What are the responsibilities and job description for the Data Quality & AI Analyst position at Kforce Technology Staffing?
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.
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.
Salary : $55 - $60