Senior Data Analyst: Onsite, EST Hours, AI-Driven Insights

MicroSourcing; Manila; On-site; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

Healthcare coverage

Performance bonuses

Flexible work arrangements

Career growth

Inclusive culture

Job summary

MicroSourcing in Manila is seeking a Sr. Data Analyst for an onsite night shift in Eastwood, Quezon City. You will build dashboards, pipelines, and models to support client health, retention, and operational decisions.

The role requires 5–7 years of data analytics experience, strong SQL and Python skills, API integration, and the ability to communicate complex data to diverse stakeholders. EST business hours apply; full-time position.

Qualifications

• 5–7 years of experience in data analysis or related roles.
• Strong SQL and Python skills with ability to build data pipelines.
• Experience working with APIs and multiple data sources.
• Ability to translate data into clear insights for stakeholders.

Responsibilities

• Conduct benchmarking studies and generate actionable insights.
• Develop customer-specific analyses on performance trends and health indicators.
• Build and maintain reporting infrastructure, dashboards, and pipelines.
• Develop capacity models for workload forecasting and planning.
• Integrate data from internal and external APIs into unified datasets.
• Write SQL queries and Python scripts for data cleaning and analysis.
• Apply AI tools to support research and process improvement.
• Partner with cross-functional teams to deliver repeatable analyses.
• Support health, renewal, and retention analysis by identifying risks.
• Document data sources and methodologies; present insights to stakeholders.
• Identify opportunities to standardize reporting processes and train others.

Skills

SQL

Python

APIs

Data visualization

Data cleaning

Communication

Tools

Conductor platform

Job description

MicroSourcing in Manila is seeking a Sr. Data Analyst for an onsite night shift in Eastwood, Quezon City. You will build dashboards, pipelines, and models to support client health, retention, and operational decisions.

The role requires 5–7 years of data analytics experience, strong SQL and Python skills, API integration, and the ability to communicate complex data to diverse stakeholders. EST business hours apply; full-time position.