Tanish Bhumarkar

Senior Data Analyst

Mumbai 2+ yrs exp 86 · Excellent

About

D2C-focused Senior Data Analyst with 3+ years building growth intelligence for fast-scaling consumer brands (mCaffeine, Hyphen, The Good Bug). Specialise in real-time Power BI dashboards, Python/SQL ETL automation, and paid media analytics (Meta, Google). Known for reducing reporting turnaround from days to hours and translating data into actionable decisions for marketing and leadership teams. Currently open to Senior Analyst, Growth Analytics, or Product Analyst roles in Mumbai.

Skills & Expertise (17)

Power BI Advanced

8.0/10

Years Exp

Cohort Analysis Advanced

8.0/10

Years Exp

KPI Dashboards Advanced

8.0/10

Years Exp

Advanced Excel Advanced

8.0/10

Years Exp

SQL Advanced

8.0/10

Years Exp

Google Analytics Intermediate

7.5/10

Years Exp

ChatGPT Intermediate

7.5/10

Years Exp

Claude Intermediate

7.5/10

Years Exp

ETL automation Intermediate

7.5/10

Years Exp

Python Intermediate

7.5/10

Years Exp

ROAS Intermediate

7.0/10

Years Exp

AOV Intermediate

7.0/10

Years Exp

A/B testing Intermediate

7.0/10

Years Exp

Pandas Intermediate

7.0/10

Years Exp

Prompt Engineering Intermediate

7.0/10

Years Exp

NumPy Intermediate

6.5/10

Years Exp

Antigravity Beginner

2.0/10

Work Experience

Senior Data Analyst

The Good Bug

Jul 2025 - Feb 2026

Built Day-7/30/90 cohort retention dashboards for Fitterfly & Nymble, improving audience targeting accuracy by 25%. Analysed spend vs. sales across paid channels; findings drove 15% budget reallocation toward higher-ROAS channels. Created new vs. returning customer pipeline delivering weekly insights to Marketing & Leadership — reduced time-to-insight from 3 days to same-day. Designed custom Claude & ChatGPT prompt frameworks to auto-generate weekly performance commentary, saving 5+ hours/week on reporting.

Data Analyst

Pep Technologies (mCaffeine & Hyphen)

Apr 2023 - Jul 2025

Built Power BI dashboards for real-time D2C KPIs (CAC, CPT, AOV) — adopted as primary reporting tool by Leadership within 2 months. Automated Python + SQL ETL pipelines integrating Shopify, Meta, Google Ads & affiliate data, cutting turnaround from 2 days to 4 hours (30% effort reduction). Automated Meta & Google Ads data ingestion via Python APIs, saving 10+ hours/week of manual data work. Forecasted P&L metrics aligned with performance trends, reducing budget variance by 20% QoQ. Leveraged AI-assisted workflows (Claude, ChatGPT) to speed up root cause analysis and generate first-draft performance narratives for stakeholder decks. Analysed retention & conversion funnels to identify drop-off points, directly informing creative and targeting strategy to improve cohort LTV.