At a Glance
- Tasks: Lead the delivery of business-critical analytics and architect scalable data solutions.
- Company: Join VML, a leading creative company known for innovative work with top global brands.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a diverse team committed to fostering a culture of respect and inclusion.
- Why this job: Make a real impact by driving data-driven decision-making in a dynamic environment.
- Qualifications: Strong technical skills in data architecture, analytics, and stakeholder management required.
The predicted salary is between 60000 - 80000 £ per year.
VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award‑winning work for blue chip client partners including AstraZeneca, Colgate‑Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca‑Cola Company, and Wendy’s.
We are seeking a highly capable Senior Business Intelligence Engineer to lead the delivery of business‑critical analytics used by hundreds of stakeholders globally across a large listed organisation. This role is responsible for architecting scalable, resilient, and modern data solutions across fragmented and complex source systems, while delivering high‑quality analytics, reporting, and insight capabilities that support strategic decision‑making across the business.
The position sits within the Business Operations & Transformation team, where data and analytics are viewed as a key strategic enabler for driving operational alignment, commercial focus, and organisational transformation. The ideal candidate will combine strong technical expertise with commercial and financial acumen, and will be comfortable engaging senior stakeholders across Finance, Commercial, Operations, Business Development and Technology functions.
This is an opportunity to play a leading role in elevating WPP Creative’s strategic analytics capability.
Key Responsibilities- Architect and oversee scalable end‑to‑end data pipelines across fragmented and heterogeneous source systems.
- Design and implement robust ETL/ELT frameworks and modern lakehouse architectures.
- Build and maintain enterprise‑grade data platforms, including ingestion pipelines, data warehousing, semantic models, and reporting layers.
- Deliver high‑quality analytics, dashboards, and self‑service reporting solutions using Power BI and Microsoft Fabric.
- Enable advanced analytics, automation, and data transformation using Python and SQL.
- Partner closely with Finance, Commercial, Operations, Business Development, and Enterprise Technology teams.
- Act as a trusted advisor to senior leadership, translating strategic business priorities into data and analytics solutions.
- Provide insightful analysis, recommendations, and performance reporting to support optimisation and decision‑making.
- Develop and govern additional data collection practices to improve data availability and accessibility.
- Implement and maintain Row‑Level Security (RLS) and data access controls across enterprise reporting and analytics solutions.
- Establish and promote governance, standards, and best practices for data quality, security and analytics delivery.
- Develop reusable semantic models.
- Support both strategic initiatives and ad‑hoc analytical deep dives across operational and financial datasets.
- Drive adoption of data‑driven decision‑making across the organisation.
- Build strong relationships with technical and non‑technical stakeholders across a matrix organisation.
- Contribute to the ongoing evolution of the organisation’s BI and data strategy.
- Strong understanding of the modern data stack, including data modelling, warehousing, and large‑scale ETL/ELT pipeline development.
- Proven experience architecting and managing complex enterprise data pipelines across fragmented systems.
- Deep expertise in: Databricks, Microsoft Fabric, Power BI, SQL, Python.
- Strong understanding of modern cloud data architecture principles, including lakehouse and medallion architectures.
- Experience developing enterprise dashboards and self‑service analytics capabilities.
- Strong business analysis skills with the ability to translate operational and financial challenges into technical and analytical solutions.
- Comfortable analysing and interpreting financial, commercial, and operational datasets.
- Experience operating within complex, matrixed, and transformation‑focused organisations.
- Excellent stakeholder management, communication, and presentation skills.
- Comfortable balancing hands‑on technical delivery with leadership responsibilities.
- Experience with ERP platforms such as Workday, Dynamics, Maconomy and SAP.
- Understanding of Azure cloud services and broader cloud ecosystem architecture.
- Experience implementing data governance, master data management, and compliance frameworks.
- Relevant cloud, analytics, or data platform certifications.
- Data collection design.
- Collaborative, influential, and delivery‑focused.
- Comfortable operating in ambiguity and complex organisational environments.
- Strong attention to detail and commitment to data quality.
- Able to communicate effectively with both technical and non‑technical audiences.
- Naturally curious with a continuous improvement mindset.
- Passionate about leveraging data to drive business performance and transformation.
WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Senior Business Intelligence Engineer employer: Role, Inc.
VML, part of WPP, is an exceptional employer that champions innovation and creativity within a collaborative work culture. Employees benefit from extensive growth opportunities, working alongside talented professionals on impactful projects for renowned global brands. Located in vibrant cities like London, VML offers a dynamic environment where data-driven decision-making is at the forefront, empowering employees to make meaningful contributions to the company's success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Intelligence Engineer
✨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 Role, Inc.!
✨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 Business Intelligence Engineer
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 Role, Inc., 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 Role, Inc.
✨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 Role, Inc.’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.
