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
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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