Data & Analytics Consultant

Xantura Limited

. 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

Posted 4/21/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSenior💰 £60,000 - £70,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudOraclePythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLRdata manipulationdata engineeringdata sciencedata visualizationmachine learningstatistical analysisexploratory data analysis

Soft Skills

problem solvingstorytellingcommunicationstakeholder managementanalytical skillscollaborationproject managementclient upskillingadaptabilityinfluencing