At a Glance
- Tasks: Bridge business goals and tech execution, analysing customer journeys and defining actionable outcomes.
- Company: Feel-good fashion brand with over 55 years of making style accessible.
- Benefits: 40% staff discount, collaborative culture, and opportunities for professional growth.
- Other info: Work with cutting-edge AI tools and enjoy a vibrant, supportive work environment.
- Why this job: Join a dynamic team to drive innovation and make a real impact in retail.
- Qualifications: Experience in retail domains, strong analytical skills, and ability to communicate effectively.
The predicted salary is between 54000 - 66000 £ per year.
We're the feel-good fashion brand making style accessible and fun for over 55 years, on our website, mobile app and over 300 stores in the UK. By living our values - we play to win, customer obsessed, we are one and it starts with me - we deliver That New Look Feeling for our customers and each other.
The Business Analyst (BA) is a vital bridge between business goals and technical execution. The BA plays a critical role in delivery and transformation, working closely with product, engineering, data, and business teams to analyse customer journeys, define requirements, and translate complex business problems into clear, actionable outcomes. The role focuses on rapid delivery, cross functional stakeholder management, delivering value, and embedding AI tools to accelerate insight, decision-making, and value realisation.
What You'll Be Doing
- Complete strategic analysis and shape initiatives into defined scope and outcomes, with supporting delivery plans.
- Analyse complex business problems using data to define clear, actionable outcomes.
- Ownership of Business requirements and acceptance criteria including elaboration, refinement, validation and traceability.
- Analyse Customer journeys and Business processes, documenting impacts, identifying areas for opportunity and lead the agreement of cross functional 'To Be' process change.
- Bridge operational stakeholders with tech delivery functions, internal departments and/or third parties.
- Lead discovery and analysis activities to define business problems, opportunities and required value outcomes.
- Support any supplier/hardware/software selection process by providing relevant requirements into an RFI and RFP and assisting in the assessment of responses against requirements.
- Review Statements of Work and agreeing success criteria.
- Elicit, document, and manage Business requirements, user stories, and acceptance criteria.
- Ensure both functional and non-functional requirements, including cyber security, are considered, validated and accepted.
- Inspect and analyse data from a variety of sources to inform recommendations and/or solutions.
- Analyse end-to-end customer and business journeys to identify improvements and AI-enabled opportunities.
- Document To Be processes gaining acceptance and ultimately embedding new processes.
- Support experimentation, pilots, and rapid iterations to validate value and feasibility.
- Understand options, limitations, costs and risks.
- Communicate any trade-offs with business partners and work with them to shape requirements accordingly.
- Work with QEs to support test scenarios, defect triage and defect prioritisation.
- Define changes and/or impacts to service operations to ensure a fully supported solution.
- Support service transition and business cut-over activities.
- Provide necessary information and KT to relevant stakeholders in readiness for go-live.
- Support any change and adoption activities to embed the change within Business and Service.
- Use of AI tools to support the BA activities.
- Ensure AI and data governance responsibilities are captured and assessed when reviewing solution requirements and options.
- Stay updated with the latest industry trends, techniques and technologies.
- Seek opportunities to learn more about AI/Agentic AI and how the technology can support both the BA community and across wider business operational processes.
Who You Are
- Experience of working across multiple retail domains such as digital, data, customer, stores and core operational domains.
- Good understanding of digital and omni-channel retailing.
- Understanding of Business situations, analysing and managing business information for decision-making.
- Proven ability to work in cross functional teams and work with cross functional stakeholders.
- Experience using AI-enabled tools for analysis and documentation.
- Ability to analyse problem areas, understand 'why', find the root cause, understand the goal.
- Ability to quickly learn the objectives, structures, operations and policies of a new business area.
- Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally, visually and in writing.
- Clear and concise communicator, collaborator and "people person" capable of sharing a vision, aligning people, focusing efforts and motivating the team.
- Experience in delivering value following Agile, Iterative and Waterfall methodologies.
- Experience of working on multiple initiatives, at the same time, with different teams/sponsors etc.
- Ability and experience of working with third parties, including both solution suppliers and as project resource.
- Experience in engaging with senior and C-level executives to understand their needs.
- Ability to analyse complex problems, support the development of innovative solutions, and make data-driven decisions.
- Experience of working with variety of team structures with onshore, offshore and remote team members and business stakeholders.
- Use and champion toolsets as required, for example: JIRA and confluence (Rovo), Copilot, Miro, Visio, Slack, Power BI, Teams, AI tools/models.
What's In It For You
40% staff discount plus friends.
Business Analyst (Weymouth or London Based) employer: New Look
NEW LOOK is an excellent employer that fosters a collaborative and innovative work culture, particularly for those in the Senior Technologist role. With a strong emphasis on professional development and continuous improvement, employees are encouraged to grow their skills while contributing to high-quality product standards. Located in a vibrant retail environment, the company offers unique opportunities to influence product quality and drive meaningful change within the fashion industry.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst (Weymouth or London Based)
✨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 New Look!
✨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 Business Analyst (Weymouth or London Based)
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 New Look, 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 New Look
✨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 New Look’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.
