Saurabh Soni profile photo 1 on Tal

Saurabh Soni

Open for senior analytics role

Gurugram

5+ years of work experience

FinBox
Nov 202511 mosPresent

Leading analytics team that partners with cross-functional teams (product, engg., customer success) and enterprise fintech clients to transform alternative data into actionable insights, improving credit risk assessment.
Razorpay
Jun 20248 mosJan 2025

Bangalore Urban

Led the product and marketing analytics team that focused on optimizing merchant onboarding by analysing the journeys and service enquiries.
Writesonic
Mar 20239 mosNov 2023

Remote

Helping the team to setup analytics infrastructure for product, marketing, and financial analytics
OLX Autos
Dec 20212 yrs 6 mosMay 2024

Hybrid

Led a team of 8 members that helps the business to optimize marketing budgets, and to understand the impact of marketing down the funnel to procurement ▪ Provide end to end visibility of the conversion flow across all channels paid, CLM, self-inspection, organic etc which enabled marketing team at all levels to understand the Investment Vs Conversions Vs Margins and to take data driven decisions to optimise the marketing spends Enabled a city, campaign, and keyword level view which will help the marketers to drill down into issues if the marketing objectives are not met ▪ Helped in creating a central reporting system which gave the senior leadership a view of business health metrics and is currently being used for weekly/monthly business reviews with country leaders ▪ Working on market mix model to understand the impact of digital and offline marketing campaigns on the business, currently the results are being tested for couple of cities of India
ZEE5
Aug 20201 yr 4 mosNov 2021

Mumbai

Helping the AVOD team with customer analytics. User to Viewer conversion – Helped the AVOD business to improve on the dropping points of users before converting to a viewer from two perspectives: User Interaction such as acquisition channel, interaction with the platform, content consumption, and viewing habits and User Experience such as Quality of experience, Ads, notifications etc. Recommendation of this analysis helped in improving the viewer to users’ ration improve by 20% Optimizing Pre-roll Ads – Experimented 1 pre-roll, skip ad pre roll, and no pre roll across all the AVOD content to understand the impact on different category of AVOD users and their viewership across all platforms. Based on the the recommendation AVOD business was able to improve the play% by ~8% Reporting – Created a unified dashboard which helps the AVOD business to understand QoE metrics, daily and weekly trends of health metrics, and an automated report for partners Customer lifetime value - Helped the AVOD business to understand life and lifetime value of a user across platform, channel of acquisition etc. Improvement in discoverability of News – To drive of News viewership, various experiments were done on high traffic pages of the platforms. The analysis of these experiment helped in deciding the placement and timing of News rail on Zee5 home page

Saurabh’s AI Stack

ChatGPT
ChatGPT

Education

Maharashtra Institute of Technology

Bachelor of Engineering (B.E.), Electronics & Telecommunications

Maharashtra Institute of Technology

20074 yrs2011
MIT College of Management Pune

Bachelor of Engineering, Electrical, Electronics and Communications Engineering

MIT College of Management Pune

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Headline

Open for senior analytics role

About

At Razorpay, our team focuses on driving data-informed strategies that optimise on acquisition and onboarding of the merchants. Our efforts enable stakeholders to make precise, impactful decisions, bolstering product improvements and marketing efficiency and overall business health. Previously at OLX Autos, our team's leadership in analytics played a pivotal role in developing a central reporting system that provided senior leadership with critical insights into business metrics. We cultivated an environment that empowers marketers with granular campaign and city-level data, promoting accountability and fostering an ethos of continuous improvement.

Location

Gurugram

AI stack

ChatGPT

Work experience

Analytics Manager at FinBox, Nov 2025 - Present · 11 mos, Leading analytics team that partners with cross-functional teams (product, engg., customer success) and enterprise fintech clients to transform alternative data into actionable insights, improving credit risk assessment.

Senior Manager II - Analytics at Razorpay, Jun 2024 - Jan 2025 · 8 mos, Bangalore Urban, Led the product and marketing analytics team that focused on optimizing merchant onboarding by analysing the journeys and service enquiries.

Analytics Consultant at Writesonic, Mar 2023 - Nov 2023 · 9 mos, Remote, Helping the team to setup analytics infrastructure for product, marketing, and financial analytics

Analytics Lead at OLX Autos, Dec 2021 - May 2024 · 2 yrs 6 mos, Hybrid, Led a team of 8 members that helps the business to optimize marketing budgets, and to understand the impact of marketing down the funnel to procurement ▪ Provide end to end visibility of the conversion flow across all channels paid, CLM, self-inspection, organic etc which enabled marketing team at all levels to understand the Investment Vs Conversions Vs Margins and to take data driven decisions to optimise the marketing spends Enabled a city, campaign, and keyword level view which will help the marketers to drill down into issues if the marketing objectives are not met ▪ Helped in creating a central reporting system which gave the senior leadership a view of business health metrics and is currently being used for weekly/monthly business reviews with country leaders ▪ Working on market mix model to understand the impact of digital and offline marketing campaigns on the business, currently the results are being tested for couple of cities of India

Associate Director - Customer Analytics at ZEE5, Aug 2020 - Nov 2021 · 1 yr 4 mos, Mumbai, Helping the AVOD team with customer analytics. User to Viewer conversion – Helped the AVOD business to improve on the dropping points of users before converting to a viewer from two perspectives: User Interaction such as acquisition channel, interaction with the platform, content consumption, and viewing habits and User Experience such as Quality of experience, Ads, notifications etc. Recommendation of this analysis helped in improving the viewer to users’ ration improve by 20% Optimizing Pre-roll Ads – Experimented 1 pre-roll, skip ad pre roll, and no pre roll across all the AVOD content to understand the impact on different category of AVOD users and their viewership across all platforms. Based on the the recommendation AVOD business was able to improve the play% by ~8% Reporting – Created a unified dashboard which helps the AVOD business to understand QoE metrics, daily and weekly trends of health metrics, and an automated report for partners Customer lifetime value - Helped the AVOD business to understand life and lifetime value of a user across platform, channel of acquisition etc. Improvement in discoverability of News – To drive of News viewership, various experiments were done on high traffic pages of the platforms. The analysis of these experiment helped in deciding the placement and timing of News rail on Zee5 home page

Education

Bachelor of Engineering (B.E.), Electronics & Telecommunications, Maharashtra Institute of Technology

Bachelor of Engineering, Electrical, Electronics and Communications Engineering, MIT College of Management Pune