At a Glance
- Tasks: Lead analytics projects that shape business decisions and deliver impactful solutions.
- Company: Leading consulting company with a focus on innovative analytics.
- Benefits: Competitive salary, bonus, remote work, and excellent benefits.
- Other info: Opportunity for career growth in a dynamic and supportive environment.
- Why this job: Make a real impact in analytics while advancing your leadership skills.
- Qualifications: Experience in cloud-based analytics, strong Python and SQL skills, and team leadership.
The predicted salary is between 75000 - 105000 £ per year.
Permanent | Remote (UK) | Occasional London Travel
£75,000 - £105,000 + Bonus + Benefits
Ever wanted to lead analytics projects that actually shape business decisions, not just report on them? I am supporting a leading consulting company in the recruitment of a Lead Analytics Consultant to deliver high-impact analytics and BI solutions for major UK organisations. This is a hands-on leadership role combining technical delivery with client-facing consulting. You will play a key role in shaping solution design, leading end-to-end analytics engagements, and guiding delivery teams to ensure outcomes are robust, scalable, and commercially impactful. The role sits at the centre of delivery and client engagement, where you will translate complex business challenges into cloud-based data solutions and take ownership of how analytics capabilities are designed, built, and delivered across multiple engagements.
What you will be doing:
- Act as a trusted advisor to clients on analytics and data engineering best practice
- Lead end-to-end analytics engagements from discovery through to delivery
- Design and deliver scalable cloud-based data platforms and BI solutions
- Build and maintain Power BI dashboards and reporting solutions (or similar tools)
- Develop and oversee data models, ETL/ELT pipelines and transformations
- Architect robust, scalable solutions aligned to business requirements
- Work closely with stakeholders to translate complex problems into clear solutions
- Mentor and support team members and contribute to delivery excellence
What we are looking for:
- Strong experience delivering cloud-based analytics or data engineering solutions
- Background in a consulting or client-facing environment (preferred)
- Experience leading teams or managing end-to-end project delivery
- Advanced Python and SQL skills
- Experience with Azure Data Factory or similar data integration tools
- Exposure to modern data platforms such as Databricks or Microsoft Fabric
- Strong experience with data visualisation tools such as Power BI, Tableau or Qlik
- Strong understanding of data modelling, warehousing and ETL/ELT processes
- Excellent communication and stakeholder management skills
Nice to have:
- Exposure to AI, ML or data science initiatives
- Experience in large-scale enterprise or regulated environments
- Familiarity with Big Data technologies or distributed systems
This role is ideal for someone looking to step into a true leadership position within analytics delivery, combining technical depth with client influence. You will have the opportunity to work on high-impact UK programmes, shape solutions end-to-end, and progress into more senior leadership roles within a growing data function.
Lead Analytics Consultant employer: Talent Locker
Join a leading consulting company that values innovation and collaboration, offering a dynamic remote work environment with occasional travel to London. As a Lead Analytics Consultant, you will not only lead impactful analytics projects but also enjoy a culture that prioritises professional growth, mentorship, and the opportunity to shape data solutions for major UK organisations. With competitive compensation, bonuses, and a commitment to employee development, this role is perfect for those seeking meaningful and rewarding employment in the analytics field.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analytics Consultant
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Talent Locker!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Talent Locker.
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When you find a suitable opening like Lead Analytics Consultant at Talent Locker, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Analytics Consultant
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Talent Locker, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Talent Locker. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Talent Locker
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Talent Locker!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
