Product Analytics Lead

Confidential; Taguig; On-site; PHP 2,400,000 - 4,200,000; Full time

Job summary

Confidential in Taguig, Philippines seeks a Head of Product Management / Director of Product Management to drive data-driven decisions. You will lead product analytics and AI-powered insights across product, commercial, and marketing teams, using SQL, Python, Power BI, APIs, and LLMs to automate reporting and deliver actionable recommendations.

The role requires senior experience in product or revenue analytics with a strong business acumen and stakeholder storytelling ability to influence

Qualifications

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Responsibilities

• Analyze product, service and channel performance against revenue and engagement targets.
• Identify revenue growth opportunities and pricing optimization initiatives.
• Develop KPI frameworks, dashboards and performance scorecards for leadership.
• Build forecasts, financial models and business cases for decisions.
• Conduct root-cause analysis and recommend corrective actions.

Skills

Analytical thinking

Data storytelling

Stakeholder management

Business acumen

AI literacy

Education

Bachelor's degree in Statistics, Mathematics, Economics, CS/DS/Analytics

Postgraduate qualification in Analytics/DS/Business Admin

Tools

SQL

Python

Power BI

Excel

APIs

LLMs (AI tools)

Job description

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.
• 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.
• 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.