Lead Analytics Analyst

PPG is looking for a Lead Analytics Analyst to join our team! The AIM Analytics Lead Analyst would report to the AIM SPL Technical Product Owner and partner very closely with AIM Analytics Business Product Owner.

Key Responsibilities

• Collaborate with Business Product Owner to understand business problems, objectives, and data requirements.
• Assess feasibility of potential analytics use cases, including data availability, complexity, and analytical approaches.
• Contribute analytical input to business cases, ensuring technical viability and realistic effort estimates.
• Conduct handson data exploration and statistical analysis to support model development and insight generation.
• Identify, assess, and prepare relevant data sources in collaboration with Data Engineering.
• Build prototypes, descriptive insights, and statistical analyses that guide model refinement.
• Collaborate with Digital IT teams (primarily AI/ML COE, D&A, and GCSS) to support solution development and deployment.
• Lead analytical validation activities through structured testing.
• Translate analytical findings into clear, businessrelevant insights and recommendations.
• Identify opportunities to refine or improve solutions based on user feedback and performance metrics.
• Support Agile delivery processes by participating in ceremonies and providing analytical input to sprint planning.
• Ensure analytical deliverables adhere to required quality, documentation, and governance standards.
• Support postdeployment monitoring, including reviewing model performance and recommending improvements.

Qualifications

• A four-year degree or higher in Information Systems, Computer Science, Engineering, Chemistry, or a related discipline; or equivalent experience.
• 3+ years of experience in IT, data analytics, or a related technical field.
• Proven handson analytical skills, ideally with experience in data analysis, statistical methods, or AI/ML delivery.
• Exceptional written and verbal communication skills, including the ability to create clear technical documentation.
• Familiarity with Agile methodologies and analytics delivery frameworks.
• Understanding of the AI/ML lifecycle (data preparation, model development, validation, deployment, monitoring) is advantageous.
• Comfortable working remotely and collaborating through virtual channels.

PPG /PPG