Company Description
Help us build the "System of Action" that supercharges global manufacturing teams.

QAD is entering a high-velocity era to architect the world’s first AI-native, agentic ERP. We are moving beyond legacy "systems of record" to build an autonomous platform where humans and AI work as a tag team to redefine how factories operate. Join us at this pivotal moment to build our next generation platform, lead the next generation of the Adaptive Enterprise and turn global speed into strategy.
Job Description
Responsible for planning, developing, implementing, and reporting on Support, Cloud Operations, and Customer Success metrics using both traditional BI tools and AI-driven analytics. Drives program governance for Google BigQuery, Looker Studio, Tableau, and Jira. Leverages machine learning models, predictive analytics, and Generative AI to analyze complex support datasets, uncover hidden trends, automate operational workflows, and deliver proactive insights that optimize support systems and processes.




Accurately analyze and collect data to create business reports that provide insight into key data points for Support’s initiatives. Monitor and communicate performance data, usage accuracy and ROI. Watch for unusual trends or anomalies and engage appropriate leaders where action is required. Provides direct assistance as requested to prepare reports or analyze data from all levels of management within Support.
Oversee and administer Tableau, Looker/Data Studio reports, Jira Dashboards, etc. Utilize established QAD processes and tools to verify data accuracy for audits. Monitor automated processes to ensure consistent and correct processing of data – and take a leading role in investigation and resolution of any issues.
Use generative AI and machine learning to analyze past support interactions to extract trends and automate actions. Perform data analysis for generating and distributing management reports in an accurate and timely manner. Prepare and publis

📌 Support Operations Senior Data Analytics Administrator (Pune)
🏢 QAD
📍 Pune