Analytics Engineer - Data Insights for Growth (Hybrid)

MicroSourcing International; Manila; Hybrid; PHP 800,000 - 1,200,000; Full time

Benefits offered by this job

Healthcare on day one

Performance bonuses

Flexible work arrangements

Group life insurance

Paid time-off with cash conversion

Job summary

MicroSourcing invites an Analytics Engineer to join our global operations based in Metro Manila. Transform diverse data sources into actionable insights, build dashboards, and drive data-driven decisions across leadership and operations.

You will collaborate across departments, implement forecasting and segmentation models, and ensure data quality and reproducibility in a hybrid night-shift environment.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, OR Operations Research or related quantitative field.
• At least 3 years of experience in data analytics, BI, data science, or decision support.
• Strong SQL skills and proficiency in Python or R for analysis and modeling.
• Experience with data visualization and reporting tools such as Power BI or Tableau.

Responsibilities

• Transform data into actionable insights to improve route density, pricing, service reliability, and growth.
• Develop and maintain dashboards, reports, and KPI reporting for leadership and operations.
• Analyze route profitability, stop density, drive time, pricing realization and operational exceptions.
• Build forecasting, segmentation, optimization, and anomaly-detection models for business decisions.
• Collaborate with Operations, Finance, Sales, Customer Service, and IT to translate questions into analytical solutions.

Skills

SQL

Python

R

Data visualization

Power BI

Tableau

Stakeholder communication

Education

Bachelor's degree in a quantitative field

Tools

Power BI

Tableau

Job description

MicroSourcing invites an Analytics Engineer to join our global operations based in Metro Manila. Transform diverse data sources into actionable insights, build dashboards, and drive data-driven decisions across leadership and operations.

You will collaborate across departments, implement forecasting and segmentation models, and ensure data quality and reproducibility in a hybrid night-shift environment.