Data Analyst

Data Analyst

Full-Time 30000 - 40000 £ / year (est.) Home office (partial)
NIELSENIQ

At a Glance

  • Tasks: Analyse data, troubleshoot issues, and support new analysts in a dynamic environment.
  • Company: NIQ, a leader in market insights with a commitment to diversity.
  • Benefits: Flexible working, volunteer time off, and a supportive team culture.
  • Other info: Opportunities for professional growth and collaboration with diverse teams.
  • Why this job: Make an impact by turning data into actionable insights for real-world applications.
  • Qualifications: Degree in a relevant field and strong analytical skills required.

The predicted salary is between 30000 - 40000 £ per year.

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.
    • 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.

Additional Information

  • Flexible working environment.
  • Volunteer time off.

Equal Employment Opportunity

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.

Data Analyst employer: NIELSENIQ

At NIQ, we pride ourselves on being an exceptional employer, offering a flexible working environment that promotes work-life balance and encourages personal growth. Our inclusive culture fosters collaboration and innovation, providing employees with opportunities to develop their skills while contributing to meaningful projects that impact our clients. With a commitment to diversity and equal opportunity, NIQ is dedicated to creating a workplace where every voice is valued and every employee can thrive.

NIELSENIQ

Contact Details:

NIELSENIQ Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst

Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like NIELSENIQ.

Apply Directly through Our Website

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We think you need these skills to ace Data Analyst

Problem-Solving Skills
SQL
Communication Skills
Python
Data Governance
Automation
Attention to Detail

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at NIELSENIQ, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NIELSENIQ. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at NIELSENIQ

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NIELSENIQ!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.