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For Companies At a Glance
- Tasks: Shape and deliver data solutions that drive business strategy and optimise processes.
- Company: Join a global leader in digital transformation with a collaborative culture.
- Benefits: Competitive salary, flexible benefits, and opportunities for professional growth.
- Why this job: Make a real impact by turning data into valuable insights for businesses.
- Qualifications: Strong business analysis skills and experience in data management principles.
- Other info: Dynamic team environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Location: UK - Hatfield | Job-ID: 215349 | Contract type: Standard | Business Unit: Data Management/Reporting
Life on the team
Hatfield based (with min of 2 days in the office). Competitive basic salary + Core & flexible benefits. Join Data Management within our Data & Analytics function. We operate across four pillars: Data Management, Data Strategy, Data Governance and Data Delivery. We work in agile, delivering in sprints with modern software engineering and DevOps practices to ship reliable data products at pace. The team owns the Group Data Warehouse, a global data platform that supports Computacenter’s combined reporting requirements across the world. In Data Management, you will turn Data Demand into prioritised backlog requirements and partner with business units to deliver maximum customer value from data. If you enjoy practical delivery, measurable outcomes and helping teams make better decisions with trusted data, you will fit right in.
What you’ll do
As a Senior Data Consultant, you will play a key role in shaping and delivering data solutions that support business strategy. You will lead the definition of complex data requirements, guide prioritisation across the backlog, and mentor others within the team. Your focus will be on aligning data initiatives with business value, driving collaboration, and ensuring clear communication throughout delivery. You will:
- Lead requirements definition (30%): Work with senior stakeholders, SMEs and Data Stewards to define and document complex, high-level business and technical data requirements.
- Guide backlog prioritisation (10%): Take ownership of the product backlog, ensuring priorities reflect both near-term needs and long-term strategic goals.
- Business Process Integration (20%): Analyse and map complex business processes to identify opportunities for optimisation and efficiency.
- Uphold documentation standards (10%): Ensure documentation is clear, consistent, and fit for purpose across all stages of the delivery lifecycle. Champion the use of standardised reporting and artefacts that support governance, transparency, and traceability.
- Run effective refinement sessions (10%): Lead backlog refinement sessions with delivery teams to ensure user stories are actionable, well understood, and linked to measurable outcomes. Promote business process thinking to ensure initiatives support operational improvement as well as data maturity.
- Promote collaboration and mentorship (10%): Act as a senior member of the Data Competency Centre, supporting collaboration between business and technical teams.
- Manage risk and stakeholders (10%): Proactively identify, communicate and manage risks across the data pipeline.
What you’ll need
Essential skills:
- In-depth business analysis– eliciting, documenting and validating requirements and business processes.
- Proven experience with business and operating models, for example GIS operating model.
- Familiarity with industry frameworks and best-practice processes, for example ITIL.
- Strong stakeholder engagement and facilitation skills, including workshops and process mapping.
- Thorough understanding of data management principles – data governance, data quality management and data security practices.
- Ability to translate business needs into clear, prioritised user stories for delivery teams.
About us
With over 20,000 employees across the globe, we work at the heart of digitisation, advising organisations on IT strategy, implementing the most appropriate technology, and helping our customers to source, transform and manage their technology infrastructure in over 70 countries. We deliver digital technology to some of the world’s greatest organisations, driving digital transformation, enabling people and their business.
Senior Consultant -Data & Analytics in Hatfield employer: Computacenter AG & Co. oHG
Contact Detail:
Computacenter AG & Co. oHG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant -Data & Analytics in Hatfield
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Consultant role.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data management and analytics. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your experience.
✨Tip Number 3
Showcase your expertise! Bring along examples of your previous work or case studies that highlight your skills in business analysis and stakeholder engagement. We want to see how you’ve made an impact in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Consultant -Data & Analytics in Hatfield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Consultant in Data & Analytics. Highlight your experience with business analysis, stakeholder engagement, and data management principles. 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 solutions and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Achievements: When detailing your past roles, focus on measurable outcomes and successes. Did you optimise a process or improve data quality? We love numbers and results, so make sure to include them to demonstrate your impact!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Computacenter AG & Co. oHG
✨Know Your Data Inside Out
As a Senior Consultant in Data & Analytics, it's crucial to have a solid grasp of data management principles. Brush up on your knowledge of data governance, quality management, and security practices. Be ready to discuss how you've applied these concepts in past roles, as this will show your depth of understanding.
✨Master Stakeholder Engagement
Given the importance of stakeholder engagement in this role, prepare examples of how you've successfully facilitated workshops or process mapping sessions. Highlight your ability to translate complex requirements into clear user stories, as this will demonstrate your communication skills and business acumen.
✨Showcase Your Agile Experience
Since the team operates in an agile environment, be prepared to discuss your experience with agile methodologies. Share specific instances where you've led backlog refinement sessions or collaborated with delivery teams to ensure user stories are actionable. This will illustrate your hands-on experience in delivering data solutions.
✨Emphasise Collaboration and Mentorship
As a senior member of the team, your ability to mentor others is key. Think of examples where you've supported collaboration between business and technical teams. Discuss how you've promoted best practices and helped others grow, as this will highlight your leadership qualities and commitment to team success.
