Data Analyst
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 24, 2026.
Who we are...
At Trustonic, we make smartphones affordable for the many, enabling global access to devices and digital finance through the world’s most secure smartphone locking technology. We partner with mobile carriers, retailers, and financiers across 30+ countries, powering device financing solutions that drive economic inclusion, profitability, and growth.
We pride ourselves on living by the Trustonic culture code, a blueprint for our journey that recognises that great working environments don’t guarantee success, but bad ones almost always ensure failure.
Working here, you’ll find a company that celebrates its diversity and is looking to do the right thing: for each other, the community and the planet. We believe in equal opportunities and take to heart the old African proverb ’If you only want to go fast, go alone. If you want to go far, go together’.
We work flexibly when and where we’re at our best, but regardless of how you choose to work, we’ll make sure you feel like one of the team.
Click here if you would like to find out more about Trustonic's culture code.
If you would like to work in a fast-moving global technology company, with great ambition, then we’d love to hear from you!
A bit about the role and what you'll do...
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.
What we’re looking for...
Experience & Domain Expertise
- 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).
Technical Strengths
- Programming: SQL and Python expertise; JavaScript/NodeJS a plus.
- Data Warehousing & Modelling: Dimensional modelling, star schemas, and data marts.
- Databases: Strong experience with relational and NoSQL systems.
- Analytics & BI: Tableau or equivalent BI platforms.
- Streaming & ETL: Familiarity with modern data ingestion and orchestration tools.
- ML & AI Awareness: Understanding of ML pipelines, feature stores, and AI/LLM-based analytics.
- DataOps & CI/CD: Experience applying DevOps practices to data pipelines.
- Security & Compliance: Knowledge of GDPR, SOC2, ISO frameworks, and data protection practices.
Key Attributes
- Exceptional communication and stakeholder management skills.
- Analytical mindset with strong problem-solving ability.
- Adaptable and committed to continuous learning.
- Highly organised and capable of managing multiple initiatives.
- Innovative thinker with a forward-looking approach to data architecture.
- Detail-oriented with a passion for documentation and standards.
- 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.
What we can provide you in return for your investment...
Competitive compensation
- A base salary that reflects your expertise and impact.
- Bonus scheme to share in our success.
Financial security & wellbeing
- Private medical insurance from day one.
Flexibility & work-life balance
- 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.
Growth & development
- Opportunities for professional development and career progression.
- Exposure and interaction with global teams.
Inclusive, supportive culture
- A commitment to diversity, equity, and inclusion.
- A collaborative environment where your voice is valued and your wellbeing is prioritised.
Impact & purpose
- The chance to work on technology that drives global economic inclusion and makes a real difference in people’s lives.
Trustonic is an equal opportunity employer. We do not discriminate on any grounds. We empower, engage, enable and value differences between people, including; different races, ethnicities, genders, ages, religions, disabilities and sexual orientations, with differences in education, backgrounds, skill sets, experiences and knowledge.