At a Glance
- Tasks: Analyse data needs and create solutions for a centralised enterprise data platform.
- Company: Join a forward-thinking organisation focused on meaningful change and innovation.
- Benefits: Competitive salary, hybrid working, and a commitment to diversity and inclusion.
- Other info: Exciting transformation roadmap with opportunities for professional growth.
- Why this job: Be part of high-profile projects that shape data-driven decision-making.
- Qualifications: Experience in data projects, strong stakeholder management, and knowledge of Microsoft Azure.
The predicted salary is between 60000 - 65000 £ per year.
This is an opportunity to work on a large-scale data programme focused on building a centralised enterprise data platform within Microsoft Fabric, bringing together data from multiple business systems to create a single source of truth and unlock better reporting, insight and decision-making across the organisation.
As the Senior Data Business Analyst, you'll work closely with stakeholders across the business, data, and technology teams to understand requirements, map processes and define solutions that support the ongoing development of the organisation's core platform. You'll be involved in a variety of projects, helping onboard new systems and data sources, improving data quality and supporting the delivery of strategic transformation initiatives.
What you'll be doing:
- Gathering, analysing and documenting business requirements
- Facilitating workshops and engaging stakeholders across multiple functions
- Supporting data integration and system onboarding projects
- Working alongside Data Engineering and Technology teams to translate business needs into technical solutions
- Creating user stories, process maps, functional specifications and acceptance criteria
- Supporting testing, implementation and change activities
- Contributing to data governance, quality and transformation initiatives
What we're looking for:
- Experience working within a housing association or social housing environments (desirable)
- Proven experience as a Business Analyst within data projects or data transformation programmes
- Strong requirements gathering and stakeholder management skills
- Experience working on data-related projects, data warehouses or reporting platforms
- Understanding of enterprise data environments
- Exposure to Microsoft Azure (essential) and/or Microsoft Fabric (desirable)
- Experience working within Agile delivery environments
This is an exciting time to join an organisation with a substantial transformation roadmap, significant investment in data and technology, and a culture focused on delivering meaningful change. You'll have the opportunity to work on high-profile projects that directly influence how the business uses data to make decisions and improve outcomes.
Hybrid working, 1x day per week in the Farringdon office in London. Fixed term opportunity - Initial 2 year contract length. Salary £60,000 - £65,000 + benefits.
We are an equal opportunity recruitment company. This means we welcome applications from all suitably qualified people regardless of race, sex, disability, religion, sexual orientation or age. We are particularly invested in Neurodiversity inclusion and offer reasonable adjustments in the interview process. Reasonable adjustments are changes that we can make in the interview process if your disability puts you at a disadvantage compared with others who are not disabled. If you would benefit from a reasonable adjustment in your interview process, please call or email one of our recruiters.
Senior Data Business Analyst in London employer: Big Red Recruitment
Join a forward-thinking organisation that prioritises meaningful change and innovation in data management. With a strong commitment to employee growth, you will have the chance to work on high-profile projects within a collaborative hybrid work environment in Farringdon, London. Our inclusive culture not only values diverse perspectives but also actively supports neurodiversity, ensuring that all employees can thrive and contribute to our ambitious transformation roadmap.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Business Analyst in London
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We think you need these skills to ace Senior Data Business Analyst in London
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!
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Craft a Tailored Cover Letter:For a full-time role at Big Red Recruitment, 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 Big Red Recruitment. 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 Big Red Recruitment
✨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 Big Red Recruitment!
✨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.