Advanced Analytics Manager

1 day ago

Metro Manila Philippines GCash Full time

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Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation G ka ba? Join the G Nation today
DOES

  • Lead the design, development, and implementation of advanced analytics models (e.g., predictive modeling, machine learning, optimization).
  • Oversee data exploration, feature engineering, and model validation to ensure accuracy and reliability.
  • Partner with cross-functional teams to translate business challenges into analytical solutions.
  • Drive data storytelling and visualization to make insights actionable for decision-makers.
  • Establish best practices for analytics, governance, and automation to improve efficiency.
  • Mentor and develop a team of analysts and data scientists, fostering a data-driven culture.

DISPLAYS
  • Technical Expertise – Strong proficiency in statistical analysis, machine learning, and data manipulation (Python, R, SQL, Looker Studio, etc).
  • Problem-Solving Ability – Exceptional critical thinking and ability to structure complex problems into analytical frameworks.
  • Business Acumen – Deep understanding of industry dynamics, KPIs, and how data-driven insights impact business goals.
  • Leadership & Influence – Ability to drive collaboration across teams, communicate effectively with senior stakeholders, and lead a team with clarity.
  • Innovation & Adaptability – Stays ahead of emerging trends in analytics, continuously improving models and methodologies.
  • Actionable insights that drive measurable improvements in revenue, cost efficiency, or customer experience.
  • Scalable and well-documented analytics models that enhance decision-making.
  • A high-performing analytics team capable of delivering impact at scale.
  • Efficient analytics workflows that minimize manual efforts through automation and self-service analytics.
  • Business adoption of analytics solutions, ensuring insights translate into strategic actions.

DELIVERS
  • Actionable insights that drive measurable improvements in revenue, cost efficiency, or customer experience.
  • Scalable and well-documented analytics models that enhance decision-making.
  • A high-performing analytics team capable of delivering impact at scale.
  • Efficient analytics workflows that minimize manual efforts through automation and self-service analytics.
  • Business adoption of analytics solutions, ensuring insights translate into strategic actions.

Qualifications
Education: Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, or a related field.
Experience: 7+ years of experience in advanced analytics or data science, with a focus on developing models and delivering actionable insights.
Core Competencies
  • Strong analytical and problem-solving skills
  • Expertise on analytics tools (Python / R, SQL, Looker Studio, etc.)
  • Knowledgeable in statistical methods and machine learning techniques (regression analysis, demand forecasting, clustering & segmentation, classification algorithms, anomaly detection, etc.)
  • Ability to communicate complex analyses clearly to both technical and non-technical stakeholders.
  • Ability to collaborate with cross-functional teams
  • Experience with cloud platforms (AWS, Azure, GCP) for analytics
  • Ability to lead and mentor a team of data scientists and analysts

NATURE OF PROBLEMS ENCOUNTERED
  • Data Quality Issues: Resolve inconsistent or incomplete data through preprocessing or escalation to tech teams. (Recommendatory)
  • Model Underperformance: Optimize algorithms or adjust features to improve model accuracy. (Decision-maker within scope)
  • High-Dimensional Data: Simplify complex datasets using feature engineering and selection techniques. (Decision-maker within scope)
  • Model Interpretability Issues: Simplify technical findings for non-technical stakeholders without losing accuracy. (Recommendatory)
  • Bias in Data or Models: Identify and mitigate biases to ensure ethical and accurate results. (Decision-maker within scope)
  • Ambiguous Stakeholder Requests: Clarify requirements and align outputs to business objectives. (Recommendatory)

What We Offer
Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Research, Analyst, and Information Technology

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