• Design and guide appropriate data structures for survey-based datasets
• Standardise and streamline ingestion of survey data from external providers and D365 survey tools
• Ensure data quality, consistency, and readiness for downstream analytics and reporting
• Prepare and optimise datasets for dashboards and reporting in SAS Viya
• Liaise with Data Analysts to support development, validation, and publication of dashboards
• Translate business and research requirements into structured data and reporting inputs
• Ensure alignment between survey design, data outputs, and reporting logic
• Act as liaison between Consumer Insights, central data teams, and advanced analytics teams
• Coordinate cross-functional inputs and feedback without direct line management authority
• Engage with platform vendors and Microsoft developers to identify improvement opportunities in the D365 survey environment
• Support enhancements to data capture, usability, and integration processes
• Document, maintain, and improve data integration workflows and best practices
• Promote scalable, repeatable processes that reduce manual handling and risk
• Support governance, compliance, privacy, and regulatory data requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field; Honours or Master’s degree in a quantitative discipline is advantageous
• 3–6 years’ experience in data integration, data engineering, customer insights, consumer research, CX, or analytics-related roles
• Strong experience working with survey and consumer insights datasets and Excel-based external data sources
• Proven experience structuring, mapping, transforming, and integrating data for analytics and reporting purposes
• Experience working with SAS Viya or similar enterprise analytics / BI platforms
• Experience with Microsoft Dynamics 365, Microsoft Forms / Customer Voice, and CRM data integration
• Exposure to ETL and data pipeline tools such as Informatica, Talend, Apache NiFi, or Azure Data Factory
• Advanced SQL skills for querying and manipulating data
• Solid understanding of relational databases, data lakes, and dimensional modelling (star/snowflake schemas)
• Advanced Excel skills; working knowledge of Python or R is beneficial
• Experience with BI and visualisation tools such as Power BI, Tableau, or similar
• Experience with SFTP hosting and secure data transfers
• Exposure to data governance, data quality, and version control practices is advantageous
• Experience supporting AI or advanced analytics initiatives is beneficial

• Strong analytical thinking with the ability to turn complex or messy data into structured, usable datasets
• Ability to translate business questions into structured data requirements
• Strong stakeholder management and cross-functional collaboration skills
• Ability to influence and guide teams with limited technical or data science experience
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
• Proven project coordination and delivery capability across integration initiatives
• High attention to detail and accuracy in data mapping and transformation
• Highly organised, process-oriented, and detail-focused working style
• Proactive problem-solver with a continuous improvement mindset
• Comfortable operating in a matrix and hybrid working environment
• Strong business analytics and data analysis orientation
• Professional, collaborative, and vendor-engagement capable working approach