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- Tasks: Lead enterprise-scale analytics programs and drive cloud data migrations.
- Company: Join a forward-thinking company focused on data-driven transformation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Make a significant impact by shaping data strategies for global clients.
- Qualifications: 12+ years in data strategy, analytics, and engineering with strong leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking a Senior Data & Analytics Consultant with 12+ years of experience across Data Strategy, Analytics, Visualization, and Data Engineering. The role involves leading enterprise-scale analytics programs, managing Reporting as a Service, driving cloud data migrations, and delivering business-aligned insights using modern analytics platforms. The candidate will play a key role in building Data & Analytics Centers of Excellence, defining data governance frameworks, and enabling digital transformation initiatives.
Key Responsibilities
- Data & Analytics Leadership: Lead enterprise reporting and analytics initiatives, managing large-scale visualization requirements for global clients (e.g., Oil & Gas, IT Services). Drive Reporting as a Service engagements, ensuring scalable, reusable, and cost-effective reporting solutions. Establish and scale Data & Analytics Centers of Excellence (CoE), including governance, standards, and best practices.
- Data Engineering & Platform Modernization: Lead BI platform migrations (e.g., Tableau to Power BI, SAP BO to Power BI). Design and implement ETL pipelines and optimized enterprise data models. Manage cloud data modernization programs, including source migrations (e.g., Amazon Redshift to Databricks).
- Visualization & Analytics Solutions: Architect and deliver Power BI–based analytics solutions leveraging reusable semantic models. Enable self-service analytics while maintaining enterprise governance and performance standards.
- Product & IT Service Analytics: Act as Product Manager for cloud-based analytics solutions integrated with ServiceNow. Lead IT analytics and reporting initiatives supporting IT Service Management (ITSM) functions. Drive continuous improvement across Configuration, Knowledge, and Software Asset Management processes.
- Process Excellence & Transformation: Lead business process re-engineering (BPR) and ISO 20000 / ITIL-aligned process transformation programs. Deliver measurable cost savings, efficiency gains, and service quality improvements through analytics-driven insights.
- Stakeholder & Engagement Management: Serve as a trusted advisor to senior stakeholders and business leaders. Lead cross-functional teams across data, platform, and business functions. Support pre-sales, solutioning, and new analytics pursuits.
Required Skills & Expertise
- Technical Skills: Data Analytics & Visualization, Data Engineering & ETL Design, Microsoft Power BI, Microsoft Fabric Azure, Databricks, Python, ServiceNow Analytics, Cloud Data Platforms & BI Modernization, Process & Frameworks, IT Service Management (ITSM), ITIL 4, ISO 20000, PRINCE2, Data Governance & Enterprise Data Strategy.
- Leadership & Functional Skills: Program & Project Management, Product Management, Data Strategy & Digital Transformation, Stakeholder & Client Management.
Senior Data Consultant in City of London employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Consultant in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work in data strategy, analytics, and visualisation. Use platforms like GitHub or personal websites to display your projects. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to data governance and analytics leadership. Think about how you've driven cloud migrations or led cross-functional teams. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team at StudySmarter.
We think you need these skills to ace Senior Data Consultant in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Consultant role. Highlight your experience in data strategy, analytics, and cloud migrations. We want to see how your skills align with our needs!
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use metrics to demonstrate how you’ve driven successful analytics programs or improved processes. We love numbers that tell a story!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about data and how you can contribute to our Data & Analytics Centers of Excellence. Let us know what excites you about this role!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at HCLTech
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data analytics, especially around Power BI, Azure, and Databricks. Brush up on your experience with ETL design and cloud data migrations, as these will likely come up during the interview.
✨Showcase Your Leadership Skills
Prepare to discuss your experience leading enterprise-scale analytics programs and managing cross-functional teams. Think of specific examples where you’ve driven successful outcomes and how you’ve acted as a trusted advisor to senior stakeholders.
✨Demonstrate Your Problem-Solving Abilities
Be ready to tackle hypothetical scenarios related to data governance frameworks or business process re-engineering. Show how you approach challenges and deliver measurable improvements through analytics-driven insights.
✨Engage with Real-World Examples
Use case studies from your past work to illustrate your expertise in delivering business-aligned insights. Discuss how you’ve enabled self-service analytics while maintaining governance standards, and be prepared to talk about your role in building Data & Analytics Centres of Excellence.