At a Glance
- Tasks: Lead business transformation and tech initiatives in the retail and hospitality sectors.
- Company: Dynamic company focused on innovation and collaboration in retail and hospitality.
- Benefits: Inclusive culture, skill development, and opportunities to work on exciting projects.
- Other info: Join a supportive team that values diversity and empowers your growth.
- Why this job: Make a real impact by improving processes and driving change in a vibrant industry.
- Qualifications: Experience in business analysis, retail, and hospitality operations is essential.
The predicted salary is between 40500 - 49500 £ per year.
We are seeking an experienced Business Analyst with strong Retail and Hospitality sector experience to support business transformation, technology implementation and data lead change initiatives across a drinks/restaurant-led retail and pub/hospitality environment. The successful candidate will combine strong Business Analysis and consultancy capability with practical experience working with retail and/or pub and hospitality operations.
Responsibilities:
- Act as a trusted Business Analyst and consultant to business and operational stakeholders.
- Lead workshops, interviews, process analysis and requirements elicitation across retail and hospitality operations.
- Analyse business problems and challenge existing processes and assumptions to identify opportunities for simplification, standardisation and improvement.
- Translate business needs into clear requirements, user stories, process models and actionable recommendations.
- Facilitate collaboration between business stakeholders, technology teams, Product Owners and delivery teams.
- Apply practical knowledge of pub, hospitality, drinks retail and/or licensed retail operations to support business change and transformation initiatives.
- Understand operational processes including sales, ordering, stock management, replenishment, promotions, pricing, product management, supplier management and customer engagement.
- Analyse the impact of proposed changes across pubs, stores, branches, central functions and operational teams.
- Identify operational inefficiencies, manual processes, duplication and opportunities for automation and digital enablement.
- Understand the relationship between front-of-house operations, back-office processes, supply chain and corporate functions.
- Analyse and define requirements for POS, PIM, inventory and supply chain systems and their supporting business processes.
- Support initiatives involving product, pricing, promotions, sales transactions, payments and POS integrations.
- Analyse Product Information Management (PIM) processes, including product data, product attributes, categorisation, enrichment, governance and distribution of product information across channels.
- Analyse inventory and stock management processes, including stock visibility, ordering, replenishment, wastage, stock adjustments and reconciliation.
- Support supply chain processes including purchasing, supplier management, product distribution and inventory movement.
- Understand integrations and data flows between POS, PIM, inventory, supply chain, finance, CRM and other enterprise systems.
- Identify opportunities to improve data quality, operational efficiency and consistency across retail and hospitality platforms.
- Support cloud migration and data platform transformation programmes, including assessment of current-state platforms, business impacts, requirements and future-state capabilities.
- Work with data architects, engineers, analysts and business stakeholders to define requirements for modern data platforms and data products.
- Analyse data flows, sources, transformations, interfaces and dependencies across retail, operational and corporate systems.
- Define requirements for data ingestion, transformation, storage, quality, access and consumption.
- Support the development of analytics, Management Information (MI), reporting, dashboards and data products that enable effective business decision-making.
- Translate business and analytical needs into clear data requirements, definitions, business rules, KPIs and acceptance criteria.
- Identify opportunities to improve data quality, accessibility, consistency, governance and usability.
- Define business requirements for CRM and customer-facing capabilities.
Requirements:
- Strong core Business Analysis and consultancy skills, including requirements elicitation, process analysis, workshop facilitation, stakeholder management and problem solving.
- Strong understanding of the relationship between business processes, operational systems, data and technology.
- Strong stakeholder management and communication skills, with the ability to engage operational teams through to senior business stakeholders.
- Experience with Robotic Process Automation (RPA) and intelligent automation.
- Knowledge of Machine Learning (ML) or AI-enabled business/data solutions.
- Understanding of AI and data governance, including data quality, responsible AI, data ownership and controls.
- Familiarity with data governance frameworks, data catalogues, data lineage and master data management.
- Significant experience working as a Business Analyst within Retail, Hospitality, Food & Beverage, Leisure or a closely related consumer-facing environment.
- Practical experience within pubs, hospitality or licensed retail operations.
- Demonstrable experience working with Point of Sale (POS) systems and retail transaction processes.
- Experience of replatforming, platform replacement or major technology transformation within a retail, hospitality or consumer-facing environment.
- Experience of inventory, stock management and/or supply chain processes.
- Experience working with Product Information Management (PIM) or product data management solutions.
- Experience working with CRM or customer management solutions.
- Experience of cloud migration or cloud transformation programmes.
- Experience working with data platforms, data transformation or data and analytics programmes.
- Practical experience supporting data migration programmes, including data mapping, transformation, cleansing, validation and reconciliation.
- Experience analysing system integrations, interfaces and data flows across multiple business applications.
- Experience translating business requirements into functional requirements, user stories and acceptance criteria.
- Experience working within Agile delivery environments.
- Relevant degree or equivalent professional experience in Business Analysis, Business, Retail, Hospitality, Technology or a related discipline.
Desirable:
- Relevant Business Analysis qualification such as BCS Business Analysis Diploma, IIBA or equivalent would be advantageous.
- Relevant qualifications or certifications in Data, Cloud, Analytics would be advantageous.
- Relevant retail, hospitality, supply chain, CRM, PIM or technology certifications would be advantageous.
- Experience working for or with a pub group, brewery, drinks distributor, drinks retailer, hospitality group or licensed retail organisation.
- Experience with enterprise or cloud-based POS platforms.
- Experience with PIM platforms and product catalogue solutions.
- Experience with retail inventory management, warehouse management or supply chain management systems.
- Experience with CRM, customer loyalty or marketing platforms.
- Experience with ERP, finance or procurement systems supporting retail operations.
- Experience with e-commerce, mobile ordering, delivery or omnichannel retail.
- Experience with Power BI or other retail/business intelligence and reporting platforms.
- Experience supporting large-scale retail technology transformation or systems implementation programmes.
- Experience working within a Data & Analytics Centre of Excellence (CoE) or similar capability.
- Experience with modern cloud data platforms, data lakes, data warehouses or lakehouse architectures.
Conditions:
- Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges.
- We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects.
- Always working as one team, our people are not afraid to think big and challenge the status quo.
- Ensure our recruitment process is inclusive and accessible.
- Communicating and promoting vacancies.
- Offering an interview to disabled people who meet the minimum criteria for the job.
- Anticipating and providing reasonable adjustments as required.
- Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work.
- We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.
Business analyst in retail in London employer: Expleo Group
Expleo is an exceptional employer that offers a unique opportunity for strategic leadership in the Marine sector, fostering a culture of innovation and collaboration. With a focus on employee growth and development, you will be part of a high-performing team dedicated to delivering cutting-edge engineering and technology services within one of the UK's most vital industries. The hybrid work model allows for flexibility while being at the forefront of marine engineering and defence innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Business analyst in retail in London
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We think you need these skills to ace Business analyst in retail in London
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 Expleo Group, 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 Expleo Group
✨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 Expleo Group’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.
