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Tier-1 brand, metro location, mid-level generalist data role with broad skill requirements increases competition.
Core SQL, Python, ML and analytics skills are highly transferable across industries, so background sensitivity is low.
Mandatory 5+ years plus required SQL, Python, machine learning, and stakeholder skills makes shortlisting highly strict.
Drive post-sale customer engagement and renewals for Red Hat Learning Subscription using data analytics and business insights.
Develop and maintain scalable analytical models, reports, dashboards, and automated monitoring to track consumption and engagement metrics.
Collaborate with sales, data teams, and stakeholders globally to translate business needs into data-driven solutions and proactive engagement strategies.
5+ years experience in data analytics, data science, business analysis, or customer success analytics.
Proficiency in SQL, Python, statistical analysis, and machine learning for building scalable data solutions and automated reporting.
Strong skills in reporting, data visualization, and stakeholder management including requirements gathering and KPI definition.
Work Experience Required: 5+ years as explicitly mentioned in the JD.
Experienced in integrating multiple data sources and building scalable, automated data models and dashboards in complex business environments.
Comfortable working cross-functionally with sales, regional, and data teams to translate business needs into analytics solutions.
Capable of leveraging data insights to develop and execute customer engagement and renewal strategies in fast-paced, customer-centric settings.