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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: Dynamic role with a chance to innovate in a collaborative environment.
- Why this job: Make a significant impact by shaping data strategies for global clients.
- Qualifications: 12+ years in data strategy, analytics, and strong leadership skills.
The predicted salary is between 80000 - 100000 ÂŁ 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
- 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 Slough employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Consultant in Slough
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving data visualisation and analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for common interview questions but also be ready to discuss specific scenarios where you’ve led analytics initiatives or managed data migrations. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your achievements.
✨Apply Through Our Website
We encourage you to apply directly through our website! It not only shows your interest but also helps us track your application better. Plus, you might find additional roles that fit your skills perfectly!
We think you need these skills to ace Senior Data Consultant in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Consultant role. Highlight your 12+ years of experience in data strategy, analytics, and engineering. Use keywords from the job description to show we’re on the same page!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share specific examples of how you've led enterprise-scale analytics programs or managed cloud data migrations. Let us see your passion for data and how you can drive transformation.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills! Mention your experience with Power BI, Azure, and any other relevant tools. We want to know how you can contribute to our Data & Analytics Centers of Excellence.
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. We can’t wait to hear from you!
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 and cloud platforms like Azure and Databricks. Brush up on your experience with ETL design and data governance frameworks, as these will likely come up during the interview.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience leading large-scale analytics initiatives and managing cross-functional teams. Be ready to discuss how you've driven Reporting as a Service engagements and established Data & Analytics Centres of Excellence in previous roles.
✨Demonstrate Problem-Solving Abilities
Think of specific challenges you've faced in data engineering or analytics projects and how you overcame them. This could include anything from BI platform migrations to process re-engineering. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Engage with Stakeholders
Be prepared to talk about how you’ve acted as a trusted advisor to senior stakeholders. Discuss your approach to stakeholder management and how you ensure alignment between business needs and data solutions. This will show your ability to bridge the gap between technical and non-technical teams.