Srikanth Koduri

Over 9 years of experience in BI implementation, including Analytics, Data Warehousing, and Visualization. Skilled in collaborating with cross-functional teams to gather business and data requirements, translate them into technical specifications, and develop scalable BI solutions. Expertise in designing and optimizing ETL pipelines, data extraction, and data modeling to support business intelligence and reporting needs.

Strong track record of stakeholder engagement, dashboard development, and optimizing data workflows to enhance operational efficiency. Passionate about leveraging cutting edge AI technologies to deliver high impact analytics solutions.

Staff Data Analyst at Coupang (2025-08 – Present)

• Analysed product performance within the Rocket Growth team at Coupang, identifying drivers of decline for transitioned retail products and built an automated pipeline, reducing manual analysis effort by 40% and improving root cause identification accuracy and speed.
• Conducted selection churn analysis to uncover drivers of poor performing selections, enabling targeted actions that improve the selection success and organic search performance.
• Performed deep dives on high growth products, identifying key success factors and driving recommendations that contributed to increased sales uplift and conversion.
• Led analytics for a review submission acceleration product, partnering with Product and Engineering to design and implement A/B tests, resulting in a ~35% increase in review submission rates and measurable sales uplift (~5-7%).
• Leveraged Claude Code and Windsurf tools to build a business knowledge base, improving analyst productivity by ~30% and enhancing output accuracy for recurring and ad-hoc analyses.
• Collaborated with the SCM inbound team to optimize earliest delivery date predictions, reducing out of stock rates by ~10% and improving inventory efficiency and customer experience.

Senior Data Analyst at Vonage (2023-04 – 2025-07)

• Implemented revenue growth analysis, uncovering opportunities to boost Annual Recurring Revenue (ARR) by $25M through close collaboration with the sales and finance team.
• Developed SaaS financial and product metrics to evaluate business performance and customer retention, enabling leadership teams to analyze growth trends across product verticals effectively.
• Automated the pricing recalculation process using Python, Snowflake and Tableau, reducing manual effort by 40% and runtime by 68%, while creating and scheduling ETL pipelines with dbt and Airflow.
• Utilized Claude LLM on AWS SageMaker and Bedrock, alongside XGBoost models, to analyze customer care interactions and high impact metrics for churn prediction modeling, extracting key insights and churn factors to improve customer success and support effectiveness, resulting in an ~11% reduction in churn.
• Enhanced customer experience and care efficiency by streamlining the routing process across call and chat channels.
• Managed a team of analysts and data engineers to deliver data driven insights, collaborating with stakeholders to gather requirements, develop analytical solutions, and implement actionable recommendations

Data Strategy & Analytics Analyst at Salesforce (2021-06 – 2023-04)

• Developed data-driven, personalized re-engagement strategies for existing customers, increasing retention by ~12%.
• Collaborated with product and marketing teams to improve onboarding completion rates by 20% through omni-channel engagement analysis.
• Enhanced performance of predictive models for customer attrition and growth, presenting insights via Tableau dashboards.
• Designed product license utilization dashboards, enabling data-driven decisions for product development and sales strategies.
• Created a persona data platform, enhancing segmentation capabilities and boosting email campaign click through rates by 18%.

Data Analyst at Novartis (2020-04 – 2021-05)

• Analyzed adoption of new tools by field force executives, measuring their impact on pharmaceutical and oncology sales.
• Developed machine learning models to forecast sales and designed dashboards using Dash and Plotly.
• Clustered field force representatives into cohorts for behavioral analysis using k-means and hierarchical algorithms.
• Designed and scheduled data extraction processes using Alteryx, Snowflake and Python to ensure data accuracy.
• Applied NLP techniques to analyze text data patterns, creating knowledge graphs and topic models.
• Evaluated campaign effectiveness by extracting Google Analytics data using Alteryx API.

Bachelor of Technology – VIT University (2017-04)