Data Analytics Associate
@ Monee

Manila, National Capital Region, Philippines
$120,000
On Site
Full Time
Posted 8 hours ago

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Job Details

Overview

The Data Analytics Associate at Monee is responsible for analyzing large datasets to uncover trends and patterns, extracting actionable insights to boost digital product engagement, improve customer experience, and enhance operational efficiency.

Key Responsibilities

  • Analyze large datasets to identify trends and patterns.
  • Monitor and assess performance of digital banking products and features.
  • Improve team documentation such as metrics, data dictionaries, and process documents.
  • Collaborate with stakeholders to define metrics, conduct analysis, and share actionable insights.

Requirements

  • Bachelor’s degree or higher in Data Science, Statistics, Computer Science, Engineering, Business Analytics or related fields.
  • 4-8 years of experience in business analytics, preferably in financial services, digital banking, or telco industries.
  • Experience with statistical modeling techniques: regression analysis, time series analysis, and clustering.
  • Familiarity with machine learning algorithms and predictive modeling.
  • Proficiency in R, Python, and SQL.
  • Working knowledge of REST APIs, Selenium, Google Apps Script, and Data Visualization is a plus.
  • Excellent communication and presentation skills.
  • Entrepreneurial spirit with a start-up mindset.
  • Ability to work independently and collaboratively in a fast-paced, cross-functional environment.

Key skills/competency

  • Data Analysis
  • Statistical Modeling
  • Machine Learning
  • Python
  • R
  • SQL
  • Data Visualization
  • Documentation
  • Collaboration
  • Digital Banking
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How to Get Hired at Monee

🎯 Tips for Getting Hired

  • Research Monee's culture: Understand mission, values, and recent projects.
  • Tailor your resume: Highlight analytics skills and relevant experience.
  • Showcase technical projects: Provide evidence of data analysis work.
  • Prepare for interviews: Focus on statistical and technical questions.

📝 Interview Preparation Advice

Technical Preparation

Review statistical modeling techniques.
Practice coding in R and Python.
Brush up SQL query skills.
Familiarize with REST APIs and Selenium.

Behavioral Questions

Describe a teamwork challenge solved.
Share an analytical project success story.
Explain your independent work style.
Discuss adapting in fast-paced teams.

Frequently Asked Questions