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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 Ipswich employer: Talent Locker
Contact Detail:
Talent Locker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Consultant in Ipswich
✨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 opportunities or can refer you directly.
✨Tip Number 2
Showcase your expertise! When you get the chance to chat with potential employers, be ready to discuss your past projects and how you've tackled complex analytics challenges. This is your time to shine and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios. Think about how you'd approach designing scalable data solutions or leading a team through a project. Practising these responses will help you feel more confident when it counts.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from talented individuals like you. Plus, it gives you a better chance of being noticed by our hiring team, so make sure to get your application in!
We think you need these skills to ace Lead Analytics Consultant in Ipswich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Analytics Consultant role. Highlight your experience with cloud-based analytics and data engineering solutions, as well as any client-facing consulting work you've done. 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 how you've led analytics projects or mentored team members. We love seeing your personality come through!
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise in Python, SQL, and data visualisation tools like Power BI. We’re looking for someone who can hit the ground running, so make sure we know about your hands-on experience with these technologies.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at StudySmarter!
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 past projects and how you've delivered cloud-based analytics solutions.
✨Showcase Your Leadership Skills
Since this role involves leading teams, be prepared to share examples of how you've successfully managed projects and mentored team members. Highlight your experience in a client-facing environment and how you've acted as a trusted advisor.
✨Understand the Business Value
Demonstrate your ability to turn complex business challenges into scalable data solutions. Be ready to discuss how your work has delivered real value to clients and how you collaborate with stakeholders to achieve outcomes.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities and how you handle challenges in analytics projects. Think of specific scenarios where you've had to architect robust data solutions or overcome obstacles in project delivery.