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Mid-level generalist title but niche BI, AI, and NLP requirements reduce applicant density.
Core BI, SQL, and ML skills transfer across industries but support-operations context adds moderate specificity.
Explicit minimum experience plus mandatory BI, SQL, and ML/NLP skills create strict filtering.
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Plan, develop, implement, and report on Support, Cloud Operations, and Customer Success metrics using BI tools and AI-driven analytics.
Administer and govern tools like Google BigQuery, Looker Studio, Tableau, and Jira; ensure data accuracy, monitor automated data processes, and resolve issues.
Leverage machine learning models, generative AI, and predictive analytics to analyze support data, uncover trends, automate workflows, and deliver proactive operational insights.
Minimum 3 years experience in data management, reporting platforms, and enterprise analytics, including analyzing large complex datasets.
Hands-on expertise in Advanced SQL techniques, data preparation and transformation; strong experience with BI tools like Tableau and Looker Studio.
Experience applying Generative AI, NLP, or Machine Learning to analyze unstructured customer/support data and automate reporting.
Education or equivalent experience in a high-tech Customer Support industry; professional degree in Data Analytics or Business Administration.
Experienced in using AI and machine learning to drive operational insights and automation within customer support or cloud operations environments.
Strong in hands-on technical skills (SQL, BI tools) combined with strategic data analytics and reporting capabilities.
Capable of independently leading data-driven initiatives and managing governance of multiple analytics platforms with high accuracy and timeliness.