At a Glance
- Tasks: Gather and analyse data requirements for a new enterprise data warehouse.
- Company: Join a dynamic team focused on innovative data solutions.
- Benefits: Competitive pay, flexible working hours, and valuable experience.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact by shaping data strategies for business success.
- Qualifications: Strong analytical skills and experience in data reporting.
The predicted salary is between 30000 - 40000 € per year.
We are seeking a Business Change Analyst to support the delivery of a new enterprise data warehouse solution. The role will focus on gathering and documenting incoming data requirements, analysing business reporting needs, and ensuring alignment between business stakeholders, data teams, and technology delivery teams.
The successful candidate will play a key role in translating business requirements into functional data and reporting specifications to support strategic decision-making and operational reporting.
Key Responsibilities- Engage with business stakeholders to gather, analyse, and document data requirements for the new data warehouse.
- Identify and define source system data inputs, transformations, business rules, and data quality requirements.
- Analyse current and future-state reporting requirements across departments.
- Produce functional specifications, process maps, data mappings, and reporting requirement documents.
- Work closely with Data Engineers, BI Developers, Architects, and Project Managers to ensure requirements are understood and delivered accurately.
- Support the design and validation of reporting outputs, dashboards, and KPIs.
- Facilitate workshops, stakeholder interviews, and requirement review sessions.
- Assist with data validation, user acceptance testing (UAT), and change management activities.
- Ensure traceability between business requirements, data models, and reporting deliverables.
- Identify risks, gaps, and dependencies related to data and reporting processes.
Data analyst in Cambridge employer: Randstad Delivery
At Randstad Business Support, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Business Change Analyst, you will have the opportunity to engage with diverse stakeholders and contribute to impactful projects within a supportive environment that prioritises professional growth and development. Located in a vibrant area, we offer flexible working arrangements and a commitment to work-life balance, making us an excellent employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data analyst in Cambridge
✨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 Business Change Analyst role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your data analysis skills. Be ready to discuss how you've gathered and documented data requirements in the past, and think of examples where you've worked closely with stakeholders to deliver successful projects.
✨Tip Number 3
Showcase your analytical mindset! During interviews, highlight your ability to translate complex business needs into functional specifications. Use specific examples to demonstrate how you've tackled similar challenges in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that you won't find elsewhere. Plus, it shows your commitment to joining our team and makes it easier for us to track your application.
We think you need these skills to ace Data analyst in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Business Change Analyst. Highlight your experience with data requirements, reporting needs, 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 this role and how your background makes you a perfect fit. Don’t forget to mention your experience in engaging with stakeholders and translating business needs into data specifications.
Showcase Your Analytical Skills:In your application, be sure to showcase your analytical skills. Provide examples of how you've gathered and documented data requirements in the past. We love seeing concrete examples that demonstrate your ability to analyse and solve problems!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Randstad Delivery
✨Know Your Data Inside Out
Make sure you brush up on your data analysis skills and understand the specifics of data warehousing. Be ready to discuss how you've gathered and documented data requirements in the past, as well as any tools or methodologies you've used.
✨Engage with Stakeholders
Prepare to talk about your experience working with business stakeholders. Think of examples where you successfully gathered and analysed their needs, and how you translated those into functional specifications. This will show your ability to bridge the gap between technical teams and business users.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've identified risks, gaps, and dependencies in previous projects. Share specific instances where you facilitated workshops or stakeholder interviews to resolve issues, demonstrating your proactive approach to problem-solving.
✨Familiarise Yourself with Reporting Tools
Since the role involves producing reporting outputs and dashboards, make sure you know the reporting tools commonly used in the industry. If you have experience with BI tools, be prepared to discuss how you've used them to support strategic decision-making.
