Senior BI Developer, Front Office Data in London

Senior BI Developer, Front Office Data in London

London Full-Time 60000 - 75000 £ / year (est.) No working from home possible
PVH (Tommy Hilfiger/Calvin Klein)

At a Glance

  • Tasks: Develop and enhance enterprise-grade BI solutions for data integration and analytics.
  • Company: Join MUFG's innovative Front Office Management Information team.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Work in a dynamic environment with global teams and excellent career advancement potential.
  • Why this job: Make a real impact by driving data solutions that meet business needs.
  • Qualifications: Experience in BI development and strong collaboration skills required.

The predicted salary is between 60000 - 75000 £ per year.

MUFG's Front Office Management Information (FOMI) team sits within the DEBI department and focuses on enterprise-grade BI solutions for data integration, processing, warehousing, and analytics across the Front Office and beyond. The BI Developer will hands-on develop and evolve data systems, drive deliverables across geographically dispersed teams, and ensure solutions meet business needs while maintaining performance and governance standards.

Senior BI Developer, Front Office Data in London employer: PVH (Tommy Hilfiger/Calvin Klein)

Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.

PVH (Tommy Hilfiger/Calvin Klein)

Contact Details:

PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior BI Developer, Front Office Data in London

Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like PVH (Tommy Hilfiger/Calvin Klein)!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Senior BI Developer, Front Office Data in London

Business Intelligence Solutions
Data Integration
Data Processing
Data Warehousing
Data Analytics
Performance Management
Governance Standards

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at PVH (Tommy Hilfiger/Calvin Klein), tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at PVH (Tommy Hilfiger/Calvin Klein)

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with PVH (Tommy Hilfiger/Calvin Klein)’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.