At a Glance
- Tasks: Lead data projects, deliver insights, and support clients with technical expertise.
- Company: Join a dynamic tech company focused on data-driven solutions.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on social impact and client success.
- Why this job: Make an impact by transforming data into actionable insights for clients.
- Qualifications: 4+ years in data analytics, strong skills in Python, SQL, and data visualisation.
The predicted salary is between 63000 - 77000 £ per year.
In this role you will work in the Data & Analytics Consulting team, a client‑facing function responsible for the technical configuration and deployment of the OneView platform. You’ll work directly with our clients to deliver seamless software implementation, data extraction, data engineering, data science, product configuration and data visualisation. As a multi‑skilled technical professional, you’ll be capable of independently managing all of these technical aspects of client deployment, as well as supporting the client through the process. You’ll collaborate with Business Consultants, who oversee the non‑technical elements of delivery, as well as other key teams including Information Governance (privacy and security), Platform Delivery (core product development) and Quality Assurance (testing and validation).
Key Responsibilities
- Technical delivery
- Data extraction - Support the client’s technical team to install IG Bridge, adapt scripts, address quality issues, ultimately leading to clean data extraction.
- Data science - Configure existing predictive models to meet the client’s needs, undertake technical scoping for new/iterated predictive models, apply descriptive analytics techniques to extract meaningful insight from client data, build proxy predictive models to demonstrate potential value early on.
- Cohort building - Build preventative cohorts, test and adapt these with the client to optimise accuracy & efficacy.
- Dashboards - Design and build/adapt dashboards to meet the client’s needs and tell them what they need to know in a clear, intuitive way.
- Platform evolution - Integrating innovations and evolutions from your clients into the core platform for other clients to benefit from.
- Project management - Scope and project manage all technical aspects of deployment to a client.
- Problem solving and storytelling – Use your technical and analytical skills alongside your deep client understanding, technical expertise and market knowledge to extract interesting key insights from the client data and create compelling stories.
- Communication and stakeholder management – Communicate the technical aspects of delivery to the client simply and clearly, enabling the deployment to be delivered rapidly and smoothly.
- Benefits tracking – Understand what metrics matter to clients and how our platform delivers financial value to them. Build tracking tools and engage the client on them.
- Client upskilling – Support client counterparts in their technical knowledge and understanding, helping them take on a stewardship function & future configuration.
- Collaboration – Partner with the Business Consulting team to deliver client projects.
Skills, Knowledge & Expertise
We’d love to hear from you if you have:
- 4+ years’ experience across data and analytics, including data engineering, data science and data visualisation.
- Proficiency in Python, SQL and R for data manipulation and querying.
- Familiarity with relational databases such as SQL Server, Oracle.
- Understanding of various data formats, including CSV, JSON and XML.
- Experience with cloud platforms, particularly Azure or AWS.
- Strong storytelling and data visualisation skills, including scoping, designing and delivering engaging client‑facing insights using PowerPoint and sustainable dashboards using Power BI and Tableau.
- Experience with QA processes, including unit, regression and integration testing, and producing high‑quality analytical code that is traceable and repeatable.
- Knowledge and experience of machine learning techniques, including supervised ML, unsupervised ML and LLMs.
- Experience with deployment tools and processes such as Azure Data Factory (ADF), Azure ML and batch processing.
- Experience using DevOps or equivalent agile development environments.
- 4+ years’ experience leading clients through complex technical projects – you know how to navigate challenges, keep things on track, hit deadlines, communicate progress and deliver results.
- Sharp analytical skills – you love digging into data, solving problems and turning insights into action. You’re skilled in statistical analysis, regression, correlation analysis and exploratory data analysis (EDA).
- Exceptional communication and stakeholder management skills – you can influence at all levels and translate technical concepts into business value.
- Strong understanding of technology project development and delivery, ideally within a high‑growth tech company.
- A passion for social impact – you’re excited about what we’re doing and driven to help Xantura succeed.
Bonus Points if you have:
- Experience working with the public sector (local or central government) or as a vendor/consultant to public sector clients.
- Familiarity with privacy, security, and information governance in data projects.
Senior Data & Analytics Consultant in London employer: Xantura
Xantura is an exceptional employer, offering a dynamic work environment in London where innovation meets public sector impact. As a Director of Platform, you will not only lead the strategic evolution of the OneView platform but also enjoy a flexible work culture that prioritises employee well-being and professional growth. With competitive salaries, comprehensive benefits, and a mission-driven focus on solving societal challenges, Xantura provides a rewarding opportunity for those looking to make a meaningful difference.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Analytics Consultant in London
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We think you need these skills to ace Senior Data & Analytics Consultant in London
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 Xantura, 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 Xantura. 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 Xantura
✨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
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✨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.
