Data Analyst

Data Analyst

Stockport Full-Time 30000 - 50000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Ensure data quality and integrity while collaborating with a dynamic team.
  • Company: Join NIQ, a leading consumer intelligence company with a global reach.
  • Benefits: Enjoy flexible working, volunteer time off, and access to LinkedIn Learning.
  • Why this job: Make a real impact by analysing data and driving insights for major clients.
  • Qualifications: Degree in a relevant field; analytical skills and comfort with data are key.
  • Other info: Be part of a diverse and inclusive workplace that values innovation.

The predicted salary is between 30000 - 50000 £ per year.

Job Description

About This Job

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 Data 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 in 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.

We Offer

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

Our Benefits

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

Additional Information

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.

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the

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Data Analyst employer: NIELSENIQ

NIQ is an exceptional employer that prioritises a flexible working environment and employee growth through initiatives like LinkedIn Learning and volunteer time off. With a strong commitment to diversity, equity, and inclusion, NIQ fosters a collaborative work culture where data analysts can thrive, contribute to meaningful projects, and engage with a global network of professionals dedicated to delivering top-notch consumer insights.
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Contact Detail:

NIELSENIQ Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Network like a pro! Reach out to current or former Data Analysts at NIQ on LinkedIn. A friendly chat can give you insider info and maybe even a referral. We all know how much that helps!

✨Tip Number 2

Prepare for the interview by brushing up on your data skills. Be ready to discuss how you've tackled data anomalies in the past. Show us your critical thinking and problem-solving prowess!

✨Tip Number 3

Don’t just wait for job openings—create your own opportunities! Apply through our website and express your passion for data excellence. We love seeing proactive candidates who are eager to join our team.

✨Tip Number 4

Follow NIQ on social media to stay updated on company news and job openings. Engaging with our content can help you understand our culture and values, making you a more appealing candidate!

We think you need these skills to ace Data Analyst

Data Analysis
Problem-Solving Skills
Attention to Detail
Technical Aptitude
Root Cause Analysis
Stakeholder Management
Report Preparation
Model Validation
Commercial Awareness
Process Improvement
Critical Thinking
Data Integrity Management
Collaboration
Numerical Proficiency
Knowledge of Relational Databases

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Analyst role. Highlight any relevant analytical projects or data modelling experience to catch our eye!

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how you can contribute to our team. Share specific examples of how you've tackled data challenges in the past.

Showcase Your Problem-Solving Skills: In your application, mention instances where you've successfully resolved data issues or improved processes. We love seeing critical thinking in action!

Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people!

How to prepare for a job interview at NIELSENIQ

✨Know Your Data Inside Out

Before the interview, make sure you understand the data modelling principles and how they apply to the role. Brush up on your knowledge of relational databases and be ready to discuss how you've extracted insights from large datasets in the past.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled data anomalies or technical failures in previous roles. Be specific about the tools you used and the steps you took to resolve issues, as this will demonstrate your critical thinking and troubleshooting abilities.

✨Engage with Stakeholders

Think about times when you've had to manage stakeholder communications. Be ready to discuss how you provided updates and sought expertise from subject matter experts. This shows that you can effectively collaborate across teams, which is crucial for the role.

✨Be Ready to Discuss Process Improvements

Familiarise yourself with process audits and improvements. Prepare to talk about any recommendations you've made in the past for enhancing validation processes or standard operating procedures, as this aligns with the responsibilities of the position.

Data Analyst
NIELSENIQ
Location: Stockport
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