Product Analyst

Key Responsibilities

• Core Analysis & Insights:

  • Execute end-to-end data projects answering key business questions through robust analytical frameworks and delivering actionable insights.

  • Track and analyze user behavior across product flows (clickstream data events drop-offs conversion funnels) to identify points of friction and opportunities for improvement.

  • Conduct deep-dive analyses to support product business and growth teams including cohort analysis (LTV) advanced user segmentation pricing elasticity and demand forecasting.

• BI & Automated Reporting:

  • Build maintain and automate intuitive self-service management dashboards to track core growth metrics (user acquisition engagement retention).

  • Develop and deploy automated reporting solutions across Performance SEO ASO and CRM integrating company-wide KPIs to provide a single source of truth.

• AI & Predictive Analytics:

  • Identify and implement opportunities for AI-driven automation within the analytics workflow to improve efficiency and scale insights generation.

  • Leverage statistical methods and AI/ML techniques to identify anomalies forecast key trends and build predictive models for user churn segmentation and lifetime value.

  • Partner with product and data science teams to support the development and evaluation of new AI-powered product features.

• Experimentation & Strategy:

  • Design measure and evaluate the impact of A/B tests and growth experiments across all product verticals and payment experience.

  • Drive periodic metrics reviews with stakeholders presenting data-driven recommendations that inform the product roadmap and business strategy.

Qualifications :

• Education: Bachelors/Masters degree in Engineering Statistics Economics Data Science or a related quantitative field.

• Experience: Minimum 2 years of hands-on experience in product analytics business analytics decision sciences or a related role.

• Technical Skills:

  • Expert proficiency in SQL for complex data extraction and manipulation from large datasets.

  • Strong command of Python or R for advanced analysis statistical modeling and task automation.

  • Advanced proficiency in data visualization tools (e.g. Tableau Power BI Looker) to create impactful self-service dashboards.

  • Experience with AI tools e.g. Cursor n8n for quick prototype automation and development using AI

• Domain Knowledge:

  • Experience with product analytics and CRM/CDP tools (e.g. Google Analytics Amplitude Mixpanel Clevertap).

  • Practical experience in designing and analyzing A/B tests.

• Analytical Acumen:

  • Familiarity with statistical methods and machine learning concepts (e.g. regression classification clustering anomaly detection).

  • Excellent analytical and problem-solving skills with a proven ability to turn data into tangible business impact.

• Soft Skills:

  • Strong business acumen and a passion for understanding user behavior.

  • Excellent communication and presentation skills with the ability to explain complex analyses to non-technical stakeholders.

Additional Information :

Responsible for safeguarding sensitive company data against unauthorized access use or disclosure and for reporting any suspected security incidents in line with the organizations ISMS (Information Security Management System) policies and procedures.

Remote Work :

No

Employment Type :

Full-time