Divya Sri Pothuraju
@divyasripothuraju
Marketing Data Analytics professional turning customer and campaign data into actionable growth insights.
What I'm looking for
I’m a Marketing Data Analytics professional with 5+ years of experience delivering insights across e-commerce, healthcare, and financial services environments. I help enterprise teams make data-driven decisions with clear, measurable outcomes.
I specialize in customer, product, and campaign analytics—segmentation, funnel analysis, attribution, and personalization across digital and omni-channel platforms. In my recent e-commerce work, I integrate Adobe Analytics, CRM, and POS data into Google BigQuery and build segments that support targeted campaigns.
I also focus on experimentation and optimization, including A/B and multivariate testing using Adobe Target, where test results inform site and campaign improvements. I’ve supported meaningful impact such as reduced cart abandonment, higher email engagement, improved conversion, and better marketing efficiency through ROI and attribution analysis.
Across roles, I build interactive dashboards and reporting with Power BI and Tableau, and I design analytics-ready data pipelines using SQL, Python, and cloud platforms like Azure and BigQuery. I enjoy partnering with product, UX, engineering, and marketing stakeholders to translate complex data into practical next steps.
Experience
Work history, roles, and key accomplishments
Integrated customer data across Adobe Analytics, CRM, and in-store POS into Google BigQuery, then built SQL-based segments to support targeted campaigns and improve email CTR. Built Tableau dashboards and ran A/B and multivariate tests in Adobe Target to reduce cart abandonment and lift engagement, conversion, and AOV through analytics and personalization.
Built Azure-based data pipelines and Power BI dashboards to analyze SKU-level sales and campaign performance, improving reporting cycle time and decision-making speed. Developed Python demand forecasting models, automated SQL ETL and validation, and created near real-time sales and inventory dashboards to reduce stockouts and excess inventory.
Integrated customer data from 10+ sources into an on-prem SQL Server CDP to improve customer profiling and targeted campaign reach. Built predictive customer segmentation and ran personalized offer A/B tests using Python, while maintaining Tableau dashboards connected to the CDP and automating ETL with SSIS.
Education
Degrees, certifications, and relevant coursework
Northern Arizona University
Master of Science, Information Technology
Earned a Master of Science in Information Technology from Northern Arizona University.
Tech stack
Software and tools used professionally
Adobe Target
Google Tag Manager
Talend
OpenRefine
Data Studio
Salesforce
NumPy
Pandas
MySQL
PostgreSQL
Microsoft SQL Server
Mailchimp
Google Analytics
Mixpanel
Adobe Analytics
Microsoft Teams
Jira
scikit-learn
HubSpot
Trello
SEMrush
Microsoft Excel
Time Analytics
Google BigQuery
KISSmetrics
Marketo
SQL
Hotjar
Google Ads
Zoho CRM
Depot
Factory
Omni
Seaborn
Availability
Location
Authorized to work in
Job categories
Skills
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