Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Business Intelligence Manager

Park Royal
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - Market Intelligence

Senior Data Engineer - Market Intelligence

Senior Data Engineer refH225

Business Data Analyst

Senior Data Analyst

Senior Data Analyst

Founded in 2003 by Dong Hyun Kim, his mission was simple, to make fresh and flavorsome sushi and bento available to everyone. Almost 20 years later Wasabi have 40 successful branches across London, other UK major cities and New York.

The journey continued in 2019 with the launch of Wasabi Home Bento exclusively into Sainsbury's. After several years of great success there, the grocery business expanded launching into Tesco in September 2022. Wasabi has now firmly established itself as the No2 chilled ready meal brand and a driver of significant market growth. And we’re just getting started. The leadership team have set out their 5 year strategy which encompasses company growth, franchise and international expansion.

Our menu is renowned for its distinctiveness, freshness and flavour. The cold food range of sushi, pokes and salads are made fresh daily in our branch kitchens and our hot bento, noodle bowls and soups offer an indulgent and comforting alternative to our broad and democratic demographic.

As we prepare for our next phase of growth and innovation, we have an incredibly exciting opportunity for a Senior Business Intelligence Manager to join our IT Team based in Park Royal.

The Role:

The Head of Business Intelligence will lead the data analytics and BI activity across Wasabi; developing, delivering and leveraging internal and external data to improve business performance.  Wasabi's system evolution is just beginning with a new ERP, Azure Data Warehouse, till system with more developments in the pipeline. The Head of BI will be the focus for developing expertise on using available data from Azure, using PowerBI and other tools such as Sequel.  They will have direct control over the required data integration and centralisation.

The incumbent will lead the design and automation of streamlined, enhanced processes and procedures and contribute to the transition to new systems, ensuring effective integration of data.  The role will involve annual planning of the Data and BI roadmap in terms of data sources, architecture and operational access.

This is a newly created role offering opportunity to define the function and the best route towards exploiting more innovative methods such as statistical and generative AI.  At the outset the role will be focused on ensuring that there is an understood centralised data model used by the business and a set of reports and dashboards that accurately describe performance. This will include the acquisition of external data for benchmarking against competitors, industries and trends.

Key Responsibilities:

Partner with leaders and subject matter experts to best understand the business needs and help shape those needs into the most useful reporting developments and infrastructure. 

Create a matrix data organisation with leaders, SMEs and suppliers, initially as the single focus point in Wasabi with potential to grow a high functioning Data Analysis function.

Take part in strategy, planning, selection, development and integration of all new systems and data partners

Provide insight and improvements on existing data flows

Drive data centralisation around a Data Warehouse with a standardised business wide Data Model

Define the roadmap towards richer data capability such as Statistical and Generate AI

Enhance existing data governance practices to elevate data availability, quality & security

Support the implementation of Forward Financial Planning systems

Lead and build a matrix data team from Leaders, Subject Matter Experts and Suppliers

Define and develop the Wasabi data operating model and organisation

As the key focal point for Data in Wasabi this role will take responsibility for Data policies and adherence to GDPR practices.

Act as a trusted data partner, advising stakeholders on data-driven decision-making for business improvement including Wasabi's key ESG responsibilities and commitments

Work with cross-functional teams to understand business needs and translate them into data led solutions

Provide guidance and support to Data Analytics users

Our requirements:

Mandatory Experience

Proficiency in data analysis tools and techniques, business intelligence platforms, and data visualization tools (especially PowerBI and Azure Data Warehouse)

Experience of Forward Financial Planning systems

Experience in business partnering and production of business data solutions

Excellent communication, collaboration, and stakeholder management skills

Experience of leading and defining data operating models

Beneficial Experience

Advanced knowledge of SQL including building complex queries and administrative scripts

Experience in programming languages such as R/Python

Experience in the Retail and Manufacturing hospitality

Project management experience, including the ability to effectively plan, execute, and monitor projects to successful completion

Bachelor’s degree in data science, computer science, information management or other relevant field

In return we provide:

A great working environment

Pension scheme

Refer A Friend Scheme

Free Sushi or hot food (vegan options available)

50% discount in our Branches

Employee Assistant Programme

Hybrid working model

Wagestream - a financial wellbeing benefit that lets you access your pay as you earn it in real time and manage savings

Life Assurance

Cycle to Work 

Free on-site parking

A variety of discounts (shopping, food & drink, entertainment and health & fitness) through Perkbox and

The opportunity to develop your skills within a growing company.

We are pleased to offer visa sponsorship for this role to qualified candidates.

Our people make us who we are. Join a company where you’ll have the opportunity to work for a growing company and build a real career.

COME ROLL WITH US

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.