Product Analytics and Insights Lead

1 day ago

Manila, National Capital Region, Philippines Maya Full time $104,000 - $130,878 per year

Overview:

As a
Product Analytics and Insights Lead
at Maya, you will leverage data-driven insights to shape product strategies that enhance user experience and drive business growth. You're a highly analytical and detail-oriented individual who will play a crucial role in driving data-driven decision-making by analyzing product performance, gathering insights, and identifying opportunities for improvement.

What you will do:

  • Collaborate with product managers, designers, and developers to define, track, and evaluate key performance metrics for Maya's products and services.
  • Analyze user behavior and product usage data to identify trends, pain points, and opportunities for enhancement.
  • Conduct market research and competitor analysis to ensure Maya stays ahead in the fintech space.
  • Develop dashboards and reports to communicate insights to stakeholders and support strategic decision-making.
  • Work with cross-functional teams to prioritize and validate product features and improvements.
  • Monitor the performance of new product features post-launch and recommend optimizations based on user feedback and data.
  • Conduct A/B testing and experiments to validate hypotheses and measure the impact of changes on product performance.
  • Ensure data integrity by maintaining accurate and reliable tracking systems across products.

What we are looking for:

  • Bachelor's degree in Business, Statistics, Economics, Computer Science, Data Science, or a related field.
  • Over 3 years of experience in product analytics, data analysis, or a similar role.
  • Strong proficiency in data analysis tools (e.g., SQL, Excel, Python, or R) and data visualization tools (e.g., Tableau, Power BI, or Looker).
  • Excellent problem-solving skills and a keen eye for detail.
  • Ability to communicate complex data insights in a clear and concise manner to non-technical stakeholders.
  • Experience working with digital products, especially in fintech or a related industry, is a plus.
  • Experience with machine learning models or predictive analytics is an advantage.
  • Familiarity with tools like Google Analytics, Databricks, CleverTap, Firebase, etc. is an advantage.
  • Understanding of the Philippine fintech industry trends and regulations is an advantage.

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