Soumya Nayak
Data Analyst - Gso Client Data Services @Meta
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WORK HISTORY
Data Analyst - Gso Client Data Services @Meta
NY, US
Built AI-powered semantic data models in Claude and deployed workflow automation apps, reducing manual effort for PMs and support agents and accelerating analytics turnaround time.• Partnered with PMs to design AI-driven analytics workflows using Analytics Agent, enabling automated insight generation and significantly reducing time-to-insight for operational reporting.• Implemented anomaly detection alerts to proactively monitor operational metric and flag beyond dynamic thresholds.• Standardized and automated Voice-of-Customer and support metrics via ETL pipelines and self-serve dashboards, reducing metric turnaround time and improving stakeholder adoption.• Led end-to-end analytics migration for MetaWorks support platform (CCP → Salesforce), rebuilding data models and dashboards with zero critical regressions during UAT.• Built forecasting models for Tier-2 ticket volumes using historical trend analysis and regression-based approaches, improving capacity planning across regions.
EDUCATION
The University of Texas at Austin
MS Business Analytics at UT Austin
Xavier Institute of Management(XIM Bhubaneswar)
Master of Business Administration - MBA, Rural Management
Indira Gandhi Institute of Technology (IGIT), Sarang
Bachelor of Technology (B.Tech.), Electronics and Telecommunication Engineering
SKILLS
ABOUT SOUMYA NAYAK
Senior Data Analyst with 7+ years of experience in advertiser data quality, support operations metrics, marketing analytics, digital campaign measurement, and data modeling across tech and healthcare. Currently focused on applying AI to analytics workflows—building semantic data models and automation solutions (using Claude) to improve efficiency and speed of decision-making. Core areas of work include- Advertiser data quality, and advertiser graph measurement - Product and customer support analytics - Data modeling and pipeline development (SQL, Python)- Digital marketing and campaign performance measurement Open to roles in Data Analytics, Data Science, and Data Product.
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