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- Tasks: Lead data analytics projects and develop innovative methodologies for global clients.
- Company: Ethical consultancy focused on transformative change in complex environments.
- Benefits: Competitive salary, opportunities for growth, and impactful work.
- Why this job: Shape social change globally while working with cutting-edge data solutions.
- Qualifications: 10+ years in data analytics consultancy and strong leadership skills.
- Other info: Join a dynamic team dedicated to making a difference worldwide.
The predicted salary is between 60000 - 82500 £ per year.
Salary £60,000 - £82,500 | DOE | London
Working with a leading ethical consultancy operating in complex global environments, helping clients navigate fragile settings through trust, transformative change, and ten end-to-end services spanning the full programme and project cycle.
We are seeking a Data Analytics Lead to provide technical expertise, integrate analytics across programmes, and deliver standalone data-science and software projects worldwide. The role also supports organisational growth through project delivery, business development, and knowledge-sharing, collaborating closely with leadership to design projects and build strategic partnerships.
Key Responsibilities:- Lead Data Analytics (DA) bids, with particular focus on Monitoring, Evaluation, and Learning (MEL), for clients including Foreign, Commonwealth and Development Office (FCDO) and UK government partners.
- Develop innovative methodologies to address national security, humanitarian assistance, climate security, and conflict fragility.
- Engage clients, partners, and internal stakeholders to showcase DA capabilities and promote best practices.
- Provide technical and commercial oversight of projects, ensuring timely delivery, adherence to budgets, and measurable DA outcomes.
- Translate complex data methods for non-technical audiences, managing consortium relationships effectively.
- Drive consistency in DA integration across MEL and Research, Evidence, and Analysis (REA) proposals.
- 10+ years in international DA consultancy, with experience supporting UK and US government clients.
- Proven leadership in dashboards, data science products, and software solutions.
- Expertise across the research cycle: design, instrument development, sampling, and data collection.
- Strong quality control, programming, and data engineering skills, including Microsoft Azure.
- Broad understanding of machine learning and AI approaches.
- Exceptional communication skills with experience producing user-focused reports and advising non-technical clients.
- Familiarity with MEL and REA contracts.
This is a rare opportunity to join a business shaping social change globally. Interested candidates should contact.
Principal Expert – Data in London employer: Just IT
Contact Detail:
Just IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Expert – Data in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analytics field and let them know you're on the hunt for a role. Attend industry events or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data analytics. Be ready to discuss how you've tackled complex projects and how you can bring value to their team.
✨Tip Number 3
Showcase your work! Create a portfolio that highlights your best data science projects, dashboards, and reports. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, you'll be part of a community that values ethical consultancy and transformative change.
We think you need these skills to ace Principal Expert – Data in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Data Analytics Lead. Highlight your experience in international consultancy and any relevant projects you've led, especially those involving UK and US government clients.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've developed innovative methodologies or engaged with clients in complex environments.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise! Mention your experience with dashboards, data science products, and any programming skills, especially with Microsoft Azure and machine learning.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Just IT
✨Know Your Data Inside Out
As a Principal Expert in Data, you’ll need to demonstrate your deep understanding of data analytics. Brush up on your knowledge of methodologies related to Monitoring, Evaluation, and Learning (MEL) and be ready to discuss how you've applied these in past projects.
✨Showcase Your Leadership Skills
This role requires strong leadership in data science products and software solutions. Prepare examples of how you've led teams or projects, particularly in complex environments. Highlight your ability to engage clients and stakeholders effectively.
✨Communicate Clearly with Non-Technical Audiences
You’ll often need to translate complex data methods for non-technical clients. Practice explaining your work in simple terms, perhaps by using analogies or visuals. This will show your exceptional communication skills and your ability to make data accessible.
✨Demonstrate Your Innovative Thinking
The consultancy is looking for someone who can develop innovative methodologies. Think of examples where you've tackled challenges creatively, especially in areas like national security or climate security. Be prepared to discuss your thought process and the impact of your innovations.
