Job Description

Job Description

  • Analyze large datasets to identify trends, patterns, and extract actionable insights to increase digital products engagement, improve customer experience, and operational efficiency.
  • Monitor and assess the performance of digital banking products and features.
  • Improve team documentation, including metric documentation, data dictionaries, code documentation, process documentation, and other relevant documentation.
  • Work with different stakeholders to define metrics, conduct analysis and share actionable insights to support the continuous improvement of SeaBank business, product and operations

Requirements

  • Graduate of Bachelor’s degree and above in Data Science, Statistics, Computer Science, Engineering, Business Analytics, and other related fields
  • At least 4-8 years of working experience in business analytics related roles, preferably in the financial services, digital banking, & telco industries.
  • Has demonstrated experience in statistical modeling techniques such as regression analysis, time series analysis, and clustering.
  • Familiarity with machine learning algorithms and predictive modeling
  • Must be proficient in R, Python, and SQL
  • Working knowledge in REST APIs, Selenium, Google Apps Script, and Data Visualization is a plus
  • Excellent communication and presentation skills
  • Entrepreneurial spirit and start-up mindset
  • Ability to work independently and collaboratively in a team environment
  • Work well with cross-functional teams in a fast-paced environment


Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: Philippines City: Manila National Capital Region
Company Website: https://www.monee.com/ Job Function: Data Science & AI
Company Industry/
Sector:
Financial Services

What We Offer


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