Sandip DograSenior Analytics & Data Leader

Commercial Analytics · Data Platforms · AI-Native Analytics

Sandip Dogra

Senior Analytics & Data Leader

I build analytics functions that move the P&L — governed self-serve platforms, AI-native analytics and teams that turn data into decisions.

Currently Senior Analytics Manager at Porter · previously Zepto, Meesho, Skylo, Ola

View analytics workView résuméGet in touch
Years in analytics & BI
12+
Largest analytics team built & led
26
Users on a BI platform I scaled
1,500+
KPIs unified into one source of truth
270+

Career

Twelve years, one thread: analytics that moves the business

Current role

PorterSenior Analytics Manager

Sep 2023 – Present · Bangalore

India's goods transport and logistics platform, offering intra-city and inter-city delivery and packers & movers services.

  • Lead a 14-member analytics organisation across platform, growth, finance and product analytics, accountable for hiring, capability development and delivery.
  • Introduced the Analytics Engineer function to strengthen in-house data and AI analytics capabilities.
  • Implemented Compass, an analytics capability framework standardising role expectations, progression and analytical rigor from hiring through performance assessment.
0y2y4y6y8y10y12y14yYears in analytics since 2014Ola: Associate Manager, Analytics & Category Management (Nov 2015 – Aug 2019), 3y 9m in roleOlaNov 2015 – Aug 2019Khetra Agritech: Founder, Business & Product (Aug 2019 – Feb 2020), 6m in roleKhetra AgritechAug 2019 – Feb 2020Meesho: Associate Manager, Business Intelligence (Category) (Feb 2020 – Mar 2021), 1y 1m in roleMeeshoFeb 2020 – Mar 2021Skylo: Business Analyst, Commercial & Sales (Mar 2021 – Nov 2021), 8m in roleSkyloMar 2021 – Nov 2021Zepto: Senior Data Officer (Nov 2021 – Sep 2023), 1y 10m in roleZeptoNov 2021 – Sep 2023Porter: Senior Analytics Manager (Sep 2023 – Present), 3y 1m in rolePorterSep 2023 – Present5.5y6.0y7.1y7.8y9.6y12.7y

Analytics 101

A practical guide to analytics in the flow of the business

Start the guide

Chapter 1

From data to impact

The DI-KIWI model and the four levels of analytics maturity: how data becomes a decision.

Chapter 3

The scope of analytics

Six areas of analytics: what each is for, what it drives and what it looks at.

Case studies

Selected work

All analytics work

Porter

Self-serve analytics with Metric Store

Self-serve analytics at Porter: a Metric Store and Semantic Layer

SQL-to-insight time
4d → 2h
Dashboard build time
7d → 2d
Ad-hoc report requests
−90%

Porter & Zepto

Data platform and governance

One source of truth: data platform and governance at Porter and Zepto

Data accuracy (Zepto)
+40%
Source of truth across all business lines (Porter)
1

Zepto

BI platform at scale

BI platform at scale: 1,500+ users and 270+ KPIs at Zepto

Platform users
1,500+
Standardized KPIs
270+
Data accuracy
+40%

Building or scaling an analytics function?

Let’s talk about building your team, making business metrics reliable or improving access to analytics.

Get in touchView résuméLinkedIn