Sri Sravya Jamallamudi
Marketing Data Analyst @OneMagnify | Data Analytics | SQL | Python | Power BI | Adobe Analytics | A/B Testing | Master’s in BA & AI (UT Dallas MS’25) |
- Role
- Marketing Data Analyst at OneMagnify
- Location
- Austin, TX, US
- LinkedIn followers
- 500 followers
About Sri Sravya Jamallamudi
I’m a Digital & Data Analyst with a Master’s in Business Analytics & Artificial Intelligence from The University of Texas at Dallas, passionate about transforming complex data into actionable insights that drive measurable business growth. In my current role at Dreamline AI, I analyze large-scale operational and marketing datasets using SQL, Python, GA4, Adobe Analytics, and Power BI to improve conversion rates, optimize KPIs, and strengthen executive decision-making.Previously at VML MAP, I worked hands-on with GA4 and Adobe Analytics to implement tracking across 25+ landing pages, execute A/B testing in Adobe Target, and deliver insights that increased conversions by 31% and reduced bounce rates by 21%. My experience spans campaign performance analysis, customer segmentation, retention insights, personalization, and dashboard automation.At Deloitte, I built scalable reporting workflows, optimized ETL processes, and analyzed 1M+ row datasets to support eCommerce insights, KPI tracking, and data-driven campaign strategies — improving reporting accuracy and operational efficiency.I enjoy bridging analytics and strategy, translating traffic trends, attribution models, and customer behavior into clear, commercial narratives that marketing, product, and leadership teams can confidently act on.Always curious. Always optimizing. Always focused on impact.
Experience
Marketing Data Analyst
Apr 2026 — Present · Austin, TX, US
Built and maintained Power BI dashboards for cross-channel marketing performance, tracking KPIs like ROAS, CTR, CVR, CPC, and enabling data-driven decision-making across client campaigns.• Developed and optimized SQL-based data models, transforming data from Funnel.io, Google Ads, Meta Ads, and paid media platforms into a standardized schema for scalable and consistent reporting.• Automated reporting workflows using API integrations and data pipelines, reducing manual effort and improving data accuracy and refresh efficiency.• Implemented AI-driven analytics and automation solutions (using Python/ML techniques) to enhance anomaly detection, campaign optimization insights, and support data-driven decision-making at scale.
Education
National Institute of Technology, Andhra Pradesh
Bachelor of Engineering - BE, Electrical and Electronics Engineering
2018 — 2022
The University of Texas at Dallas
Master of Science - MS, Business Analytics & Artificial Intelligence
Narayana Junior College - India
secondary high school, Mathematics Physics and chemistry
2016 — 2018
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