Senior Data Analyst

Senior Data Analyst

Full-Time 49500 - 60500 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead analytics projects and mentor junior analysts while transforming BI capabilities.
  • Company: Major UK infrastructure organisation investing in data and BI.
  • Benefits: Competitive salary, career growth, and the chance to shape future BI strategies.
  • Other info: Opportunity to work in a dynamic environment with a focus on innovation.
  • Why this job: Make a real impact by driving BI transformation and influencing reporting capabilities.
  • Qualifications: Strong SQL, Power BI experience, and a knack for data modelling.

The predicted salary is between 49500 - 60500 £ per year.

This is an opportunity with a major UK infrastructure organisation that is investing heavily in its data and BI capability and is looking for a Senior Data Analyst to join the team. This is a strong mix of hands-on analytics, BI leadership and platform transformation.

You’ll work closely with the Analytics Lead, take responsibility for two junior analysts and help shape how the organisation develops its reporting and analytics capability. A major part of the role will be helping move the business from its existing Tableau environment towards Power BI and Microsoft Fabric, including developing reusable data models, semantic layers and better self-service reporting.

The role would suit someone with:

  • Strong SQL and analytical experience
  • Power BI and enterprise BI/reporting experience
  • Good data modelling / semantic modelling knowledge
  • Experience delivering insight to senior business stakeholders
  • Exposure to BI migrations or analytics transformation
  • Some experience mentoring or managing analysts
  • Microsoft Fabric experience would be highly desirable, but isn’t essential - strong candidates from other modern BI environments will absolutely be considered.

There’s a genuine opportunity here to influence the future BI setup rather than simply inherit an established reporting function.

Senior Data Analyst employer: Nuvion Tech

As a Senior Project Manager in Central London, you will join a forward-thinking company that prioritises employee well-being with an excellent work-life balance and generous benefits, including 30 days of annual leave and a robust pension scheme. The collaborative work culture fosters professional growth, allowing you to lead transformative technology projects while engaging with diverse teams and stakeholders, making it an ideal environment for those seeking meaningful and impactful work.

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Contact Details:

Nuvion Tech Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst

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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 Nuvion Tech.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Analyst at Nuvion Tech, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Analyst

SQL
Power BI
Microsoft Fabric
Data Modelling
Semantic Modelling
Business Intelligence (BI)
Analytics Transformation

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Nuvion Tech, 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 Nuvion Tech. 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 Nuvion Tech

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 Nuvion Tech!

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.