended to identify qualified candidates for upcoming opportunities. Employment is contingent upon contract award and successful completion of any required background or security processes.
Job Summary
Lucayan Technology Solutions is seeking an Operations Analyst - Data Aggregation & Mitigation Support to join our team in Tampa, FL. This role is responsible for compiling, analyzing, and modeling military systems performance and operational data to inform mission strategy and decision-making. The analyst will coordinate with the DoD, Intelligence Community, industry, and academia to identify emerging technologies, streamline processes, and support mission readiness.
Key Responsibilities
  • Conduct research and modeling of military systems and operations.
  • Aggregate, analyze, and interpret operational and statistical data.
  • Develop analytic methods, trade studies, and tools to support decision-making.
  • Provide technical and analytical support for training, tactical documentation, and systems design projects.
  • Coordinate with DoD, IC, industry, and academia on data aggregation and mitigation support.
  • Identify and recommend emerging technologies to enhance current processes.
  • Prepare and deliver presentations, reports, and training materials.
  • Mentor junior analysts and provide task leadership as needed.
  • Maintain knowledge of relevant military operations, technology, and processes.

Work Environment
  • Onsite position in Tampa, FL supporting U.S. defense operations.
  • Mission-critical, collaborative environment requiring coordination across agencies and partners.
  • Less than 10% travel may be required.

Minimum Qualifications
  • Clearance: Active Top Secret/SCI clearance.
  • Citizenship: U.S. Citizenship required.
  • Education: Bachelor's degree in Intelligence Studies, Military Operations, Data Science, Engineering, or related field.
  • Experience:
    • 6+ years of military or civilian operational/analytical experience.
    • Prior Special Operations experience preferred.
    • Demonstrated leadership experience.
  • Strong communication, problem-solving, and analytical skills.

Required Certifications
  • None required.
  • Military training or relevant professional certifications in analysis or operations preferred.

Desirable Qualifications
  • Familiarity with AI/ML tools for data analysis.
  • Experience with advanced data visualization and analytic methods.
  • Proven ability to mentor junior analysts.

Apply