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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 36000 - 60000 £ 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.
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 Fareham employer: Institute of Communication
Contact Detail:
Institute of Communication Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Business Analyst in Fareham
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Data Business Analyst role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Get your hands dirty with some real-world projects. Whether it's through internships, freelance gigs, or personal projects, showcasing your ability to handle data analysis and requirements gathering will make you stand out. Plus, it gives you something solid to talk about in interviews!
✨Tip Number 3
Prepare for those interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've translated business needs into functional specifications and how you’ve collaborated with teams. Practice makes perfect, so run through common interview questions with a friend.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Tailor your approach to highlight your data background and experience with Agile frameworks, and show us why you're the perfect fit for the role.
We think you need these skills to ace Data Business Analyst in Fareham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored 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 your background makes you a great fit for our team. Don't forget to mention specific experiences that relate to 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 projects where you engaged with stakeholders.
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 to join the StudySmarter family!
How to prepare for a job interview at Institute of Communication
✨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 run workshops or interviews to elicit business needs. Be ready to explain how you translated those needs into functional specifications, as this is crucial for the role.
✨Showcase Your Communication Skills
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex ideas in simple terms. Bring examples of how you've engaged and inspired teams in the past, as strong communication is key to building relationships and ensuring project success.
✨Familiarise Yourself with Agile Methodologies
As the role involves working within an Agile framework, make sure you understand Agile principles and practices. Be prepared to discuss how you've contributed to Agile projects in the past, including your experience with product backlogs and managing scope changes during implementation.
