Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science projects, turning ideas into impactful solutions for clients.
- Company: Join a forward-thinking consultancy at the forefront of digital transformation.
- Benefits: Competitive salary up to £100,000 plus benefits and career growth opportunities.
- Why this job: Make a real impact by harnessing data to drive innovation and business success.
- Qualifications: Strong background in AI, ML, and consulting experience required.
- Other info: Collaborative environment with opportunities to mentor and lead teams.
The predicted salary is between 72000 - 84000 £ per year.
We are seeking a Principal Data Analyst with deep leadership experience across analytics and business intelligence to lead analytical delivery at scale and shape the organisation’s analytics strategy.
This role combines strategic ownership, technical credibility, and commercial leadership . You will oversee analytics delivery across multiple complex client programmes, act as a trusted advisor to senior stakeholders, and play a key role in driving growth through client engagement and business development.
The successful candidate will balance hands-on analytical expertise with senior leadership responsibility, helping to build a world-class analytics capability while ensuring consistently high standards of delivery and value creation.
Core Responsibilities
Delivery & Strategy
- Lead and oversee analytics delivery across multiple, high-value client engagements simultaneously.
- Define and execute an analytics strategy aligned to organisational objectives and market opportunities.
- Set standards, methodologies, and best practices for analytics and business intelligence delivery.
- Build and maintain strong senior client relationships, acting as a trusted advisor on data-driven decision making.
- Drive commercial growth through client engagement, proposal leadership, and capability demonstrations.
- Contribute to pipeline development, account growth, and the evolution of analytics offerings.
Capability & Team Leadership
- Lead the recruitment, development, and performance management of analytics professionals.
- Foster a high-performance culture focused on quality, innovation, and continuous improvement.
- Shape the future direction of the analytics function, including AI-enabled BI, advanced analytics, and emerging technologies.
Thought Leadership & Market Presence
- Represent the organisation at industry events and contribute to external thought leadership in analytics and data visualisation.
- Stay ahead of market trends and emerging technologies, translating them into practical, differentiated client solutions.
Technical Focus
Core Technologies
- Power BI (expert level, including governance and enterprise deployment)
- DAX (expert)
- Databricks
Strategic & Emerging Capabilities
- Microsoft Fabric
- AI-enhanced analytics and BI
- Enterprise-scale BI and data architecture
- Multi-cloud analytics strategies
Leadership & Governance
- Analytics governance frameworks
- Solution and data architecture oversight
- Technology roadmapping and platform strategy
- Vendor and partner management
What You’ll Bring
- Extensive professional experience in data analytics, with significant senior leadership responsibility .
- Proven track record of leading analytics teams and delivering complex, multi-stream programmes in consulting or enterprise environments.
- Strong commercial acumen, including experience in business development, client leadership, and revenue or P&L accountability.
- Deep expertise in business intelligence and analytics platforms, particularly within the Microsoft data ecosystem.
- Exceptional stakeholder management skills, with the ability to influence and advise at C-suite and executive level .
- Strategic mindset paired with hands-on delivery experience and strong technical credibility.
- Demonstrated ability to build, mentor, and scale high-performing analytics teams.
- A leadership style grounded in integrity, accountability, adaptability, and collaborative delivery.
#J-18808-Ljbffr
Data Consultant employer: 83zero
Contact Detail:
83zero Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Consultant
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data science field. Attend meetups, webinars, or industry events to meet potential employers and showcase your skills. Remember, it’s all about who you know!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your best projects and achievements in machine learning and data modelling. This will give you an edge when chatting with potential employers and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by practising common data science scenarios. Be ready to discuss how you've tackled real-world problems using AI and ML techniques. We want to see your thought process and how you can add value to our clients!
✨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 and eager to join our team at StudySmarter!
We think you need these skills to ace Data Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Consultant. Highlight your experience with AI, ML, and any consulting work you've done. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can help our clients unlock value from their data. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any cool data science projects, make sure to mention them! Whether it's a proof of concept or a full implementation, we love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at 83zero
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning, deep learning, and large language models. Be ready to discuss specific projects where you've applied these techniques, as well as the outcomes. This shows you not only understand the theory but can also implement it effectively.
✨Show Off Your Consulting Skills
Prepare examples of how you've engaged with clients in the past. Think about times when you helped them define their digital vision or translated complex data science concepts into actionable insights. This will demonstrate your ability to act as a trusted advisor.
✨Be Ready for Technical Questions
Expect some tough technical questions that test your mathematical reasoning and estimation skills. Brush up on your statistics and data modelling fundamentals, and be prepared to explain your thought process clearly and confidently.
✨Demonstrate Your Leadership Qualities
Since this role involves mentoring junior team members, think of examples where you've led a project or guided others. Highlight your ability to manage stakeholder relationships and ensure delivery excellence, as this is crucial for success in a client-facing environment.
