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- Tasks: Transform data into insights with Power BI and automate reporting processes.
- Company: Join a leading tech company shaping the future of global content production.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and creativity.
- Why this job: Make a real impact by turning complex data into actionable insights for global stakeholders.
- Qualifications: 3-5 years in BI or data analysis, with strong Power BI and Excel skills.
The predicted salary is between 36000 - 60000 £ per year.
As a BI & Data Insights Analyst, you will be the engine room of our data transformation. Reporting to the Solution Design & BI Lead, you will be responsible for the end-to-end delivery of high-impact analytics—from the heavy lifting of data cleaning and ETL automation to the creative design of intuitive Power BI dashboards. You will work at the heart of our global operations, turning fragmented, unstructured data into a standardized "single source of truth." Your goal is to make data accessible and indispensable, helping the business move away from manual spreadsheets toward a sophisticated, KPI-led culture. If you are a problem-solver who thrives on making sense of complex data landscapes, this role offers the opportunity to shape the future of analytics at a global scale.
Responsibilities:
- Design, build, and maintain high-performance Power BI dashboards delivering timely, actionable insights to global stakeholders.
- Perform advanced data cleansing, transformation, and ETL automation using Power Query and related tools to standardize disparate data sources.
- Translate business objectives into clearly defined, reliable KPIs and metrics, ensuring consistent interpretation across the organization.
- Develop and optimize automated data pipelines to eliminate manual reporting and improve data accuracy and efficiency.
- Conduct thorough data validation, QA, and UAT to ensure accuracy and trust in all BI outputs.
- Partner with business stakeholders to gather requirements and deliver clear, meaningful data storytelling in plain language.
- Maintain technical documentation, including data dictionaries and process documentation, to support scalability and governance.
Position Requirements:
- 3–5+ years of experience in Business Intelligence, data analysis, or analytics, with a strong portfolio of Power BI projects.
- Advanced proficiency in Power BI, Power Query, and DAX, including complex measures and data models.
- Expert-level Excel skills (advanced formulas, Power Pivot, and data modeling).
- Working knowledge of SQL for querying and extracting data from relational databases.
- Strong analytical mindset with exceptional attention to detail and comfort working with unstructured or imperfect data.
- Ability to communicate technical concepts clearly to non-technical audiences and influence decision-making with data.
- Degree in Mathematics, Statistics, Computer Science, Finance, or a related field (or equivalent professional experience); project-based or media/broadcast experience is a plus.
BI and Data Analyst in London employer: NEP Group, Inc.
Contact Detail:
NEP Group, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI and Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI projects and data analysis work. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common BI and data analysis questions. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to our data transformation journey.
We think you need these skills to ace BI and Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the BI & Data Analyst role. Highlight your experience with Power BI, data cleansing, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how your background aligns with our mission. Be sure to mention specific examples of your work that relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Make sure to list your advanced skills in Power BI, Power Query, and SQL clearly. We love seeing candidates who can demonstrate their ability to turn complex data into actionable insights.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at NEP Group, Inc.
✨Know Your Power BI Inside Out
Make sure you’re well-versed in Power BI, Power Query, and DAX. Prepare to discuss specific projects where you've built dashboards or automated data processes. Bring examples of your work to showcase your skills and demonstrate how you’ve turned complex data into actionable insights.
✨Master the Art of Data Storytelling
Practice explaining technical concepts in simple terms. You’ll need to communicate effectively with non-technical stakeholders, so think about how you can translate data findings into clear, impactful narratives that drive decision-making.
✨Showcase Your Problem-Solving Skills
Be ready to discuss challenges you've faced in data analysis and how you overcame them. Highlight your analytical mindset and attention to detail, especially when dealing with unstructured data. Use specific examples to illustrate your problem-solving process.
✨Prepare for Technical Questions
Brush up on SQL and Excel skills, as you may be asked to solve problems or answer questions on the spot. Familiarise yourself with common data validation techniques and ETL processes, and be prepared to discuss how you ensure data accuracy and efficiency in your work.