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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 Crawley employer: Talent Locker
Contact Detail:
Talent Locker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Consultant in Crawley
✨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. Practice explaining your thought process and how you've tackled complex business challenges in the past. Confidence is key!
✨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 Crawley
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 Stuff
Make sure you brush up on your technical skills, especially in Python, SQL, and data integration tools like Azure Data Factory. Be ready to discuss your hands-on experience with cloud-based analytics solutions and how you've tackled complex business challenges in the past.
✨Showcase Your Leadership Skills
Since this role involves leading teams and managing project delivery, be prepared to share examples of how you've successfully led analytics projects. Highlight your mentoring experiences and how you've supported team members to achieve their goals.
✨Understand the Client's Needs
Research the company and its clients beforehand. Think about how you can act as a trusted advisor and provide real business value through your analytics solutions. Prepare to discuss how you've collaborated with stakeholders in previous roles.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of specific situations where you've designed scalable data platforms or built intuitive dashboards. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.