CSI Analytics - Synthetic Data Technical Analyst

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CSI Analytics – Synthetic Data Technical Analyst   Job Details Position Title : CSI Analytics – Synthetic Data Technical Analyst   Job Purpose The Synthetic Data Technical Analyst (Senior Associate) will be responsible for supporting the delivery, implementation, validation, and operation of Synthetic Data solutions across the organization. Working as part of the Synthetic Data Service team, the role will focus on generating, testing, validating, and maintaining Synthetic Data assets that support analytics, AI development, testing, performance testing, integration testing, business innovation, and secure data sharing. The successful candidate will possess strong technical capabilities across Python development, SQL, Data Engineering, Machine Learning, Statistical Analysis, and Data Modelling disciplines. The role requires a hands-on technical practitioner responsible for analysing source datasets, implementing generation logic, validating outputs, and supporting the development of reusable Synthetic Data generation frameworks. Working under the guidance of the Synthetic Data Technical Lead, the analyst will contribute to the delivery of Synthetic Data engagements from requirements gathering through implementation, validation, documentation, and support.   Key Role and Responsibilities This Synthetic Data Technical Analyst will be responsible for delivering scalable, secure, and high quality synthetic data solutions to meet exceptional client and internal stakeholder expectations. Standard work includes but is not limited to:   Synthetic Data Solution Delivery

Analyse source datasets, schemas, relationships, dimensions, distributions, and business rules required for Synthetic Data generation. Develop and maintain Python, SQL, and automation scripts supporting Synthetic Data generation and validation. Implement rule-based, statistical, simulation, and machine-learning-driven generation techniques. Support the creation and maintenance of reusable generation blueprints and framework components. Generate and validate Synthetic Data datasets for testing, analytics, AI, and business innovation use cases.

Synthetic Data Engineering & Validation

Support modelling of facts, dimensions, hierarchies, relationships, and business rules within Synthetic Data solutions. Execute data profiling, statistical analysis, distribution testing, and validation activities. Validate generated datasets to ensure appropriate levels of data utility, statistical fidelity, business realism, privacy protection, and business-rule compliance. Troubleshoot generation issues, data quality problems, and validation exceptions. Support development of reusable validation frameworks and automation assets.

Governance, Documentation & Compliance

Support governance processes to ensure Synthetic Data solutions comply with privacy, security, and enterprise standards.  Assist with disclosure risk assessments, validation reporting, and governance documentation. Maintain technical documentation, delivery artefacts, audit trails, and supporting evidence. Ensure all activities align with organizational data governance and compliance requirements.

Service Support & Continuous Improvement

Support day-to-day operation of the Synthetic Data Service. Assist with user support requests, issue investigations, and delivery activities. Contribute to reusable assets, templates, accelerators, and best practices. Participate in knowledge-sharing initiatives and continuous improvement activities. Stay current with emerging Synthetic Data technologies, methodologies,