Power BI & Project Controls Data Analyst (Hybrid) in Bristol

Power BI & Project Controls Data Analyst (Hybrid) in Bristol

Bristol Full-Time 35000 - 45000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and develop dashboards, conduct data modelling, and execute DAX calculations for impactful insights.
  • Company: AtkinsRéalis, a leading firm in Bristol with a focus on innovation.
  • Benefits: Competitive salary and a flexible hybrid work culture.
  • Other info: Exciting opportunity for career growth in a dynamic environment.
  • Why this job: Join a multidisciplinary team and make data-driven decisions that matter.
  • Qualifications: Strong expertise in Power BI, SQL, and project controls required.

The predicted salary is between 35000 - 45000 £ per year.

AtkinsRéalis, located in Bristol, is looking for a skilled Data & Power BI Analyst. This role entails designing and developing dashboards, conducting data modeling, and executing DAX calculations for impactful insights. Collaborating within a multidisciplinary team, the Analyst will translate business needs into visualizations and support data-driven decisions.

Applicants should have strong expertise in Power BI and SQL, experience in project controls, and excellent communication skills. The position offers competitive salaries and a hybrid work culture.

Power BI & Project Controls Data Analyst (Hybrid) in Bristol employer: AtkinsRéalis

AtkinsRéalis is an exceptional employer that fosters a collaborative and innovative work culture in the vibrant city of Bristol. With a strong emphasis on employee growth, we offer competitive salaries, flexible hybrid working arrangements, and opportunities to engage in meaningful projects that drive data-driven decisions. Join us to be part of a multidisciplinary team where your skills in Power BI and project controls will be valued and developed.

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Contact Details:

AtkinsRéalis Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Power BI & Project Controls Data Analyst (Hybrid) in Bristol

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 AtkinsRéalis!

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 & Project Controls Data Analyst (Hybrid) at AtkinsRéalis.

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 AtkinsRéalis.

Apply Directly through Our Website

When you find a suitable opening like Power BI & Project Controls Data Analyst (Hybrid) at AtkinsRéalis, 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 & Project Controls Data Analyst (Hybrid) in Bristol

Power BI
SQL
Data Modelling
DAX Calculations
Dashboard Design
Data Visualisation
Project Controls

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 AtkinsRéalis, 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 AtkinsRéalis. 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 AtkinsRéalis

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 AtkinsRéalis!

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.