At a Glance
- Tasks: Design and maintain Power BI dashboards while providing actionable insights from diverse data sources.
- Company: Join the innovative PD&MS Group in Aberdeen, part of a dynamic DS&T Team.
- Benefits: Enjoy a flexible hybrid work model with two remote days per week.
- Other info: Opportunity for career growth in a supportive and engaging environment.
- Why this job: Make an impact by driving BI strategy and collaborating with data engineers.
- Qualifications: Experience in Power BI development and strong collaboration skills required.
The predicted salary is between 37035 - 45265 £ per year.
PD&MS Group in Aberdeen invites a skilled Power BI Developer to join the DS&T Team on a full-time basis.
You will design and maintain Power BI dashboards, model data, and provide actionable insights from diverse data sources.
Collaborating with data engineers and stakeholders, you will drive BI strategy, support data warehousing and ETL processes, and ensure robust deployment pipelines within a flexible hybrid work model offering two remote days per week.
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Power BI Developer - Hybrid, Data Insights & Dashboards employer: Globalenergynetwork
Optimus Plus is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the energy sector. With flexible hybrid working options available from our Aberdeen or Glasgow offices, employees benefit from a strong focus on professional development and a commitment to delivering sustainable engineering solutions. Our inclusive culture values diversity and encourages team members to grow their skills while contributing to impactful projects across the UK and Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Power BI Developer - Hybrid, Data Insights & Dashboards
✨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 Globalenergynetwork!
✨Show Off Your Projects
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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 Globalenergynetwork.
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We think you need these skills to ace Power BI Developer - Hybrid, Data Insights & Dashboards
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 Globalenergynetwork, 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 Globalenergynetwork. 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 Globalenergynetwork
✨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 Globalenergynetwork!
✨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.
