Job Description

Role Description

We are looking for an exceptional Data Analyst to join our team. This is not a traditional reporting role - you will be at the centre of real-time analytics, AI-driven insights, and data-powered product innovation.

You will collect, manage, clean, enrich, and explore vast datasets to unlock actionable intelligence that shapes strategic business decisions and delivers impactful dashboards, analytics, and automated insights at scale.

As the Data Analyst you will:

• Transform Business Questions into Insight
  • Translate complex business problems into structured analysis.
  • Design and deliver compelling visual stories using modern BI and data visualisation tools.
  • Present findings clearly to both technical and non-technical stakeholders.
• Real-Time & Advanced Analytics
  • Build low-latency data pipelines and streaming analytics solutions.
  • Develop automated queries, dashboards, and SaaS-embedded analytics.
  • Optimise analytical tools and workflows for speed, scale, and reliability.
• AI & Machine Learning Enablement
  • Prepare curated, high-quality datasets for ML training and inference.
  • Support feature stores, model outputs, and data versioning.
  • Integrate with ML platforms and apply MLOps best practices such as A/B testing and model monitoring.
  • Enable AI-generated dashboards and conversational analytics experiences.
• Data Visualisation & Storytelling
  • Create interactive live dashboards using leading BI platforms.
  • Empower self-serve analytics across teams through intuitive reporting tools.
• Governance, Security & Compliance
  • Implement robust governance frameworks covering naming standards, lineage, classification, and retention.
  • Ensure compliance with global regulations and enterprise-grade security practices.
• Data Quality & Reliability
  • Design automated validation, anomaly detection, and monitoring systems.
  • Establish trusted single sources of truth for critical business metrics.
• Documentation & Continuous Improvement
  • Maintain comprehensive data dictionaries, catalogues, and metadata repositories.
  • Continuously evaluate emerging data patterns and architectural approaches.
• Cross-Functional Collaboration
  • Partner closely with Product, Engineering, DevOps, and Data teams to align analytics with evolving product strategy.
• SaaS & Multi-Tenant Architecture
  • Design scalable analytics solutions addressing global performance, latency, isolation, and availability needs.

Qualifications

• Bachelor’s degree in Statistics, Computer Science, Data Science, Information Systems, or related field.
• Master’s degree is a plus.
• Relevant certifications in BI tools, data platforms, or analytics are advantageous.
• Commitment to continuous professional development.
• Fluent in English.

Requirements

• Demonstrated experience in technology roles, in data analytics or platform analytics.
• Proven experience in SaaS or product-centric organisations.
• Background working with large-scale datasets such as telecom, IoT, telemetry, or digital platforms.
• Hands-on experience designing scalable, cloud-based data environments (AWS preferred).
• Programming: SQL and Python expertise; JavaScript/NodeJS a plus.
• Data Warehousing & Modelling: Dimensional modelling, star schemas, and data marts.
• Strong experience with relational and NoSQL systems.
• Analytics & BI: Tableau or equivalent BI platforms.
• Familiarity with modern data ingestion and orchestration tools.
• Understanding of ML pipelines, feature stores, and AI/LLM-based analytics.
• Experience applying DevOps practices to data pipelines.
• Knowledge of GDPR, SOC2, ISO frameworks, and data protection practices.

Benefits

• Competitive compensation with a base salary that reflects your expertise and impact.
• Bonus scheme to share in our success.
• Private medical insurance from day one.
• Remote working arrangements to support your lifestyle.
• An open holiday policy with no upper limit—take the time you need, when you need it.
• Support for volunteering and causes that matter to you.
• Opportunities for professional development and career progression.
• Exposure and interaction with global teams.
• A commitment to diversity, equity, and inclusion.
• A collaborative environment where your voice is valued and your wellbeing is prioritised.
• The chance to work on technology that drives global economic inclusion and makes a real difference in people’s lives.

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