Product Analyst

We are looking for a Product/Data Analyst who is passionate about turning data into high-quality insights. You will work closely with our Product, GTM, Customer Success, and Leadership teams to diagnose user behavior, optimize product experiences, and support key strategic decisions. A core requirement for this role is strong hands-on experience with GCA (Google Cloud Analytics ecosystem — BigQuery, GA4, GCP analytics tools). This is a high-ownership role where your insights will directly influence product roadmap, user experience, and business growth. You will Analyze user journeys, funnels, adoption patterns, and engagement metrics across Spyne's platform. Work closely with PMs to define success metrics, track experiments, and evaluate feature performance. Build dashboards that provide visibility into product health and key KPIs. Identify friction points and growth opportunities through deep behavioral analysis. Run cohort analysis, retention studies, churn diagnostics, and performance tracking. Build models and reports that help leadership understand product and business trends. Create scalable dashboards for recurring reporting and strategic review cycles. Perform ad-hoc deep dives for high-priority problems. Use BigQuery, GA4, and GCA tools to manage and optimize Spyne's analytics stack. Own data cleanliness, tracking accuracy, and event instrumentation. Develop SQL queries, views, and data models to support analysis at scale. Partner with engineering for data pipeline improvements when required. Work with Product, Engineering, CS, GTM, and Leadership stakeholders. Translate complex analyses into simple, actionable insights. Influence roadmap priorities through data-backed recommendations.

3–5 years of experience in product analytics or data analytics. Strong hands-on experience with GCA (Google Cloud Analytics / BigQuery / GA4 / GCP analytics). Excellent SQL skills (BigQuery preferred). Understanding of product KPIs: funnels, cohorts, retention, activation, churn, experimentation. Experience using BI tools (Looker, Tableau, PowerBI, Metabase, etc.). Ability to present insights clearly to both technical and non-technical teams.