Senior Data Analyst

A bit about the role and what youll do...

We are looking for an exceptional Senior 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 Senior 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 were looking for...

Experience & Domain Expertise

• Substantial years in technology roles with 5 years 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.

Qualifications :

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

Additional Information :

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.

Flexibility & work-life balance

• Remote working arrangements to support your lifestyle.
• An open holiday policy with no upper limittake 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 peoples lives.

#LI-Remote

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.

Remote Work :

Yes

Employment Type :

Full-time