Headline

Senior Product Analyst @ Hiver | B2B SaaS Product Analytics | Retention, Activation & Funnel Analysis | Amplitude, SQL, Python | Ex-HackerRank | IISc

About

I help B2B SaaS teams make product decisions they can defend with data. I'm a Senior Product Analyst at Hiver, and over 6 years across Mu Sigma, Impact Analytics, HackerRank and Hiver I've worked across the full analytics stack: instrumentation, data modeling, dashboards, and the meeting where the decision actually gets made. My path is a little unusual for an analyst. I started in data science, spent two years building a pricing optimization engine as an engineer, and then moved into product analytics. So I don't stop at the dashboard. I can design the tracking plan, build the pipeline and the model, and then sit with a PM to work out what we should do next. What that looks like in practice: • Own product analytics for Hiver's two product lines in Amplitude, from event taxonomy to access governance • Automated HackerRank's Community Weekly Business Review, from Redshift to Metabase, used by Product and GTM leadership every week • Built a 12-week cohort retention model for Prep Kit, segmented by plan, region and acquisition channel • Found and fixed a signup attribution bug that was distorting reported acquisition trends • Designed an LLM evaluation framework (Pass@1 / Pass@N) for an internal text-to-SQL analytics agent • Cut compute time by 25% on a pricing engine by automating instance scaling How I work: North Star and input metric trees, activation and time-to-value, cohort and funnel analysis, SaaS revenue metrics (MRR, NRR, churn), and tracking plans that keep data trustworthy at the source. Toolkit: SQL, Python, Amplitude, Metabase, Superset, Redshift, Trino, FastAPI, HubSpot, ChartMogul. I hold a PG Level Advanced Certification in Computational Data Science from IISc Bangalore. The part of the job I like most is when a stakeholder asks a question and the data gives an answer that surprises them, and then we do something with it. I believe the best analysts make non-data people feel like data people. Open to Senior and Lead Product Analyst roles in B2B SaaS, where analytics sits close to the product and the people building it.

Location

Greater Bengaluru Area

AI stack

claude code

claude

gemini

mcp

openai

Wispr Flow

Work experience

Senior Product Analyst at Hiver, Jun 2026 - Present · 5 mos, Greater Bengaluru Area, Hiver is a B2B SaaS customer service platform. I own product analytics across both of its products, from how usage is tracked to the dashboards Product, Customer Success and leadership use to make decisions. • Gave Product and Customer Success account-level usage data for the first time: worked with engineering to tie every product event to the customer's account, plan and revenue, so teams can compare usage by plan and account size. • Moved company reporting onto one BI platform (Metabase) on a new data warehouse, running it alongside the old dashboards until the numbers matched. Rebuilt the account health dashboard Customer Success uses with clients and the executive revenue dashboard (ARR, expansion, churn). • Caught a pipeline bug that had silently frozen 15 months of revenue history for every customer, after it put wrong numbers in an executive report. Defined the fix and validated it against the billing system: daily revenue now matches to within 0.04%. Also found duplicate records inflating revenue by 4.5%. • Built a standard adoption funnel (engaged, activated, adopted) for new feature launches, showing where accounts drop off, so PMs read every launch the same way. • Ran the first in-app NPS survey on one of the products: diagnosed why it wasn't reaching users, fixed the targeting, and turned the feedback into a prioritized list of usability and AI gaps for Product. • Documented all 163 warehouse tables in a catalog written to double as context for AI assistants, and use AI agents to automate data checks, access requests and stakeholder updates.

Product Analyst II at HackerRank, Mar 2025 - Jun 2026 · 1 yr 4 mos, Bengaluru, Karnataka, India, • Automated the Community Weekly Business Review: built the pipeline from Redshift to staging tables to Metabase, replacing 5 hours a week of manual reporting with a self-serve dashboard used by Product and GTM leadership • Caught a signup attribution bug that was producing incorrect acquisition trends in leadership reporting; rebuilt source classification with UTM parsing and GDPR-compliant IP-to-country mapping, taking "unknown" source users from 30% to 0 • Built a 12-week cohort retention model for Prep-kits across submissions, mock tests, mock interviews and certifications, segmented by paid vs free, region, acquisition channel and plan; used to identify the activation action that best predicts week-4 retention • Analyzed engagement and retention KPIs for 27.4M registered and 3.5M active developers by region and segment; the insights deck informed H1 2026 planning and product positioning • Designed an LLM evaluation framework for HackerRank's internal text-to-SQL analytics agent, scoring Business Alignment, Functional Correctness and Interpretability with Pass@1 / Pass@N; findings drove the AI team's fixes for ambiguous business questions

Software Engineer at Impact Analytics, Jan 2024 - Mar 2025 · 1 yr 3 mos, Hybrid, • Built the backend (Python, FastAPI) of a price and promotion optimization product that lets retail clients simulate revenue and margin impact before launching a promotion • Shipped goal-based promotion planning: users set revenue, margin or unit targets, and the engine finds the discount depth that hits them using historical sales response • Re-architected the pricing engine to stop scaling with RAM; wrote it up in "Stop Scaling with RAM"

Senior Business Analyst at Impact Analytics, Jan 2023 - Jan 2024 · 1 yr 1 mo, Bengaluru, Karnataka, India, • Led the integration of multi-level optimization (MLO) into the pricing tool so clients could optimize for revenue, margin, margin % or units; adopted by 7 enterprise retail clients • Redesigned the data pipeline to absorb the added computational load of MLO. Runtime held at ~3 mins; no SLA breaches

Business Analyst at Impact Analytics, Apr 2022 - Dec 2022 · 9 mos, Bengaluru, Karnataka, India, • Cut compute time by 25% by automating start, stop and right-sizing of high-memory instances based on task complexity thresholds

Data Scientist at Mu Sigma Inc., Jan 2021 - Apr 2022 · 1 yr 4 mos, Bengaluru, Karnataka, India, • Ran the exploratory analysis that surfaced 2 new data sources for an insurance claims fraud detection model, improving flag rate • Built and maintained Jenkins pipelines for the production fraud detection system with the tech lead • Designed an end-to-end ETL into a cloud data warehouse for General Insurance Code of Practice (GICOP) regulatory reporting on vulnerable-customer protections; recognized with a Spot Award

Apprentice at Mu Sigma Inc., Sep 2020 - Dec 2020 · 4 mos, Bengaluru, Karnataka, India, Trained in SQL, statistics and business problem-solving; moved to Data Scientist in 4 months

Education

PG Level Advanced Certification Programme in Computational Data Science, Indian Institute of Science (IISc)

Bachelor of Technology - BTech, Computer Science, GITAM Deemed University

Public links

medium: https://medium.com/@hareeshwar98