Power Platform Specialist: Apps, Automate & BI in London

Power Platform Specialist: Apps, Automate & BI in London

London Full-Time 60750 - 74250 £ / year (est.) Home office (partial)
P

At a Glance

  • Tasks: Support and optimise the Microsoft ecosystem using Power Platform solutions.
  • Company: Polo, a dynamic company focused on innovation and collaboration.
  • Benefits: Hybrid working, competitive benefits, and opportunities for professional growth.
  • Other info: Join a vibrant team and enhance your career in a supportive setting.
  • Why this job: Become a subject matter expert and make a real impact in a tech-driven environment.
  • Qualifications: Experience with Power Apps, Power BI, and strong problem-solving skills.

The predicted salary is between 60750 - 74250 £ per year.

Polo seeks a Microsoft Analyst in London to support and optimize the Microsoft ecosystem across Polo Works.

You will act as the subject matter expert for Power Platform solutions, helping to resolve issues, improve processes and drive adoption.

Working with Power Apps, Power BI and Dataverse, you will troubleshoot complex problems, govern data and security, and translate technical concepts into practical tools for users.

This role offers hybrid working with competitive benefits.

#J-18808-Ljbffr

Power Platform Specialist: Apps, Automate & BI in London employer: Polo

Polo is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, we offer extensive training opportunities and a hybrid working model that promotes work-life balance. Join us to be part of a dynamic team where your expertise in Power Platform will not only be valued but also play a crucial role in driving our digital transformation.

P

Contact Details:

Polo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Power Platform Specialist: Apps, Automate & BI in London

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 Polo!

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 Platform Specialist: Apps, Automate & BI at Polo.

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 Polo.

Apply Directly through Our Website

When you find a suitable opening like Power Platform Specialist: Apps, Automate & BI at Polo, 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 Platform Specialist: Apps, Automate & BI in London

Power Platform
Power Apps
Power BI
Dataverse
Troubleshooting
Process Improvement
Data Governance

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 Polo, 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 Polo. 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 Polo

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 Polo!

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.