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Metro location, popular mid-level data role with broad skills requirements and moderate brand visibility.
Low: core analytics skills (SQL, Python, BI, data quality) are broadly transferable across industries.
Moderate: expects specific tools (SQL, Python, Alteryx, SAP) but does not state strict years requirement.
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Own end-to-end data collection, management, analysis, and reporting to support service performance and customer experience measurement.
Develop, maintain, and improve data quality reporting tools and automate data processes across the organisation.
Collaborate with cross-functional teams and partners to translate complex data into actionable business insights and support data-driven decision making.
Proficiency in SQL, Python, and Alteryx for data processing and analysis.
Bachelor's degree in Computer Science, Statistics, Mathematics, or related discipline, or equivalent experience.
Proven experience working with large, unstructured, or poorly structured datasets and creating visual dashboards or scorecards.
Work Experience Required: Demonstrable experience in a data aggregation or analytical role involving data quality control, validation, and stakeholder management.
Experienced in integrating and interpreting complex datasets, with the ability to improve data management processes and ensure data integrity.
Comfortable translating technical data insights for non-technical audiences and engaging with stakeholders across operational to senior leadership levels.
Skilled in using modern analytics and reporting tools (SQL, Python, Alteryx, Power BI/Tableau) with a focus on service performance and customer experience metrics.