Power BI & Visualization Analyst in Wakefield

Power BI & Visualization Analyst in Wakefield

Wakefield Full-Time 31500 - 38500 £ / year (est.) Home office (partial)
HH Global

At a Glance

  • Tasks: Transform data into insights and create impactful dashboards for global stakeholders.
  • Company: Join HH Global, a leader in analytics and client engagement.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real difference by shaping analytics and influencing key decisions.
  • Qualifications: Strong skills in MS Fabric, Power BI, Excel, and stakeholder engagement.

The predicted salary is between 31500 - 38500 £ per year.

HH Global is seeking a BI Analyst to turn data into actionable insights and shape internal analytics, sales and client engagement initiatives.

You’ll build dashboards and reports for a global stakeholder group, translating complex requirements into clear, impactful data solutions.

The role is hybrid, based in Wakefield, with collaboration across global teams.

Strong MS Fabric / Power BI and Excel skills are essential, plus ability to influence senior stakeholders and deliver high-quality client

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Power BI & Visualization Analyst in Wakefield employer: HH Global

At HH Global, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through continuous training opportunities and a supportive environment that values diversity. Located in the heart of Europe, our team enjoys the unique advantage of working on impactful retail projects while being part of a global network that champions creativity and excellence.

HH Global

Contact Details:

HH Global Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Power BI & Visualization Analyst in Wakefield

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like HH Global!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Power BI & Visualization Analyst at HH Global.

Leverage Professional Networks

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 HH Global.

Apply Directly through Our Website

When you find a suitable opening like Power BI & Visualization Analyst at HH Global, 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 Power BI & Visualization Analyst in Wakefield

Power BI
MS Fabric
Excel
Data Visualisation
Dashboard Development
Report Building
Stakeholder Engagement

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 HH Global, 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 HH Global. 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 HH Global

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 HH Global!

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.