Product Analytics Lead

Confidential; Taguig; Hybrid; PHP 1,800,000 - 2,800,000; Full time

Job summary

Confidential seeks a Product Analytics Lead in Manila, Philippines (Hybrid) to drive data-driven product and commercial decisions using advanced analytics, AI-assisted insights, and performance management. You will partner with Product, Commercial, Marketing, Finance, and Operations to uncover revenue growth, optimize pricing, and improve customer experiences across channels.

The role blends business analytics with AI-powered tools (SQL, Python, Power BI, APIs, LLMs) to automate reporting,

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, CS, Data Science, Analytics, Engineering, or related field.
• Postgraduate qualification in Analytics, Data Science, Business Administration, or similar discipline is an advantage.
• 5+ years of experience in Product Analytics, Business Analytics, Revenue Analytics, Commercial Analytics, or Data Analytics.
• Experience delivering recommendations that influenced product, pricing, or commercial decisions.
• Experience working in cross-functional and matrix organizations.

Responsibilities

• Analyze product, service, and channel performance against revenue, profitability, and customer engagement targets.
• Identify revenue growth opportunities, pricing optimization initiatives, and areas of revenue leakage.
• Develop KPI frameworks, dashboards, and performance scorecards for product leadership.
• Build business cases, forecasts, and financial models to support product and commercial decisions.
• Conduct root cause analysis and recommend corrective actions to improve performance.
• Translate business requirements into analytical solutions and reporting frameworks.
• Extract, transform, and analyze data from databases, APIs, data warehouses, and external sources.
• Develop and maintain complex SQL queries, Python scripts, and automated reporting solutions.
• Ensure data accuracy through validation, reconciliation, documentation, and quality controls.
• Collaborate with Data Engineering teams to enhance data pipelines and governance processes.
• Utilize AI tools to accelerate analysis and reporting.

Skills

Analytical thinking

Business acumen

Communication

Stakeholder management

Independence

Learning mindset

Education

Bachelor's degree in Statistics or related field

Postgraduate qualification in Analytics/Data Science (advantage)

Tools

SQL

Python

Power BI

APIs

LLMs

Cloud platforms (Azure/AWS)

Job description

Product Analytics Lead

Manila, Philippines (Hybrid)

Reporting To

Head of Product Management / Director, Product Management

Job Purpose

The Product Analytics Lead is responsible for driving data-driven product and commercial decisions through advanced analytics, AI-assisted insights, and performance management. This role partners with Product, Commercial, Marketing, Finance, and Operations teams to identify revenue growth opportunities, optimize pricing and customer experience, and improve product performance across channels.

As a senior individual contributor, the role combines business analytics expertise with modern AI-powered tools, leveraging SQL, Python, Power BI, APIs, and Large Language Models (LLMs) to automate reporting, analyze customer behavior, and generate actionable recommendations that improve business outcomes.

Key Responsibilities

Product & Commercial Performance Analytics

• Analyze product, service, and channel performance against revenue, profitability, and customer engagement targets.


• Identify revenue growth opportunities, pricing optimization initiatives, and areas of revenue leakage.


• Develop KPI frameworks, dashboards, and performance scorecards for product leadership.


• Build business cases, forecasts, and financial models to support product and commercial decisions.


• Conduct root cause analysis and recommend corrective actions to improve performance.

Data Management & Analytics

• Translate business requirements into analytical solutions and reporting frameworks.


• Extract, transform, and analyze data from databases, APIs, data warehouses, and external sources.


• Develop and maintain complex SQL queries, Python scripts, and automated reporting solutions.


• Ensure data accuracy through validation, reconciliation, documentation, and quality controls.


• Collaborate with Data Engineering teams to enhance data pipelines and governance processes.

AI-Powered Analytics & Automation

• Utilize AI tools such as Microsoft Copilot, ChatGPT, Claude, and other LLM platforms to accelerate analysis and reporting.


• Build AI-assisted workflows that automate recurring analytics and business reporting.


• Apply LLMs to analyze customer feedback, surveys, support tickets, and cancellation reasons.


• Validate AI-generated outputs and maintain appropriate governance and quality standards.


• Continuously evaluate emerging AI technologies and recommend practical use cases.

Experimentation & Insights

• Design, execute, and evaluate A/B tests and product experiments.


• Measure the effectiveness of product enhancements, pricing changes, and customer experience initiatives.


• Establish success metrics and monitor post-launch performance.


• Present insights, trends, and recommendations to senior stakeholders.

Stakeholder Management

• Partner with Product, Marketing, Operations, Finance, and Commercial teams to solve complex business challenges.


• Translate technical findings into clear business recommendations.


• Influence decision-making through data storytelling, dashboards, and executive presentations.


• Prioritize analytical initiatives based on business value and strategic impact.

Qualifications

Education

• Bachelor's Degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Business Analytics, Engineering, or related field.


• Postgraduate qualification in Analytics, Data Science, Business Administration, or a similar discipline is an advantage.

Experience

• 5+ years of experience in Product Analytics, Business Analytics, Revenue Analytics, Commercial Analytics, or Data Analytics.


• Proven experience delivering recommendations that influenced product, pricing, or commercial decisions.


• Experience supporting digital products, e-commerce platforms, SaaS products, or technology-enabled services is preferred.


• Experience working in cross-functional and matrix organizations.

Technical Skills

• Advanced SQL (CTEs, Window Functions, Query Optimization).


• Strong Python skills for data extraction, automation, statistical analysis, and API integration.


• Advanced Power BI and Excel capabilities.


• Experience with AI tools and coding assistants such as Microsoft Copilot, Claude, ChatGPT, or GitHub Copilot.


• Knowledge of statistical analysis, experimentation, forecasting, and predictive modeling.


• Familiarity with cloud platforms and data warehouses (Azure, AWS, Snowflake, Databricks, BigQuery) is an advantage.

Competencies

• Strong analytical and critical thinking skills.


• Commercial and business acumen.


• Excellent communication and data storytelling abilities.


• Strong stakeholder management and influencing skills.


• High level of accountability and ability to work independently.


• Continuous learning mindset, particularly in AI and analytics technologies.