Ashish Silla

Analytics leader with 9+ years turning data signals into executive decisions and scalable analytics systems across B2B SaaS companies including HackerRank, Razorpay, and BukuWarung. At HackerRank, shapes quarterly board-facing product narratives, partners with 10+ PMs across 6+ product pods, and builds reusable analytics foundations — from instrumentation design to AI-assisted reporting pipelines. Earlier, joined BukuWarung as the first product analyst, established analytics across 3 product tribes, and led a 5-analyst task force.

Brings deep SQL fluency and product instrumentation depth, with a strong bias for action on complex cross-team work. Seeking an Analytics Manager or Analytics Lead role focused on building scalable analytics systems, mentoring analysts, enabling analytics teams, and turning product data into better strategic decisions.

Product Analytics Lead at HackerRank (2023-06 – Present)

• Improved AI analytics reliability by validating analyses from HackerRank’s internal agent before delivery, identifying 10+ recurring query-logic and data-definition defects, and merging 5 pull requests that converted one-off corrections into reusable agent knowledge. Contributed to team-wide first-response accuracy rising from ~77% to ~90%, while analyst intervention fell from ~75% to under 5% of threads.
• Led migration analytics across 794 customers for HackerRank’s new live-interview platform, mapping 48 feature dependencies against usage to build a self-serve phased rollout model. The analysis shaped executive roadmap decisions to prioritize audio/video and data-science support, defer low-demand mobile workflows, and classify 600 customers as ready for the initial migration phase.
• Improved coverage for HackerRank’s premium AI Scorecard Assist feature by diagnosing four non-generation blockers: missing transcripts, unsupported question types, incompatible video infrastructure, and insufficient interview data.

Aligned

Product, Engineering, Operations, and customer teams on fixes that raised coverage from ~7% to 21% and migrated 312 companies off unsupported video infrastructure.

• Built a scenario-based demand forecast for a Zoom renewal, modeling four years of monthly interview volume, audio/video adoption, and seasonality across low, base, and high cases spanning 66K–153K annual calls. The forecast showed the busiest month would require 58% more capacity than the quietest, helping Finance structure a $65K annual commitment for 77K usage credits, with flexible top-ups and a 15% vendor discount that reduced prepaid cost by $11.6K.
• Cut reporting runtime from hours to minutes by leading a 2-month AI Add-Ons analytics modernization with Data Engineering, converting unstable Redshift/Trino reporting logic into validated staging and pre-aggregation layers; critical runs fell from 1+ hour/failures to under 2 minutes and passed 9/9 feature checks before automation handoff.
• Productized AI-assisted instrumentation planning by turning ambiguous product questions into repo-aware telemetry plans, tracking contracts, validation checks, and PR-ready implementation guidance; partnered with engineering to prove the workflow across 8 merged frontend-core PRs covering ~42 custom events and ~61 tags across 5 product surfaces.

Senior Product Analyst at BukuWarung (2022-04 – 2023-05)

• Joined as the first Product Analyst, building analytics foundations across 3 product tribes (B2B Commerce, Merchant Experience, Growth). Led a 5-analyst task force guiding release monitoring, impact analysis, and Amplitude funnel work while owning data requests, deadline accountability, and output quality review.
• Set up and monitored funnel measurement for BukuWarung’s merchant-lending KYC flow, partnering with Engineering to instrument Amplitude events/properties. Tracked step-wise drop-offs, partner-bank cohorts, KYC completion time, and pre/post impact of a bank process change.
• Designed complex SQL dimensional models for BukuWarung's Loyalty & Referral system (loyalty_ssot), mapping daily BukuXP scores, cashback earnings, tier changes, and revenue-sharing across the merchant base. Created the Single Source of Truth powering downstream funnel and cohort analyses.

Product Analyst – Buyer Experience & Payments at Razorpay (2019-07 – 2022-04)

• Designed and executed 7 A/B experiments on checkout flows including Vernacular Checkout, M2M Rewards, and Personalization V2, partnering with product and marketing. Delivered an ~8% checkout conversion lift and halted a QR-code experiment after proving negative downstream effects on UPI payments.
• Executed a bulk-enablement GTM strategy for Paylater and cardless EMI products, building Looker adoption funnels and target merchant cohorts. Scaled enabled merchants from 5% to ~90%, driving 208% GMV growth (INR 61Cr) and 236% monthly transacting users (MTU) growth in one campaign cycle.
• Initiated and led the checkout data normalization project (reporting to Director of Analytics), designing an optimized data model for large-scale clickstream events that improved query scalability and analysis speed.

Associate Domain Consultant – Analytics at Kantar Analytics (Analytics Quotient) (2018-08 – 2019-07)

• Streamlined and automated CRM report generation, achieving a 70% reduction in turnaround time and enabling stakeholders to react faster to campaign performance trends.

Senior Associate Consultant – Business Analysis & Reporting at Infosys (2016-06 – 2018-08)

• Built a live-tracking Tableau manufacturing dashboard from scratch using Oracle DB, improving plant supervisors' efficiency by 30% by simplifying daily workforce management — awarded Infosys Spot Award for Autonomy & Ownership.

Master of Business Administration (MBA) in Operations Management – Symbiosis Institute of Operations Management, Nashik (2014-05 – 2016-05)

Integrated Masters (B.E + M.E) in Mechanical Engineering – Andhra University College of Engineering, Visakhapatnam (2009-05 – 2014-03)