BI Developer: Power BI & Snowflake Expert in London

BI Developer: Power BI & Snowflake Expert in London

London Full-Time 50481 - 61699 £ / year (est.) No working from home possible
INEOS

At a Glance

  • Tasks: Create and manage impactful Power BI dashboards using Snowflake data.
  • Company: Join INEOS Automotive, a leader in innovative automotive solutions.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Be part of a dynamic team driving innovation in the automotive industry.
  • Why this job: Make a difference in global sales and customer experience with your skills.
  • Qualifications: Experience with Power BI and Snowflake is essential.

The predicted salary is between 50481 - 61699 £ per year.

INEOS Automotive is seeking a BI Developer to join Global Sales Operations.

You will build and maintain the reporting estate supporting global sales, retailer and customer experience.

This hands-on role centers on turning requirements into robust Power BI solutions on top of Snowflake data, spanning leads, orders, handovers, retailer performance, inventory and CX.

You will work with a Microsoft Power BI stack, Snowflake, and Power Automate to deliver dashboards.

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BI Developer: Power BI & Snowflake Expert in London employer: INEOS

At INEOS in Grangemouth, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous training opportunities and a supportive environment that encourages professional development. With competitive benefits and a focus on improving business performance, we offer a rewarding career path for those looking to make a meaningful impact in project management.

INEOS

Contact Details:

INEOS Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land BI Developer: Power BI & Snowflake Expert 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 INEOS!

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 BI Developer: Power BI & Snowflake Expert at INEOS.

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 INEOS.

Apply Directly through Our Website

When you find a suitable opening like BI Developer: Power BI & Snowflake Expert at INEOS, 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 BI Developer: Power BI & Snowflake Expert in London

Power BI
Snowflake
Power Automate
Data Reporting
Dashboard Development
Data Analysis
Customer Experience (CX) Metrics

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 INEOS, 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 INEOS. 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 INEOS

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 INEOS!

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.