Quality Data Analytics Engineer

Roles and Responsibilities

• Quality Suite Management & Digital Strategy
• Act as the key business-side user and focal point for the Hydro Quality Suite tools and applications.
• Support the execution of the Hydro Quality Digital Strategy through deployment, optimization, and continuous improvement of digital quality tools.
• Coordinate closely with Digital/IT teams to define business requirements and support the development, enhancement, testing, and maintenance of Quality Suite applications.
• Ensure system reliability, usability, and alignment with quality processes and business needs.
• System Integration & Process Governance
• Maintain effective linkages and integration between various Quality Suite tools, ensuring consistency, data flow, and alignment across systems.
• Identify opportunities for process standardization, simplification, and automation within quality digital tools.
• Support governance of quality-related digital systems to ensure data integrity and process compliance.
• Data Analytics & Reporting
• Analyse complex datasets to generate meaningful insights, trends, and performance indicators that support informed decision-making.
• Develop and maintain reports, dashboards, and analytics to improve visibility of quality performance.
• Support the preparation and consolidation of Quality Monthly Operating Reviews (MOR) and other quality performance reporting requirements.
• Ensure data accuracy, consistency, and timely reporting across quality metrics and systems.
• Continuous Improvement & Innovation
• Identify opportunities to improve reporting efficiency, forecasting, and operational visibility through automation and advanced analytics.
• Support adoption of AI/ML tools, models, or AI-driven analytics solutions to enhance business intelligence and decision support capabilities.
• Contribute to continuous improvement initiatives that strengthen quality processes and digital maturity across the Hydro business.
• Stakeholder Collaboration
• Collaborate with Quality, Engineering, Project, Sourcing, and Digital teams to support business requirements and drive effective adoption of quality systems.
• Act as a bridge between business and Digital/IT teams to translate operational needs into technical improvements.

Required Qualifications

• Bachelor’s degree in Engineering with 5+ years experience in Quality, Information Systems, Data Analytics, Computer Science, or a related discipline.
• Relevant experience in quality systems management, enterprise digital tools, data analytics, or quality process support.
• Expertise in data analytics and visualization tools, including Tableau, Power BI, Smartsheet, or similar analytics applications.
• Exposure to or working knowledge of AI/ML tools, models, or AI-driven analytics applications.
• Experience working with digital platforms, databases, reporting tools, or enterprise software systems.
• Strong analytical skills with the ability to interpret and manage complex datasets and quality performance metrics.
• Knowledge of Quality Management Systems (QMS), quality processes, and continuous improvement methodologies.
• Strong communication and stakeholder management skills, with the ability to work across functions and global teams.
• Proficiency in Microsoft Excel, reporting tools, and business intelligence platforms.
• Preferred certifications: Lean Six Sigma Green Belt or Black Belt, ISO 9001:2015 Internal Auditor certification

Desired Characteristics

Relocation Assistance Provided

• Yes