About Me
Campaign Data and Operations Analyst with 3 years of experience supporting large-scale digital marketing campaigns for Uber US & Canada, combining campaign operations, marketing analytics, audience management, data analy…
Campaign Data and Operations Analyst with 3 years of experience supporting large-scale digital marketing campaigns for Uber US & Canada, combining campaign operations, marketing analytics, audience management, data analysis, campaign performance optimization, quality assurance, and stakeholder collaboration. Experienced in analyzing campaign and audience data, translating business objectives into targeting requirements, managing end-to-end campaign execution, validating data and campaign outputs, developing performance reports, conducting A/B testing, and identifying actionable insights. Hands-on experience with Python, SQL, Excel, Power BI, CRM and marketing automation, Jira, customer segmentation, journey orchestration, and cross-functional campaign delivery.
Experience
Analyst
<p>Executed end-to-end digital marketing operations for 1,500+ marketing and legal campaigns across North American and global markets, managing audience requirements, campaign setup, deployment, QA, monitoring, and reporting. Analyzed customer, audience, and campaign performance data to identify trends, anomalies, engagement opportunities, and actionable insights that supported campaign optimization and business decision-making.</p><p></p><p>Translated business objectives into audience segmentation strategies, targeting criteria, suppression logic, exclusions, personalization rules, and customer journey workflows. Built and validated audience segments and campaign lists, ensuring accurate targeting and effective campaign execution through rigorous data validation and quality control processes.</p><p></p><p>Performed comprehensive campaign QA, including link validation, personalization testing, rendering checks, and device testing to ensure production-ready deliverables. Managed campaign workflows through Jira, documenting requirements, dependencies, blockers, execution status, scope changes, and sprint priorities.</p><p></p><p>Collaborated with Marketing, CRM, Product, Analytics, Design, and Operations teams to resolve audience, data, and campaign-related issues while ensuring timely delivery against business objectives. Designed and optimized customer journeys through targeted communications and reward-based engagement strategies, contributing to a 40-75% increase in engagement rates.</p><p></p><p>Executed A/B testing and campaign experimentation within automated workflows, enabling simultaneous testing of campaign variations and reducing execution effort by approximately 72 hours. Supported optimization initiatives that increased conversion rates from 18% to 35% through audience refinement, journey enhancements, and personalized communications.</p><p></p><p>Monitored campaign KPIs including engagement, CTR, conversion, delivery, and response metrics, identifying performance trends and optimization opportunities. Developed recurring reports, dashboards, KPI summaries, and ad hoc analyses using Excel and Power BI to communicate campaign effectiveness and operational insights.</p><p></p><p>Conducted root-cause analysis on campaign and workflow issues, identifying data discrepancies, QA gaps, process inefficiencies, and execution failures while implementing corrective actions. Built and maintained SOPs, QA frameworks, reporting standards, documentation, and knowledge-base resources that improved operational consistency, scalability, and accuracy.</p><p></p><p>Supported high-profile NFL, NBA, MLS, MLB, and NHL campaigns, overseeing audience preparation, execution, compliance, deployment, live monitoring, and post-campaign analysis. Trained and mentored new team members on campaign operations, audience workflows, QA/QC standards, Jira processes, and execution best practices.</p>
Data Analyst
<p>Conducted data analysis, data cleaning, exploratory analysis, trend analysis, and KPI reporting using Python (Pandas, numpy, seaborn, matplotlib), SQL and Excel across 8+ marketing and business intelligence projects.</p><p> Translated analytical findings into business insights and presented recommendations clearly to non-technical stakeholders.</p><p> Built interactive Power BI dashboards for executive performance tracking, enabling structured monitoring of business KPIs and trends.</p>
PROJECTS
Uber Marketing Automation Campaign lead
<p>Executed end-to-end digital marketing operations for 1,500+ marketing and legal campaigns across North American and global markets, managing audience requirements, campaign setup, deployment, QA, monitoring, and reporting. Analyzed customer, audience, and campaign performance data to identify trends, anomalies, engagement opportunities, and actionable insights that supported campaign optimization and business decision-making.</p><p>Translated business objectives into audience segmentation strategies, targeting criteria, suppression logic, exclusions, personalization rules, and customer journey workflows. Built and validated audience segments and campaign lists, ensuring accurate targeting and effective campaign execution through rigorous data validation and quality control processes.</p><p>Performed comprehensive campaign QA, including link validation, personalization testing, rendering checks, and device testing to ensure production-ready deliverables. Managed campaign workflows through Jira, documenting requirements, dependencies, blockers, execution status, scope changes, and sprint priorities.</p><p>Collaborated with Marketing, CRM, Product, Analytics, Design, and Operations teams to resolve audience, data, and campaign-related issues while ensuring timely delivery against business objectives. Designed and optimized customer journeys through targeted communications and reward-based engagement strategies, contributing to a 40-75% increase in engagement rates.</p><p>Executed A/B testing and campaign experimentation within automated workflows, enabling simultaneous testing of campaign variations and reducing execution effort by approximately 72 hours. Supported optimization initiatives that increased conversion rates from 18% to 35% through audience refinement, journey enhancements, and personalized communications.</p><p>Monitored campaign KPIs including engagement, CTR, conversion, delivery, and response metrics, identifying performance trends and optimization opportunities. Developed recurring reports, dashboards, KPI summaries, and ad hoc analyses using Excel and Power BI to communicate campaign effectiveness and operational insights.</p><p>Conducted root-cause analysis on campaign and workflow issues, identifying data discrepancies, QA gaps, process inefficiencies, and execution failures while implementing corrective actions. Built and maintained SOPs, QA frameworks, reporting standards, documentation, and knowledge-base resources that improved operational consistency, scalability, and accuracy.</p><p>Supported high-profile NFL, NBA, MLS, MLB, and NHL campaigns, overseeing audience preparation, execution, compliance, deployment, live monitoring, and post-campaign analysis. Trained and mentored new team members on campaign operations, audience workflows, QA/QC standards, Jira processes, and execution best practices.</p>