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Tier-1 brand plus mid-level generalist Data Scientist title and 3-6 year target increases applicant competition.
Core skills (SQL, Excel, VBA, reporting) are broadly transferable across industries, so background sensitivity is low.
Explicit 5+ years plus mandatory Advanced Excel, VBA and reporting skills make filters strict.
Analyze, compile, and report operational data from multiple sources including production and quality statistics.
Design and create data retrieval processes and queries, producing reports to improve department efficiencies.
Maintain database accuracy, store data in backend systems like SQL and Access, and manage process documentation such as SOPs.
Minimum 5 years experience in advanced Excel and VBA with professional-level proficiency.
Experience in data extraction from various formats (DBIV, CSV, TXT, XLS, XML, SAS, RTF) and storing into databases like SQL and Access.
Work involves reviewing multiple processes, raising issues timely, and meeting SLA parameters such as TAT, productivity, and quality.
Work Experience Required: Minimum 5 years (explicitly stated). Notice period: Not explicitly mentioned.
Experienced in operational data analysis and reporting, comfortable handling diverse data formats and tools.
Strong process-oriented mindset with responsibility for process reviews and documentation adherence.
Capable of stakeholder communication for issue resolution and cross-team coordination to ensure SLA goals are met.