Dynamic digital analytics professional with extensive expertise in data analysis, SEO, and digital marketing. Proven success in driving business growth through A/B testing, data visualization, and strategic recommendations that deliver measurable results. Skilled in fostering stakeholder collaboration and adapting to evolving project demands with clear ownership. Seeking a full-time role to solve complex professional challenges and create a meaningful impact through data-driven problem-solving and analytical excellence.
Hi, I’m
SREEJA
Senior Business Analyst - Analytics
Bangalore
Summary
Overview
9
years of professional experience
3
Certifications
Work History
Adobe
Digital Analyst (Senior Analytics)
02.2025 - 03.2026
Job overview
- Lead end-to-end monetization and checkout journey analytics for Adobe's core e-commerce platforms.
- Explore users' journeys to uncover behavioral patterns, drop-off points, and translate them into actionable optimization roadmaps.
- Performed A/B and multivariate testing across Adobe Target, JDI's (Sofia), and AJO, resulting in an average conversion lift of ~15% and ~$20M in quarterly revenue through pre-post test analysis.
- Engineered a scalable Power BI dashboard atop Databricks ETL pipelines using SQL, which eliminated 70% of manual reporting, with an increased speed and accuracy of 30%.
- Handle stakeholders through structural presentation by showcasing important findings and insights in order to make data-driven decisions.
- Integrated LLM-powered agents into dashboards to detect anomalies and auto-generate narrative summaries, reducing the time-to-insight for stakeholders by 40%.
Google
Business Analyst II
08.2022 - 08.2023
Job overview
- Led end-to-end consolidation of fragmented human evaluation data into a single source of truth using BigQuery and SQL, eliminating manual Excel-based workflows for 150+ global stakeholders.
- Built a centralized, multi-dimensional analytics ecosystem for the MSE (Marketplace Safety & Ecosystem) team, driving a 20% lift in app discoverability and a 15% boost in user engagement through refined personalization.
- Built a global vendors' productivity dashboard that auto-detects anomalies and flags inconsistencies in vendor evaluation patterns, ensuring high data integrity for app safety and quality score.
- Partnered across Data Engineering and Product orgs to define ETL requirements and business logic, transforming raw datasets into high-scale insights that optimized marketing spend and global monetization strategies.
Flipkart
Associate Business Analyst
05.2021 - 06.2022
Job overview
- Led user experience analytics for storefront and recommendation engines.
- Leveraged Adobe Analytics and HiveSQL to identify journey gaps, driving a 15% increase in conversion rates.
- Managed end-to-end A/B and multivariate testing, including pre-post and offset analysis to validate feature impact, resulting in a 25% average uplift in key discovery metrics.
- Designed and scaled centralized, user-centric dashboards in Power BI, automating weekly, monthly, and quarterly reporting, and reducing manual reporting effort by 70%.
- Spearheaded anomaly detection and sanity checks for existing metric tracking; optimized reporting accuracy by redefining tracking rules, and validating data models.
- Translated complex analytical findings into actionable insights for cross-functional stakeholders, aligning product roadmaps with data-driven user behavior models.
Swiggy
Supervisor, Central Vendor Management
08.2017 - 05.2020
Job overview
- Spearheaded the expansion of vendor operations from Tier 1 to Tier 2 and Tier 3 cities, successfully going live across 500+ cities, and driving a significant increase in Average Order Value (AOV).
- Built and led a centralized supply management team, transitioning manual onboarding to an automated vendor onboarding process that reduced turnaround time and improved scalability.
- Supervised a cross-functional team to streamline the end-to-end vendor lifecycle, partnering with Regional Heads to align operational goals with regional market demands.
- Managed complex vendor inquiries regarding onboarding and compliance, improving vendor satisfaction scores through proactive problem-solving and streamlined communication channels.
- Expanded vendor operations PAN India — increased AOV by 32% through strategic vendor performance management.
- Collaborated on multi-departmental initiatives to optimize supply chain efficiency, ensuring seamless vendor integration during rapid, hyper-growth phases.
Education
Jain (Deemed-to-be University)Bangalore
MBA from Data Science & Analytics
01-2024
University Overview
GPA: GPA: 8.2/10
Skills
SQL
Excel
Power BI/Tableau
Web Analytics(AA/CJA/GA4)
A/B Testing
Business intelligence
Statistical modeling
Web Language (HTML/CSS /JS )
Azur Databricks/RedShift/BigQuery
Python
AI & Automation
Digital marketing strategy
Predictive modeling
ETL Pipelines
Certification
[The Complete Python Pro Bootcamp] Training - [3 Months]
Timeline
[LLM Engineering, RAG, QLoRA, Agents] Training - [6 Months]]
08-2025
[Prompt Engineering for AI] Training - [2 Months]
07-2025
[The Complete Python Pro Bootcamp] Training - [3 Months]
05-2025
Digital Analyst (Senior Analytics)
Adobe
02.2025 - 03.2026
Business Analyst II
Google
08.2022 - 08.2023
Associate Business Analyst
Flipkart
05.2021 - 06.2022
Supervisor, Central Vendor Management
Swiggy
08.2017 - 05.2020
Jain (Deemed-to-be University)
MBA from Data Science & Analytics