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- Tasks: Lead advanced analytics projects and deliver cloud-based data solutions for major UK organisations.
- Company: Dynamic analytics consultancy with a focus on innovation and client success.
- Benefits: Competitive salary, bonus, remote work, and ongoing professional development.
- Other info: Remote-first role with opportunities for career progression and occasional travel to London.
- Why this job: Make a real impact by solving complex business challenges with cutting-edge analytics.
- Qualifications: Experience in cloud-based analytics, strong leadership, and advanced skills in Python and SQL.
The predicted salary is between 75000 - 105000 £ per year.
Please make an application promptly if you are a good match for this role due to high levels of interest.
Permanent | Remote (UK) | Occasional London Travel
£75,000 - £105,000 + Bonus + Benefits
Are you an experienced analytics consultant ready to lead the delivery of advanced analytics and business intelligence solutions for major UK organisations? This role blends hands-on technical expertise with consulting leadership. You'll work closely with clients to turn complex business challenges into scalable, cloud-based data solutions, while leading teams and ensuring high-quality project delivery.
Responsibilities include:
- Act as a trusted advisor to clients on data engineering and advanced analytics best practices
- Lead end-to-end analytics engagements, from discovery and requirements through to delivery
- Design and implement scalable, cloud-based data platforms and BI solutions
- Build intuitive dashboards and reporting solutions (Power BI or similar)
- Develop and oversee data models, transformations, and ETL/ELT pipelines
- Architect robust, scalable data solutions aligned to business needs
- Collaborate with stakeholders to ensure outcomes deliver real business value
- Mentor and support team members, contributing to successful project execution
Skills and Experience:
- Proven experience delivering cloud-based analytics and data engineering solutions
- Strong background in a client-facing consulting environment (consultancy or SI preferred)
- Demonstrated experience leading teams or managing analytics project delivery
- Advanced skills in Python and SQL
- Hands-on experience with data integration tools (e.g. Azure Data Factory)
- Familiarity with modern data platforms (e.g. Microsoft Fabric, Databricks)
- Strong data visualisation experience (Power BI, Tableau, QlikView, etc.)
- Deep understanding of data modelling, warehousing, and ETL/ELT processes
- Exposure to Big Data, Data Science, AI, or Machine Learning is a plus
- Excellent communication, problem-solving, and stakeholder management skills
Additional:
- Must hold or be eligible for UK Security Clearance
- Remote-first working with occasional London travel
- Competitive salary, bonus, and benefits package
- Ongoing professional development and career progression opportunities
Lead Analytics Consultant in High Wycombe employer: Talent Locker
Contact Detail:
Talent Locker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Consultant in High Wycombe
✨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 analytics game. 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 cloud-based solutions or data visualisation. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Think about how you can demonstrate your leadership skills and technical expertise. Remember, it’s not just about what you know, but how you communicate it!
✨Apply Through Our Website
When you find a role that fits, 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 Lead Analytics Consultant in High Wycombe
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Analytics Consultant role. Highlight your experience in cloud-based analytics and data engineering, and don’t forget to showcase your client-facing skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past projects and how they relate to the responsibilities listed in the job description. We love a good story!
Show Off Your Technical Skills: Since this role requires advanced skills in Python, SQL, and data visualisation tools like Power BI, make sure to highlight these in your application. We’re looking for someone who can hit the ground running, so don’t be shy about your technical prowess!
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 out on any important updates. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Talent Locker
✨Know Your Analytics Inside Out
Make sure you brush up on your knowledge of cloud-based analytics and data engineering solutions. Be ready to discuss specific projects where you've led teams or delivered successful outcomes, as this will show your hands-on experience and technical expertise.
✨Showcase Your Client-Facing Skills
Since this role involves a lot of client interaction, prepare examples that highlight your ability to act as a trusted advisor. Think about times when you've turned complex challenges into actionable solutions for clients, and be ready to share those stories.
✨Demonstrate Leadership and Mentorship
As a Lead Analytics Consultant, you'll need to lead teams effectively. Prepare to discuss your leadership style and how you've mentored team members in the past. This will help convey your capability to manage project delivery and support others in their growth.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions, especially around Python, SQL, and data integration tools like Azure Data Factory. Brush up on your knowledge of modern data platforms and be prepared to explain how you've used them in previous roles.