At a Glance
- Tasks: Lead data-driven projects and translate complex problems into actionable solutions.
- Company: Join a dynamic team at a leading retail company focused on innovation.
- Benefits: Enjoy flexible working, generous holiday, and a £1000 benefits allowance.
- Other info: Opportunity for career growth in a fast-paced, product-led setting.
- Why this job: Make a real impact on decision-making and drive transformation in a collaborative environment.
- Qualifications: Experience as a Senior Business Analyst with strong analytical and stakeholder management skills.
The predicted salary is between 57036 - 69710 £ per year.
As a Senior Business Analyst, you will lead discovery and delivery across large, cross-functional data-focused programs. You will translate complex problems into clear data requirements and actionable solutions, partnering with Product, Data Engineering, Analytics and business stakeholders. You will analyse processes, data flows and customer journeys to identify improvements, while shaping outcomes, KPIs and business cases. You’ll own requirements through implementation, support data platform evolution, and help realise measurable benefits. This is a chance to impact decision-making and drive data-driven transformation in a collaborative, product-led environment.
Pay / Benefits
- Flexible, hybrid working model
- 1000 flexible benefits allowance
- 30 days holiday + bank holidays
- LinkedIn Learning access
- Bonus potential (performance and business-related)
- Up to 25% discount on Very.co.uk
Responsibilities
- Lead strategic discovery to identify data-driven opportunities and define value-delivering solutions
- Translate complex business problems into clear requirements and data solutions with cross-functional teams
- Analyse processes, data flows, customer journeys, and operational challenges to find improvements
- Facilitate workshops with senior stakeholders to define outcomes, KPIs, and business cases
- Own requirements from discovery to implementation with full traceability
- Prioritise backlogs with Product Managers based on impact, value, risk and complexity
- Support evolution of data platforms, governance, master data, data quality and self-service analytics
- Use quantitative and qualitative analysis to inform decisions and measure outcomes
- Lead solution validation, UAT strategy and benefits realization
- Provide guidance on organizational change and adoption of new data capabilities
- Influence senior leaders and align multiple teams across functions
Key requirements
- Significant experience as a Senior Business Analyst in large, complex environments
- Proven delivery of data, analytics, reporting, or platform transformation programmes
- Strong understanding of data architecture, data flows, governance, quality, and modern data ecosystems
- Experience collaborating with Data Engineering, BI, Analytics, Product and Technology teams
- Advanced requirements engineering, process modelling and systems analysis
- Strong analytical capability to interrogate data and translate findings into recommendations
- Experience defining KPIs, business cases and benefits tracking frameworks
- Exceptional stakeholder management with ability to influence at Director/Executive level
- Strong facilitation, negotiation and communication skills to simplify complex concepts
- Experience in Agile environments across multidisciplinary teams
- Nice to have: data governance, master data, AI or advanced analytics initiatives
- Nice to have: vendor selection and technology evaluations
- Nice to have: knowledge of Retail, eCommerce, Financial Services or customer-centric environments
- Nice to have: professional certifications such as CBAP, CCBA, BCS, SAFe or Agile qualifications
- Stakeholder management
- Facilitation and negotiation
- Effective communication
- Data governance
- Data quality
- Data architecture
Senior Data Business Analyst employer: The Very Group
The Very Group is an exceptional employer that fosters a collaborative and innovative work culture, perfect for aspiring finance professionals. Located in the vibrant East Midlands, we offer comprehensive employee growth opportunities, including training and development programmes, alongside competitive benefits that support work-life balance. Join us to be part of a dynamic team where your contributions directly impact our financial success and operational excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Business Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The Very Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Business Analyst at The Very Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The Very Group.
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We think you need these skills to ace Senior Data Business Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at The Very Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The Very Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The Very Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The Very Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
