About This Job

The Product Success Analyst serves a vital function in upholding the quality and integrity of NIQ’s market measurement products. Although each analyst is dedicated to a specific territory or product, they work collaboratively within the Product Success team to ensure all deliverables align with delivery timelines and data quality standards. Demonstrating a strong commitment to data excellence, the Product Success Analyst proactively detects anomalies in both data and modelling processes implementing effective corrective measures when necessary. Furthermore, they engage with teams across the organization to investigate and resolve data issues, showcasing an in-depth understanding of external factors that may affect trends and outcomes.

Responsibilities

Service Delivery

• Make sure all stages of the models run in accordance with the production schedule, following standard operating procedures to ensure deadlines are met.
• Understand the modelling and validation principles and how they have been applied to the assigned territory.
• Support new analysts on methodology, problem solving and technical queries.
• Troubleshoot issues that arise on day-to-day tasks.
• Demonstrate commercial awareness & understanding of NIQ’s on-premise clients and product portfolio.
• Under the guidance of senior leadership, contribute to projects, working to pre- agreed project plans. 

Output validation

• Validate model outputs against available data sources and contribute to validation meetings with key stakeholders.
• Keep data integrity rules clear on a consistent basis.
• Ensure model outputs remain within defined tolerances and accurately represent market dynamics.
• Serve as the data expert for the assigned sector/product.
• Demonstrate critical thinking in actioning feedback, provide data driven recommendations for trend alignment.
• Prepare reports to reconcile outputs against external sources.
• Support team members to ensure all sectors for the assigned service are uploaded on time.
• QC the external data sources feeding models.

Investigations and Problem solving

• Use available tools and data sources to investigate client queries in accordance with our investigation protocol.
• Implement data restatements, delivering acceptable outputs, explanations, and recommendations to commercial teams.
• Investigate anomalies during data production process, troubleshooting technical failures in collaboration with other departments.
• Perform root cause analysis on errors that lead to restatements.

Stakeholder Management

• Own key stakeholder communications for the assigned sector.
• Manage stakeholders effectively, providing regular progress updates and seek expertise where necessary from SMEs across the business.
• Respond to queries promptly and efficiently

Process Audit and Improvement

• Build reports and validation sheets.
• Audit existing validation processes, providing recommendations on enhancements and potential fixes.
• Implement improvements/rebuilds of processes under the supervision of senior leadership.
• Update and create standard operating procedures as appropriate and submit to management for final approval.

Qualifications

• Degree qualified, ideally with some analytical or data modelling component. 
• Highly numerate and comfortable manipulating data.
• Working knowledge of relational databases (desired but not essential)
• Experience of extracting insights from large datasets and building reports.