
Data Analyst (Maternity Cover)
- Stockport, Greater Manchester
- Permanent
- Full-time
- 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.
- 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.
- Validate model outputs against available data sources and contribute to validation meetings with key stakeholders.
- Keep data integrity rules clear on a consistent basis.
- Serve as the data expert for the assigned sector/product.
- Demonstrate critical thinking in actioning feedback, provide data driven recommendations for trend alignment
- Support team members to ensure all sectors for the assigned service are uploaded on time.
- QC the external data sources feeding models.
- 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.
- Manage stakeholders effectively, providing regular progress updates and seek expertise where necessary from SMEs across the business.
- Respond to queries promptly and efficiently.
- 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.
- Degree qualified, ideally with some analytical or data modelling component.
- Highly numerate and comfortable manipulating data.
- Proficient with Excel
- Working knowledge of relational databases (desired but not essential)
- Experience of extracting insights from large datasets and building reports.
- Flexible working environment
- Comprehensive health insurance
- Industry-leading parental leave
- Life assurance
- Educational support
- Pension plan
- Volunteer time off
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)