Data & Analytics Consultant

Role Overview

• 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

Requirements

• 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

Tech Stack

• AWS
• Azure
• Cloud
• Oracle
• Python
• SQL
• Tableau

Benefits

• Competitive salary reviewed annually
• Work for a passionate, mission-driven company solving society’s big problems
• Work flexible hours around life commitments with a focus on delivering company value rather than hours worked
• Ability to work remotely (excluding face-to-face Team Meetings and client meetings)
• Training and development opportunities
• 25 days annual leave (plus bank holidays)
• Company pension
• Private medical insurance
• Generous enhanced parental leave policies
• Cycle to work scheme
• Flu Vaccinations
• Eye Test and contribution towards Glasses for VDU use
• Employee Assistance Programme:
• Mental health and wellbeing support
• Remote GP access
• Counselling/therapy
• Physiotherapy
• Medical second opinions