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PT CLIK seeks a Product Analytics Manager to drive analytics for product performance, customer insights, and commercial viability. You will lead KPI development, executive reporting, and data-driven decision making across multiple product lines.
You will collaborate with Product Managers, IT, Finance, and Compliance to ensure governance, data quality, and impactful insights that influence the product roadmap and strategy.
Develop and maintain analytical frameworks to monitor product adoption, customer utilization, revenue, profitability, retention, feature utilization, engagement, growth, and product lifecycle performance.
Analyze product performance trends and identify opportunities for continuous product improvement.
Provide data-driven recommendations to improve product performance and customer value.
Develop, define, and monitor product KPIs, including Product Revenue, Customer Adoption, Active Users, API Utilization, Portfolio Growth, Customer Retention, Customer Satisfaction, Product Margin, Time-to-Market, Product Defect Trends, and Product SLA Performance.
Develop and maintain executive dashboards for Product leadership.
Ensure consistency and accuracy of KPI definitions, measurements, and reporting.
Analyze customer behavior, product usage trends, market demand, industry benchmarks, customer feedback, sales trends, product profitability, and pricing effectiveness.
Translate analytical findings into actionable business and product recommendations.
Develop recurring and ad-hoc analysis to support strategic decision-making.
Partner with Product Managers to evaluate new product concepts and enhancements.
Develop business cases and assess commercial viability of new products and features.
Analyze feature performance and customer acceptance.
Support product backlog prioritization based on data and business impact.
Provide analytical input for product roadmap and future product initiatives.
Support data-driven product management throughout the product lifecycle.
Conduct portfolio assessments across Credit Report Products, Credit Scores, Alternative Data Products, Fraud Prevention Solutions, Portfolio Monitoring Services, API Products, Decision Support Products, and Digital Credit Bureau Services.
Analyze product contribution to corporate strategy, revenue, profitability, and customer value.
6. Customer Analytics
Conduct customer segmentation, customer journey analysis, usage pattern analysis, feature adoption analysis, churn analysis, retention analysis, Customer Lifetime Value (CLV), and customer satisfaction analysis.
Identify behavioral trends and opportunities to improve customer experience and product value.
Provide recommendations to improve customer retention and engagement.
7. Market & Competitive Analytics
Conduct competitive benchmarking, pricing analysis, market trend monitoring, and industry analysis.
Assess product positioning and market opportunities.
Evaluate potential new product opportunities based on market and customer insights.
Support strategic product planning through market intelligence.
8. Executive Reporting
Develop executive dashboards covering product KPIs, revenue, portfolio performance, customer insights, product utilization, product growth, commercial performance, and strategic initiatives.
Prepare monthly executive reports and performance reviews for Product leadership.
Present analytical findings and recommendations to relevant stakeholders.
9. Cross-Functional Collaboration
Collaborate with Product Managers, Analytics & POC Support, Ecosystem Data & Partnership, Business Development, Presales & Solutions, IT, Finance, Credit Bureau Operations, and Legal & Compliance teams.
Ensure analytical insights are incorporated into product development, commercial strategy, and business decisions.
10. Product Governance & Regulatory Compliance
Ensure analytical activities comply with applicable OJK regulations for LPIP, POJK and SEOJK, UU No. 27 Tahun 2022 on Personal Data Protection, internal information security policies, data governance frameworks, product governance standards, and risk management requirements.
Support audit readiness and regulatory reviews related to product analytics and data usage.
11. Data Quality & Analytics Governance
Validate product data integrity and monitor data quality.
Standardize analytical methodologies and reporting practices.
Maintain and govern product KPI definitions.
Ensure dashboard and analytical output accuracy.
Coordinate with IT and relevant stakeholders on data governance and data quality improvements.
Identify opportunities for product enhancement through data and customer insights.
Measure the success and business impact of product innovations.
Evaluate opportunities involving AI, Machine Learning, alternative data, and ecosystem-enabled products.
Monitor emerging technologies, industry trends, and market developments.
Improve analytical methodologies, reporting automation, dashboard capabilities, and product performance measurement.
Supervise and provide direction to Product Analytics Associates.
Review analytical reports and ensure quality of deliverables.
Mentor and develop junior analysts.
Build analytical capabilities and promote best practices across Product and Analytics teams.
Facilitate knowledge sharing and continuous improvement within the team.
The Product Analytics Manager is authorized to:
Develop and maintain product KPI frameworks.
Recommend product improvements based on analytical findings.
Lead product performance reviews.
Coordinate analytical activities with Product Managers and relevant stakeholders.
Review and approve routine analytical reports before submission to the Head of Analytics.
Recommend analytical priorities for product enhancement initiatives.
The position is not authorized to:
Commit commercial agreements.
Submit regulatory reports independently.
Education
Bachelor's Degree (S1) in Statistics, Data Science, Computer Science, Information Systems, Economics, Finance, Mathematics, Industrial Engineering, Business Analytics, or related disciplines.
Master's Degree (S2) is an advantage.
Professional Experience
Minimum 6–8 years of relevant experience in Product Analytics, Business Intelligence, Data Analytics, Financial Services, Banking, Credit Bureau, Fintech, or Product Performance Analysis.
Minimum 2 years of experience leading product analytics, business intelligence, or data analytics initiatives.
Proven experience in product performance analysis, portfolio analytics, customer analytics, and business intelligence.
Experience supporting digital product management and product lifecycle management.
Experience working with enterprise data warehouses and BI platforms.
Experience in developing executive dashboards and data-driven management reports.
Experience in an OJK-regulated financial institution, banking, fintech, or credit bureau environment is highly preferred.
Technical & Analytical Skills
Strong proficiency in data analysis, statistical analysis, and business intelligence.
Strong experience with BI and data visualization tools such as Power BI, Tableau, Looker, or equivalent.
Strong SQL and data querying skills.
Ability to work with enterprise data warehouses and large, complex datasets.
Understanding of product KPI frameworks, customer analytics, product profitability, and portfolio performance.
Knowledge of data governance, data quality, and analytical methodology standards.
Familiarity with AI/ML applications, alternative data, and digital product analytics is an advantage.
Business & Product Skills
Strong understanding of product management and product lifecycle.
Ability to translate complex data and analytical findings into actionable business recommendations.
Strong commercial and business acumen.
Understanding of customer behavior, product adoption, retention, pricing, and product profitability.
Ability to conduct market, competitive, and industry analysis.
Experience developing business cases and supporting product strategy is preferred.
Proven ability to lead analytics initiatives and manage analytical deliverables.
Strong stakeholder management and cross-functional collaboration skills.
Ability to communicate analytical insights effectively to both technical and non-technical stakeholders, including senior management.
Strong problem-solving, critical thinking, and decision-making skills.
High attention to detail and strong commitment to data accuracy and governance.
Hirer responsiveness Salary match Number of applicants
Your application will include the following questions:
PT CLIK is an innovative company specializing in credit bureau, predictive analytics and decision systems; our clients are mainly finance companies, insurance companies, utilities and enterprises.
PT CLIK is an innovative company specializing in credit bureau, predictive analytics and decision systems; our clients are mainly finance companies, insurance companies, utilities and enterprises.