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For Companies At a Glance
- Tasks: Collaborate with Data Product Managers to define and prioritise product backlogs.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make an impact by transforming business needs into actionable data solutions.
- Qualifications: Experience in data management and strong communication skills required.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 30000 - 50000 £ per year.
Main Purpose of the Role
As a Data Business Analyst, you will work closely with our Data Product Managers to help define and prioritise the Product Backlog. You will be involved in the planning and assignment of tasks while aligning to the timely delivery of agreed quality standards. You will be responsible for building project requirements, creating development-ready user stories supported by appropriate data analysis, and working closely with the wider delivery team to ensure effective implementation of data solutions. You will also be involved with system functional requirements, ensuring alignment between business needs and technical solutions. This includes translating business processes into functional specifications and collaborating with developers to ensure accurate implementation. Working as part of a Business Analysis competency to evolve and improve working practices and frameworks, you will take a technical/systems focus on various high-value projects and change initiatives. You will collaborate closely with Data Modellers, Data Architects, Data Engineers, and Quality Analysts within an Agile Development Framework.
Key Responsibilities
- Perform and oversee the full business requirements lifecycle, including elicitation, analysis, documentation, and management.
- Plan and run workshops, interviews, and prototyping sessions to elicit, clarify, and agree requirements.
- Identify and analyse systems and data used in the business to support requirements gathering.
- Undertake requirements engineering, ensuring specificity about the actions required and the resulting business benefit.
- Ensure requirements are complete, consistent, concise, unambiguous, and verifiable.
- Work with the Product Manager to define and prioritise product backlogs, ensuring alignment to stakeholder requirements and timelines.
- Provide suitable information to developers to build/configure products.
- Manage scope changes and requirements during implementation.
- Work closely with technical teams to ensure clear and aligned understanding of requirements.
- Ensure all appropriate documentation is completed in line with agreed ways of working.
Skills, Ability or Experience
Essential Experience
- Data background with experience across data disciplines such as Data Management, Data Architecture, Data Migration, Data Quality Management, and Information Governance.
- Experience with data ingestion processes and the ability to read and understand database schemas, including relationships between objects and key terminology.
- Knowledge of Data Architecture methods and tools, with an understanding of data modelling techniques (conceptual, logical, physical) and working knowledge of Business Intelligence concepts (reporting, querying software, data mining, OLAP, relational databases, cloud architecture).
- Experienced in requirements elicitation from various stakeholder groups, including 1-1s and workshops.
- Experience applying Use Cases, Process Maps, Data Flows, and Diagrams.
Essential Soft Skills
- Ability to distil complex ideas into concise descriptions easily understood by technical and non-technical audiences.
- Excellent communication skills, able to confidently engage and inspire stakeholders at all levels, generating commitment and engagement.
- Collaborative working style with strong relationship-building and stakeholder management skills.
- Enthusiasm for learning, experimenting, sharing knowledge, and upskilling others.
Desirable Skills
- Experience with data visualisation techniques and principles.
- Strong understanding of system functional requirements, including documenting user interactions, system responses, and integration points.
- Experience working with system workflows, APIs, and functional specifications.
- Experience working with marketing technology platforms, ideally Adobe Campaign or similar (e.g. Salesforce Marketing Cloud, Oracle Eloqua).
Data Business Analyst in Southampton employer: Fbi &Tmt
Contact Detail:
Fbi &Tmt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Business Analyst in Southampton
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through a portfolio! Create a project that highlights your data analysis abilities, whether it’s a case study or a personal project. This gives potential employers a tangible example of what you can do.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Business Analysts like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Business Analyst in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Business Analyst role. Highlight your experience with data management, architecture, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our team. Be sure to mention specific experiences that relate to the responsibilities outlined in the job description.
Showcase Your Communication Skills: As a Data Business Analyst, you'll need to communicate complex ideas clearly. In your application, demonstrate your ability to distil information into concise descriptions. This could be through examples of past work or even how you structure your application.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Fbi &Tmt
✨Know Your Data Inside Out
Make sure you brush up on your data knowledge before the interview. Understand key concepts like data management, architecture, and quality management. Being able to discuss these topics confidently will show that you're not just familiar with the terminology but can also apply it in real-world scenarios.
✨Master Requirements Elicitation
Prepare to demonstrate your skills in requirements gathering. Think of examples where you've successfully elicited requirements from stakeholders through workshops or interviews. Be ready to explain your approach and how you ensured clarity and alignment with business needs.
✨Showcase Your Communication Skills
As a Data Business Analyst, you'll need to communicate complex ideas clearly. Practice explaining technical concepts in simple terms. You might even want to prepare a few examples of how you've engaged with both technical and non-technical audiences in the past.
✨Familiarise Yourself with Agile Methodologies
Since you'll be working within an Agile framework, it's crucial to understand Agile principles and practices. Be prepared to discuss how you've applied Agile methodologies in previous roles, particularly in relation to managing product backlogs and collaborating with cross-functional teams.
