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Hourly Metadata Analyst Jobs in Florida (NOW HIRING)

Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending ... Experience analyzing anthropogenic noise in the marine environment using acoustic metadata ...

Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending ... Experience analyzing anthropogenic noise in the marine environment using acoustic metadata ...

Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending ... Experience analyzing anthropogenic noise in the marine environment using acoustic metadata ...

Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys ... Organize and document datasets and metadata in accordance with established data management ...

Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys ... Organize and document datasets and metadata in accordance with established data management ...

Perform complex system and data analysis, using SQL, PLSQL, Python, and other languages to develop ... Create and manage supporting documentation, including metadata, diagrams of entity relationships ...

Data Architect

Tallahassee, FL · On-site

$61.75 - $79.25/hr

The role focuses on the analysis and remediation of data that is secure and scalable and built upon ... hourly, or less frequent intervals as needed. • Collaborate with development teams to automate ...

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Hourly Metadata Analyst information

How does an Hourly Metadata Analyst typically collaborate with other teams during a project?

As an Hourly Metadata Analyst, you often work closely with content managers, data engineers, and quality assurance teams to ensure metadata accuracy and consistency. Collaboration usually involves attending project meetings, sharing updates, and clarifying data requirements or standards. Effective communication is key, as you may need to explain metadata nuances or resolve discrepancies by coordinating with various departments. This teamwork ensures that metadata aligns with organizational goals and supports seamless content discovery and management.

What are the key skills and qualifications needed to thrive as an Hourly Metadata Analyst, and why are they important?

To thrive as an Hourly Metadata Analyst, you need strong analytical skills, attention to detail, and familiarity with metadata standards, typically supported by a relevant degree or experience in data management. Proficiency with content management systems (CMS), digital asset management (DAM) tools, and spreadsheet software like Excel is often required. Excellent organizational skills, communication abilities, and a collaborative mindset help you excel in this role. These competencies ensure accurate metadata entry and management, supporting efficient content discovery, retrieval, and overall data integrity.

What are Hourly Metadata Analysts?

Hourly Metadata Analysts are professionals who work on an hourly basis to review, organize, and manage metadata for digital assets such as videos, images, documents, or databases. Their responsibilities typically include ensuring metadata accuracy, updating records, and maintaining data integrity to improve searchability and accessibility. These analysts often collaborate with content teams, librarians, or IT departments to implement metadata standards and support digital asset management systems. The hourly nature of the role allows companies to scale their metadata needs flexibly, depending on project demands.
What cities in Florida are hiring for Hourly Metadata Analyst jobs? Cities in Florida with the most Hourly Metadata Analyst job openings:
Data Quality & AI Analyst

Data Quality & AI Analyst

Kforce Technology Staffing

Juno Beach, FL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Data Quality & AI Analyst in Juno Beach, FL.
Summary:
We are seeking a Data Quality & AI Analyst to drive enterprise data integrity while supporting the development and implementation of AI-driven solutions that enhance automation, predictive analytics, and operational efficiency. This role combines data governance, quality assurance, analytics, and emerging AI technologies to improve business processes and support data-driven decision making. The ideal candidate has strong experience in data quality management, SQL, analytics, and data governance, along with exposure to machine learning, predictive modeling, and AI-enabled business solutions.
Key Responsibilities:
Data Quality & Governance:
* Develop, implement, and maintain data quality standards, controls, and governance processes
* Monitor, profile, and analyze enterprise data to identify inconsistencies, anomalies, and quality issues
* Perform data validation, reconciliation, cleansing, and standardization activities
* Conduct root cause analysis and implement corrective and preventive actions for recurring data issues
* Collaborate with business and technical stakeholders to improve data collection, integration, and management processes
* Create reports, dashboards, and scorecards to monitor data quality metrics and trends
* Support data governance initiatives and ensure compliance with organizational policies and regulatory requirements
AI & Advanced Analytics:
* Support the development and implementation of AI and machine learning solutions to improve operational efficiency and business outcomes
* Assist in designing, testing, deploying, and monitoring predictive analytics and machine learning models
* Partner with engineering, operations, and business teams to identify opportunities for AI-driven automation and decision support
* Utilize data analytics and machine learning techniques to generate actionable insights and recommendations
REQUIREMENTS:
* Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Statistics, Mathematics, or a related field
* 3+ years of experience in data quality, data governance, data analytics, business intelligence, or related disciplines
* Experience with data validation, cleansing, reconciliation, and quality monitoring
* Experience creating reports and dashboards using Power BI, Tableau, Business Objects, or similar tools
* Knowledge of data governance concepts and best practices
* Strong SQL skills and experience working with large datasets
* Strong analytical, problem-solving, and critical-thinking skills
* Excellent communication and stakeholder management abilities
Preferred Qualifications:
* Master's degree in Data Science, Computer Science, Engineering, Analytics, or a related field
* Experience working with machine learning, predictive analytics, or AI-enabled business solutions
* Experience with cloud-based analytics and AI platforms
* Utility, energy, or infrastructure industry experience
* Knowledge of Python, R, JavaScript, or other programming languages used for analytics and automation
* Familiarity with ETL processes and data integration frameworks
* Understanding of data modeling, metadata management, and master data management (MDM)
Key Skills:
* SQL
* Data Quality Management
* Data Governance
* Data Validation & Reconciliation
* Root Cause Analysis
* Reporting & Visualization
* Machine Learning Concepts
* Predictive Analytics
* AI & Automation
* Process Improvement
* Power BI/Tableau
* Python (Preferred)
Success Measures:
* Improved enterprise data quality, consistency, and reliability
* Reduction in recurring data quality issues through sustainable remediation efforts
* Successful implementation of AI-driven process improvements and automation initiatives
* Increased confidence in business reporting, analytics, and operational decision-making
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.