
Mayura R
Data Analyst
Skills

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Werkervaring
Data Analyst
HomeRepair • Fulltime
May 2025 - Present • 1 yr 5 mos
Query & Prep Data: Write and optimize SQL queries in Databricks to extract, transform and load data from multiple sources. Build Dashboards: Develop and maintain interactive Tableau dashboards that surface invoicing, remittance, auto-pay and other KPIs. Automate ETL: Create Databricks notebooks and pipelines to automate data ingestion, cleansing and validation for reliable reporting.
Lead Data Analyst
Alibaba • Fulltime
Jun 2024 - Sep 2024 • 3 mos
Optimized reporting processes and automated data flows, reducing time to flag fraudulent merchants and streamlining exposure reporting — leading to a 15% improvement in response time. Led the development of the Monthly Business Review (MBR) dashboard, collaborating cross-functionally to gather and validate data. Built supplementary Google Sheets for manual input where needed to ensure full data coverage. Designed and implemented new risk models for fraud detection, resulting in a 10% decrease in fraudulent merchant activity. Built advanced SQL pipelines using nested queries and complex joins to transform and standardize data from multiple sources. Integrated customer transaction and behavioral data from ODPS and other platforms to create actionable KPIs that improved visibility into operational and financial performance.
Senior Associate Data Analyst
Grant Thornton • Fulltime
Nov 2020 - Mar 2024 • 3 yrs 4 mos
Led data-driven strategy projects for Fortune 500 and mid-market clients, translating complex business challenges into actionable insights using advanced analytics and market research. Designed and implemented custom analytical models (in R and SQL) to support growth strategies, pricing decisions, market entry, and competitive positioning. Presented insights directly to clients, shaping executive decision-making through clear visualizations, storytelling, and strategic recommendations. Mentored junior analysts on statistical methods, research design, and stakeholder engagement, improving project efficiency and overall team capability. Collaborated with cross-functional teams (both local and US-based) to align analytical outputs with broader business goals and timelines.