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- Tasks: Lead data projects, from extraction to visualisation, making insights accessible for clients.
- Company: Join Xantura, a forward-thinking company focused on social impact and innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real difference by transforming data into actionable insights for clients.
- Qualifications: Degree in a quantitative field and 4+ years in data analytics required.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
The predicted salary is between 36000 - 60000 £ per year.
In this role you will work in the Data & Analytics Consulting team, a client-facing function responsible for the technical end-to-end delivery of projects and deployment of the OneView platform. You will work closely with our clients and internal teams to deliver data extraction, data engineering, data science, platform configuration, and data visualisation. You will own technical components of deployments, delivering high-quality work on time and solving problems independently. You will also help optimise how we work, supporting our ability to scale.
You will 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- 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, apply descriptive analytics techniques to extract meaningful insight from client data, build simple proxy predictive models to demonstrate value early on.
- Cohort building - Build preventative cohorts, test and adapt these with the client to optimise accuracy & efficacy.
- Dashboards – Design, build and adapt dashboards to meet the client's needs and tell them what they need to know in a clear, intuitive way.
- Platform evolution – Feed innovations back into the core platform.
- Technical project work - Own and deliver the technical components of deployments, prioritise effectively, flag and resolve blockers early, and collaborate well across teams.
- Problem solving and storytelling - Use your analytical skills to extract meaningful insights from data, translate complex analysis into clear, actionable recommendations for clients.
- Communication and stakeholder support - Explain technical topics in an accessible way to help clients understand value and progress, support client upskilling by sharing knowledge and documentation, work closely with Business Consultants to deliver successful implementations and measure the impact, identify opportunities to improve how we deliver as a team and share best practices.
We'd love to hear from you if you have:
- A degree in a quantitative or technical field such as Data Science, Computer Science, Maths, Engineering etc.
- 4+ years' professional experience in data and analytics, including exposure to data engineering, data science and data visualisation.
- Proficiency in Python and SQL for data wrangling and analysis.
- Core data science skillset, with experience in machine learning techniques.
- Experience with relational databases (e.g., SQL Server or Oracle).
- Familiarity with tools like Power BI or Tableau to build clear, insightful dashboards.
- Understanding of core machine learning concepts and techniques.
- Experience writing clean, testable, traceable code using good QA practices.
- Experience delivering technical work to clients, with strong attention to detail and ability to manage your own deadlines.
- Strong analytical and problem-solving skills, with experience in techniques such as regression, correlation analysis, or EDA.
- Clear communication skills, both written and verbal. Able to explain technical work to non-technical audiences.
- A continuous improvement mindset, you look for opportunities to improve our tools, documentation, or ways of working.
- A passion for social impact – you're excited about what we're doing and driven to help Xantura succeed.
Apply directly via the link below.
Senior Data & Analytics Consultant in London employer: Xantura Limited
Contact Detail:
Xantura Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Analytics Consultant in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, dashboards, and any predictive models you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python, SQL, and data visualisation tools like Power BI or Tableau. Practice explaining complex concepts in simple terms!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Data & Analytics Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data & Analytics Consultant. Highlight your experience in data engineering, data science, and visualisation, and don’t forget to mention your proficiency in Python and SQL!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data and analytics, and how your skills can help us deliver high-quality work to our clients. Keep it engaging and relevant!
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing how you’ve used your analytical skills to extract insights and solve problems independently.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Xantura Limited
✨Know Your Data Inside Out
Make sure you brush up on your data extraction and analytics skills. Be prepared to discuss specific projects where you've used Python and SQL to wrangle data. Highlight any experience with predictive models or dashboard creation, as these are key components of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples that demonstrate your analytical thinking and problem-solving abilities. Think about times when you've faced challenges in data projects and how you overcame them. This will show your potential employer that you can handle the technical demands of the job.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with clients who may not have a technical background. Use examples from your past experiences to illustrate how you've successfully conveyed technical information.
✨Emphasise Collaboration and Continuous Improvement
Be ready to discuss how you've worked with cross-functional teams in the past. Highlight your ability to collaborate with Business Consultants and other stakeholders. Also, share any ideas you have for improving processes or tools, as this shows your commitment to optimising workflows.
