Kushal Jadhav R

Data Analyst with 2.5 years of experience across Retail, and enterprise SaaS, using SQL and BI tools to turn business questions into actionable insights. Hands-on with data analysis, ETL/data preparation, reporting, and dashboard development for large organizations, plus complex SQL against large-scale cloud data warehouses (Snowflake, BigQuery). Skilled at translating ambiguous stakeholder requests into scoped analyses, defining KPIs and metrics, validating data for accuracy, and communicating findings through clear data visualization and storytelling for both technical and non-technical audiences.

Working knowledge of Python and continuously improving technical depth.

Data Analyst / Consultant at MathCo (2024-01 – Present)

Client: Smartsheet — Business Intelligence & Analytics

• Delivered ~10 analysis requests per month for Customer Success and account teams by writing complex Snowflake SQL (window functions, CTEs, slowly-changing-dimension logic) against tables of 1B+ rows.
• Translate ambiguous, open-ended stakeholder requests into scoped analyses — clarifying requirements, defining metrics, and documenting scope before building — reducing rework and back-and-forth.
• Deliver analyses that directly support enterprise renewals, license/usage true-ups, and billing/overage disputes worth $500K+ in ARR, frequently against tight renewal and QBR deadlines.
• Cut turnaround on recurring requests by 25% by building reusable, documented SQL patterns adopted as team standards.
• Built point-in-time and historical reporting that reconstructs account and user state as of any past date, enabling retroactive usage analysis and evidence-backed billing.
• Own data quality end to end — spot-checking against raw sources and cross-validating aggregates before delivery — and built reusable query patterns adopted as team standards, cutting turnaround on recurring requests.

Data Analyst / Consultant at MathCo (2024-01 – Present)

Client: Walmart Plus — Customer Insights & Strategy, Reporting & Dashboarding

• Investigated a [4pp] month-over-month drop in NPS: pulled and analyzed survey data, drilled from monthly to weekly granularity, and traced the decline to a single week of low scores from new sign-ups — isolating the cause as a Pokémon promotional event that drove Wplus-exclusive sign-ups whose unmet expectations depressed NPS, clearing the core customer base of concern.
• Analyze customer, sales, and campaign data to generate actionable insights, translating findings into clear recommendations for the Customer Insights & Strategy team.
• Support strategic decisions through structured analysis and data storytelling for senior stakeholders.
• Built Sales Lift Reports (SLR) measuring the revenue impact of Walmart advertising campaigns across multiple campaign types, including in-store campaigns.
• Extracted insights from campaign performance data and compiled Tableau outputs into client-ready PowerPoint presentations.

Data Analyst / Consultant at MathCo (2024-01 – Present)

Client: Kellanov (Kellogg's) — Data Engineering & ETL Support

• Performed data extraction and integration in PostgreSQL to support an internal reporting application for the US-based Kellanova team.
• Used DBeaver for query development, validation, and data quality checks; prepared backend data to enable application-level analytics.

Bachelor of Engineering in B.E. – BMS College of Engineering (BMSCE) (2019-2023)