Senior Product Analyst

This is a fully remote position, open to applicants in India.

📋 Description

• Collaborate with Product Managers to shape roadmap priorities by utilizing structured problem framing and opportunity sizing.

• Lead comprehensive analytical exploration: formulate questions, develop hypotheses, conduct root-cause analysis, and recognize second-order effects.

• Deliver high-context, narrative-focused analyses that guide product decisions rather than merely producing dashboards or metrics reports.

• Recognize long-term analytical requirements and proactively establish the direction for product measurement.

• Manage the metric hierarchy within the product domain (north-star metrics, input metrics, counter-metrics, diagnostic metrics).

• Create tracking plans and instrumentation schemas; collaborate with engineering to ensure proper implementation.

• Set up automated alerts and monitoring to highlight health issues, funnel breaks, outliers, and behavioral changes in real-time.

• Oversee the design, execution, and interpretation of experiments (A/B tests, multivariate tests, staggered rollouts).

• Choose and apply suitable statistical techniques (frequentist/Bayesian, CUPED, time-series methods).

• Assess experiment readiness, determine necessary sample sizes, and project expected outcomes.

• Convert experiment results into clear recommendations for product and business stakeholders.

• Mentor and guide junior analysts; establish standards for analytical depth, clarity, and rigor.

• Serve as the analytical lead in cross-functional projects, ensuring alignment on metrics and success criteria.

• Influence PMs and engineers to adopt analytical best practices, proper instrumentation, and metric management.

• Convey trade-offs, risks, and insights to both technical and non-technical audiences with clarity.

• Collaborate with Analytics Engineering to ensure models, marts, and pipelines adhere to quality standards and SLAs.

• Guarantee that the product area has a comprehensive analytical environment that is well-documented, reliable, and user-friendly.

• Maintain data lineage, definitions, and documentation to reduce ambiguity and minimize analytical debt.

⛳️ Requirements

• 4-6 years of experience in product analytics, data science, or growth analytics with significant product-team involvement.

• Proven ability to impact product roadmaps with data-driven insights.

• Experience in fast-paced experimentation settings (consumer applications, fintech, SaaS, marketplaces).

• Proficient in SQL; familiarity with Snowflake or similar cloud data warehouses.

• Strong skills in experimental design and statistical analysis.

• Knowledge of event-based instrumentation and telemetry platforms.

• Competence with data visualization tools and dashboards (Looker, Metabase, etc.).

• Strong product intuition; adept at identifying friction, opportunities, and causal factors in user behavior.

• Ability to express complex or ambiguous insights through structured narratives.

• Experience analyzing systems, logs, metrics, and data models.

• Capability to work independently and drive analytical strategy for a product domain.

• Unwavering ownership and high standards.

• Customer-focused and inquisitive about system behavior.

• Comfortable making decisions amid ambiguity and incomplete data.

• Proactive rather than reactive: anticipates analytical needs before they arise.

🏝️ Benefits

• Competitive salary

• Flexible working hours

• Professional development budget

• Home office setup allowance

• Global team events