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For Companies At a Glance
- Tasks: Lead analytics projects, engage clients, and deliver data-driven strategies.
- Company: Join a dynamic scale-up data consultancy with growth potential.
- Benefits: Enjoy a competitive salary up to £100,000 plus bonuses.
- Why this job: Be at the forefront of AI and analytics, shaping impactful solutions.
- Qualifications: Strong experience in analytics strategy and consulting required.
- Other info: Fully remote role based in the UK with mentorship opportunities.
The predicted salary is between 72000 - 84000 £ per year.
Lead Analytics Consultant
Fully Remote in the UK
£90,000-£100,000 + Bonus
The Company
Great opportunity to join a scale-up Data consultancy as their Lead Analytics Consultant with a view to being their Practice Lead in the medium-term!
The Role
As the Lead Analytics Consultant, your role will balance across Analytics strategy, client engagement, and hands-on delivery. You’ll be the bridge between business priorities and technical solutions, guiding clients from defining their goals to implementing data-driven strategies that deliver measurable results. You’ll work across the full data spectrum, so experience consulting across Analytics, Data Science & Engineering is what you’ll bring to the table
What You’ll Do:
- Lead end-to-end data and AI strategy projects, from scoping through delivery and adoption
- Run workshops with senior stakeholders to define priorities, metrics, and success criteria
- Translate business requirements into actionable analytics and technical solutions
- Identify where initiatives aren’t delivering value and redirect focus to higher-impact opportunities
- Oversee delivery teams to ensure quality and alignment with client goals
- Mentor and develop junior consultants, raising technical and consulting standards
- Support business development in second-stage client meetings, bringing the commercial insight needed to shape solutions
Your Skills & Experience
- Strong experience leading analytics and data strategy engagements, ideally with exposure to AI/ML
- Proven consulting and commercial acumen; you’ll be comfortable engaging with both technical teams and senior business leaders
- Hands-on delivery capability, paired with the ability to lead from a strategic perspective
- Passion for technology, AI, and innovation; not necessarily deep coding expertise, but the ability to see where emerging tech adds value
The Benefits
- Up to £100,000
- Bonus
How to Apply
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page
Lead Analytics Consultant employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Consultant
✨Tip Number 1
Network with professionals in the data consultancy field. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends in analytics and AI. This can help you gain insights into what companies like us are looking for in a Lead Analytics Consultant.
✨Tip Number 2
Showcase your hands-on experience with analytics tools and methodologies. Be prepared to discuss specific projects where you've successfully led analytics strategies or delivered impactful results. This will demonstrate your capability to bridge the gap between business needs and technical solutions.
✨Tip Number 3
Familiarise yourself with our company’s values and recent projects. Understanding our approach to data consultancy will allow you to tailor your discussions during interviews, showing how your skills align with our goals and how you can contribute to our success.
✨Tip Number 4
Prepare to discuss your mentoring experience. As a Lead Analytics Consultant, you'll be expected to guide junior consultants. Highlight any previous mentoring roles or experiences where you've helped others grow, as this is a key aspect of the position.
We think you need these skills to ace Lead Analytics Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics strategy, client engagement, and hands-on delivery. Use specific examples that demonstrate your ability to lead projects and mentor junior consultants.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and innovation. Explain how your background aligns with the role of Lead Analytics Consultant and how you can bridge business priorities with technical solutions.
Highlight Relevant Skills: Emphasise your experience with AI/ML and your consulting acumen. Mention any successful projects where you translated business requirements into actionable analytics solutions, as this will resonate with the company's needs.
Follow Application Instructions: Ensure you send your application through the specified channel. In this case, submit your CV to Adam Osborne at Harnham via the Apply link on the StudySmarter website, and double-check for any additional requirements.
How to prepare for a job interview at Harnham
✨Showcase Your Strategic Thinking
As a Lead Analytics Consultant, you'll need to demonstrate your ability to bridge business priorities with technical solutions. Prepare examples of past projects where you successfully aligned analytics strategies with business goals, highlighting your strategic thinking and problem-solving skills.
✨Engage with Stakeholders
Since the role involves running workshops with senior stakeholders, practice how you would engage them in discussions. Be ready to discuss how you would define priorities and success criteria, and think about questions you might ask to facilitate these conversations.
✨Demonstrate Hands-On Experience
While strategic oversight is key, hands-on delivery capability is also crucial. Be prepared to discuss specific tools and methodologies you've used in previous roles, and how they contributed to successful project outcomes. This will show your depth of knowledge and practical experience.
✨Highlight Your Mentorship Skills
Mentoring junior consultants is part of the role, so think about your past experiences in developing others. Prepare to share examples of how you've supported team members in their growth, and what techniques you used to raise technical and consulting standards within your teams.