At a Glance
- Tasks: Lead fraud analytics and develop reporting systems using SQL and Looker.
- Company: Join Tripledot Studios, a dynamic gaming company in Greater London.
- Benefits: Enjoy hybrid working, paid holidays, and private medical cover.
- Other info: Great opportunities for continuous professional development and employee support.
- Why this job: Make an impact by enhancing data infrastructure and driving insights.
- Qualifications: Extensive SQL experience and proficiency in Looker required.
The predicted salary is between 50000 - 65000 € per year.
Tripledot Studios in Greater London is seeking a BI Engineer to lead fraud analytics and develop reporting systems. The role requires extensive SQL experience, proficiency in Looker, and the ability to analyze and communicate complex data insights. You will work closely with cross-functional teams to enhance data infrastructure.
The position offers hybrid working, numerous benefits including paid holidays, employee support programs, continuous professional development opportunities, and private medical cover.
Fraud Analytics BI Engineer | Looker & SQL Pro in London employer: Tripledot Studios
Tripledot Studios is an exceptional employer located in Greater London, offering a dynamic work culture that fosters collaboration and innovation. With a strong emphasis on employee growth, the company provides continuous professional development opportunities, hybrid working arrangements, and a comprehensive benefits package including private medical cover and paid holidays, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Analytics BI Engineer | Looker & SQL Pro in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Tripledot Studios. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Looker projects. This will give you an edge and demonstrate your expertise in fraud analytics to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common BI Engineer questions. Practice explaining complex data insights clearly, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Fraud Analytics BI Engineer | Looker & SQL Pro in London
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your extensive SQL experience in your application. We want to see how you've used SQL to tackle complex data challenges, so don’t hold back on those examples!
Demonstrate Your Looker Proficiency:Since Looker is a key part of this role, include any relevant projects or experiences where you’ve used Looker to develop reporting systems. We love seeing how you can turn data into insights!
Communicate Clearly:Your ability to analyse and communicate complex data insights is crucial. Use clear and concise language in your application to show us that you can make data understandable for everyone.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for all the fantastic benefits we offer!
How to prepare for a job interview at Tripledot Studios
✨Master Your SQL Skills
Make sure you brush up on your SQL knowledge before the interview. Be prepared to discuss your experience with complex queries and data manipulation, as well as any specific projects where you've used SQL to drive insights.
✨Show Off Your Looker Expertise
Familiarise yourself with Looker and be ready to talk about how you've used it in past roles. Bring examples of dashboards or reports you've created, and be prepared to explain how they helped stakeholders make informed decisions.
✨Communicate Complex Insights Clearly
Practice explaining complex data findings in a simple way. You might be asked to present a case study or a past project, so think about how you can break down your analysis for someone who may not have a technical background.
✨Collaborate with Cross-Functional Teams
Highlight your experience working with different teams. Be ready to share examples of how you've collaborated with non-technical colleagues to enhance data infrastructure or solve problems, as this role will require strong teamwork skills.
