Data Analyst

Monee; Manila; On-site; PHP 360,000 - 540,000; Full time

Job summary

Monee in the Philippines is seeking a data analyst to collect and interpret large data sets across pricing, claims, customer behavior, and business performance. You will build robust data models and dashboards to support actuarial pricing, forecasting, and operational analytics.

The role emphasizes data governance, quality assurance, and cross-functional collaboration with Business Development, Product, Underwriting, Claims, Finance, and IT to translate insights into strategic actions.

Qualifications

• Bachelor's degree or 4-year program completed.
• 1–2 years of experience.
• Proficient in Excel, SQL, and Python for data manipulation, analysis, and modeling.
• Experience in data visualization using BI tools.
• Interest inInsurTech and data analytics in insurance.
• Familiarity with local insurance product landscape across lines is a plus.
• Excellent analytical and problem-solving skills with ability to convey insights.

Responsibilities

• Analyze large and complex data sets to extract actionable insights related to pricing, claims management, customer behavior, and overall business performance.
• Build and maintain robust, scalable data models to support actuarial pricing, forecasting, and operational analytics.
• Design and maintain dashboards and reports highlighting key financial, operational, and customer metrics.

Skills

Excel

SQL

Python

Data Visualization Tools

Education

Bachelor's degree (4-year)

Tools

Power BI

Tableau

Qlik

Job description

Job Description

Data Analysis and Insight Generation

Analyze large and complex data sets to extract actionable insights related to pricing, claims management, customer behavior, and overall business performance. Identify data-driven trends, patterns, and correlations that support strategic decision-making across the insurance value chain.

Data Modeling And Analytics Infrastructure

Build and maintain robust, scalable, and efficient data models to support actuarial pricing, financial forecasting, and operational analytics. Enhance existing models and reporting systems to improve accuracy, usability, and automation.

Business Intelligence Reporting

Design and maintain regular dashboards and business reports that highlight key financial, operational, and customer metrics. Provide ongoing data-driven commentary and insights to explain trends and anomalies, supporting timely business decisions.

Data Visualization And Storytelling

Develop visually compelling and interactive dashboards and presentations using BI tools (e.g., Power BI, Tableau, Qlik). Translate complex analytical outputs into clear and impactful visual stories for senior leadership and cross-functional teams.

Data Governance And Quality Assurance

Promote a culture of strong data governance by ensuring the accuracy, consistency, and timeliness of data used across the business. Identify and resolve data quality issues in collaboration with IT and data engineering teams.

Stakeholder Engagement

Actively collaborate with teams such as Business Development, Product Development, Underwriting, Claims, Finance, and IT to support cross-functional analytics initiatives.

Requirements

• Bachelor's Degree / 4-Year Course Graduate
• At least 1-2 years of experience
• Proficient in Excel, SQL, and Python for data manipulation, analysis, and modeling
• Experienced in data visualization using tools
• Strong interest in InsurTech and data analytics, with a passion for innovation in the insurance industry
• Familiarity with the local insurance product landscape and experience across multiple lines of business is a plus
• Excellent analytical and problem-solving skills, with the ability to interpret data and provide technical insights
• Ability to work both independently and with cross-functional teams, while being proactive in a fast-paced work environment
• Strong written and verbal communication skills, capable of conveying results and strategies to both technical and non-technical audiences