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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 London travel.
- 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 client-facing skills required.
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 Gloucester employer: Talent Locker
Contact Detail:
Talent Locker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Consultant in Gloucester
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a great role.
✨Tip Number 2
Showcase your skills! Create a portfolio of your best analytics projects, especially those involving cloud-based solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and consulting experience. Be ready to discuss how you've tackled complex business challenges and delivered value through data solutions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Analytics Consultant in Gloucester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Analytics Consultant role. Highlight your experience in analytics, data engineering, and any client-facing roles you've had. We want to see how your skills match 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 the perfect fit for this role. Share specific examples of your past work that align with our needs, especially around leading teams and delivering cloud-based solutions.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise in Python, SQL, and any data integration tools you’ve used. We love seeing hands-on experience, so make sure to mention any relevant projects or achievements that demonstrate your capabilities.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Plus, it shows you’re serious about joining our team!
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 you've worked on, especially those involving Python, SQL, and data integration tools like Azure Data Factory.
✨Showcase Your Leadership Skills
Since this role involves leading teams, prepare examples that highlight your leadership experience. Think about times when you mentored team members or successfully managed project delivery, and be ready to share these stories during the interview.
✨Understand the Client's Needs
Research the company and its clients before the interview. Be prepared to discuss how you would approach their specific business challenges and how your solutions can deliver real value. This shows that you’re not just technically skilled but also client-focused.
✨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 with practical examples or even a mini case study.