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- Tasks: Lead advanced analytics projects and deliver cloud-based data solutions for major UK organisations.
- Company: Dynamic consultancy with a focus on innovative data engineering and analytics.
- Benefits: Competitive salary, bonus, remote work, and professional development opportunities.
- Other info: Remote-first role with occasional travel to London and excellent career growth potential.
- Why this job: Make a real impact by solving complex business challenges with cutting-edge analytics.
- Qualifications: Experience in cloud-based analytics, strong consulting background, and leadership skills.
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 Kent employer: Talent Locker
Contact Detail:
Talent Locker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Consultant in Kent
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field and let them know you're on the hunt for a Lead Analytics Consultant role. 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 analytics projects, dashboards, and data solutions. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios and case studies. Be ready to discuss how you've tackled complex business challenges in the past and how you can apply that experience to their needs.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and get noticed. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Lead Analytics Consultant in Kent
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 hold back on showcasing 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, it’s super easy – just a few clicks and you’re done!
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 analytics engagements, showcasing your hands-on experience with tools like Python, SQL, and Azure Data Factory.
✨Showcase Your Consulting Skills
Since this role involves a lot of client interaction, prepare examples that highlight your experience in a consulting environment. Think about times when you've acted as a trusted advisor, and be ready to explain how you turned complex challenges into actionable solutions for clients.
✨Demonstrate Leadership and Teamwork
As a Lead Analytics Consultant, you'll need to lead teams effectively. Prepare to discuss your leadership style and provide examples of how you've mentored team members or managed project delivery. Highlight any successful outcomes that resulted from your guidance.
✨Prepare for Technical Questions
Expect to face technical questions related to data modelling, ETL/ELT processes, and data visualisation tools like Power BI. Brush up on these topics and be ready to demonstrate your expertise through practical examples or even a mini case study during the interview.