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Senior Support Operations Analyst ( Power BI / Microsoft Fabric) at Model N - ApplyBlast

Senior Support Operations Analyst ( Power BI / Microsoft Fabric)

Model N

5 months ago

3.4 on Glassdoor

Hyderabad

Onsite

Full Time

Senior

0 applicants

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About this role

A Senior Support Operations Analyst in Hyderabad drives actionable insights from complex support data to inform Product, Engineering, and Customer Success strategies. This engineer-led role focuses on identifying nuanced patterns, shaping meaningful metrics, and translating operational data into clear narratives for executive decision-making. The position requires comfort with imperfect data and the ability to connect support trends to broader business impact.

Responsibilities

Define and operationalize support metrics reflecting operational health and customer impact
Build and maintain dashboards in Microsoft Fabric for support demand and backlog health
Analyze data to identify systemic product issues and emerging risks for engineering teams
Partner with Customer Success to integrate support data into health scores and risk identification
Evaluate AI-enabled support tool outputs to assess accuracy and drive knowledge improvements

Skills

Qualifications

5–7 years of experience in Support Operations or Business AnalyticsProficiency in BI tools within the Microsoft Fabric ecosystemExperience with Salesforce Service Cloud data modelsFamiliarity with Gainsight or similar Customer Success platformsStrong background in data analysis and storytelling

About Model N

modeln.com

Headquarters

Redwood City, California, United States

Company Size

501-1000 employees

Founded

1999

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Model N is a software company that provides cloud-based revenue management solutions for the pharmaceutical, medtech, and life sciences industries. Its platform helps organizations manage end-to-end commercialization, including pricing, contracts, compliance, and gross-to-net optimization. Model N empowers innovators to grow market access, optimize revenue, and maintain compliance through intelligent cloud technology and data-driven expertise.