Description :

Senior Product Analyst

Experience : 4 to 6 Years

Industry : Product Technology / E-commerce / SaaS

Role Summary :

We are seeking a high-caliber Senior Product Analyst to drive data-informed decision-making across our product ecosystem.

In this role, you will act as a "Product Intelligence Lead," responsible for transforming raw data into strategic insights through advanced SQL mastery, sophisticated A/B testing, and automated data pipelines.

You will bridge the gap between user behavior and business growth by designing rigorous experiments and building complex, self-service Tableau dashboards.

The ideal candidate is a critical thinker who can simplify high-dimensional problems, perform deep-dive root-cause analyses, and communicate technical findings to stakeholders with clarity and impact.

Responsibilities :

- Advanced Data Extraction & Synthesis : Utilize mastery-level SQL to query massive datasets, performing complex joins and window functions to extract granular product insights.

- Product Experimentation (A/B Testing) : Lead the end-to-end experimentation lifecycle, from power analysis and hypothesis generation to interpreting statistical significance and primary/secondary metric impact.

- Python-Driven Analysis : Leverage Python (Pandas, NumPy) for advanced statistical modeling, data cleaning, and automating repetitive analytical tasks.

- Self-Service Analytics Architecture : Design and maintain complex Tableau dashboards and underlying data pipelines that empower product managers to perform independent data discovery.

- Root-Cause & Deep-Dive Analysis : Structure and simplify complex business questions, leveraging data to perform root-cause analysis on fluctuating product KPIs.

- Metrics Definition & Governance : Define and track North Star metrics, ensuring data accuracy and consistency across all product reporting layers.

- Stakeholder Storytelling : Translate high-dimensional data and experiment results into actionable business recommendations for non-technical leadership in fluent English.

- Cross-Functional Collaboration : Partner closely with Product, Engineering, and Design teams to influence product roadmaps through data-backed evidence.

- Data Pipeline Optimization : Collaborate with Data Engineering to optimize data schemas and pipelines for faster, more reliable reporting.

Technical Requirements :

- SQL Mastery : Expert-level proficiency in writing highly optimized SQL for large-scale data analysis.

- Statistical Rigor : Hands-on experience with experimentation concepts, including power analysis, p-values, and confidence intervals in a product setting.

- Visualization Expertise : Proven ability to build complex, automated dashboards in Tableau.

- Programming : Strong proficiency in Python for data manipulation and statistical analysis.

- Analytical Thinking : Strong ability to structure ambiguous problems and leverage data for solution-building.

Preferred Skills :

- Advanced Statistics : Knowledge of Bayesian experimentation or Causal Inference is a significant plus.

- Product Tooling : Familiarity with event-tracking tools like Amplitude, Mixpanel, or Google Analytics 4.

- ETL Knowledge : Experience with dbt (data build tool) or Airflow for managing data transformation layers.

Core Competencies :

- Critical Problem Solving : Excellence in deconstructing "the why" behind user behavior changes.

- Communication Excellence : High fluency in English with the ability to present complex data stories effectively.

- Result Driven : A focus on moving beyond reporting to drive tangible improvements in product KPIs.

- Collaborative Spirit : A proactive approach to working within talented, multi-disciplinary squads