Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Analyst (Maternity Cover)

Smart Recruiters
Greater Manchester
5 days ago
Create job alert

Job Description

The Data 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.
  • 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.
  • 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.

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

  • 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.
  • Proficient with Excel
  • Working knowledge of relational databases (desired but not essential)
  • Experience of extracting insights from large datasets and building reports.

Our Benefits

  • Flexible working environment
  • Comprehensive health insurance
  • Industry-leading parental leave
  • Life assurance
  • Educational support
  • Pension plan
  • Volunteer time off

This is a maternity cover position with the possibility of extension based on business needs.


Additional Information

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)


About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on: LinkedIn | Instagram | Twitter | Facebook


Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.