Sajad Bagheri

Leading business analysis, product, growth, and partnership initiatives for a POS/SaaS platform serving thousands of retail merchants. Launched and scaled an Android POS product, translated merchant needs into requirements, user stories, workflows, and KPIs, and coordinated PSP, BNPL, and tax-provider integrations. Used SQL, Excel, and Power BI to monitor adoption, conversion, and sales performance, helping Android POS reach ~35% of total sales.

Led strategy and data analysis for a major online job marketplace, working directly with the CEO and leadership team. Redesigned the company performance model around a North Star metric, managed OKR execution, and built KPI dashboards using SQL, Power BI, Google Sheets, and Python. Created a unified hiring dataset and probability model with >90% accuracy, helping improve data-driven decisions and contributing to ~70% YoY growth in successful hires.

Owned product, growth, analytics, and business analysis for a digital banking app backed by a major private bank. Managed roadmap, backlog, user stories, acceptance criteria, UAT, and API requirements for onboarding, transfers, referrals, KYC, PSP integrations, and transaction flows. Used Oracle SQL, dashboards, funnel, cohort, and retention analysis to improve journeys, scaling users from 200K to 400K in ~9 months while increasing DAU by 50% and doubling MAU.

Owned marketplace performance for Snappfood’s pharmacy vertical across 4 cities and 200+ pharmacy partners, covering supply, demand, logistics, vendor quality, customer experience, and regulatory constraints. Defined KPIs, analyzed marketplace behavior with SQL and Excel, built vendor performance reports, and identified bottlenecks in fulfillment, pricing, and campaigns. Doubled daily orders from ~200 to ~400 within 6 months while improving operational visibility and stability.

Owned analytics, growth, geographic expansion, and process improvement for Snappfood’s Sweet & Bakery vertical. Introduced KPI and OKR frameworks, used SQL and BI reporting to analyze city performance, customer behavior, campaigns, retention, conversion, and supply-demand gaps. Built financial models for CAC/CLV, campaign incrementality, and cannibalization. Scaled daily orders from ~3,000 to ~13,000 and expanded the vertical from 1 city to 10+ cities.

Designed KPI systems and performance frameworks for early marketplace verticals, vendor performance, delivery operations, and customer experience. Wrote user stories, acceptance criteria, and functional/non-functional requirements for ETA prediction and fleet-management initiatives. Defined data and API requirements with product, engineering, data science, and operations teams. Supported ETA recalibration, helping maintain ~80% on-time delivery accuracy, and contributed to the rapid launch of the pharmacy.