Data Analyst (SQL)

Arch Global Services Philippines; Metro Manila; On-site; PHP 600,000 - 850,000; Full time

Job summary

Arch Insurance International is seeking a Data Quality / Master Data Management specialist based in the Philippines to support MDM queries, data cleansing, and quality monitoring across multiple data domains.

You will review dashboards, apply preventative rules, assist release and change tasks, and help document processes for the master data team. Strong Excel/SQL basics and clear communication are essential; insurance knowledge is a plus.

Qualifications

• Data profiling, cleansing and analysis skills; able to read data models and pinpoint root causes.
• ETL knowledge and familiarity with data integration concepts.
• Clear, concise communicator who explains data issues to business and technical audiences.
• Nice to have: MDM operations, insurance knowledge, Python, Snowflake.

Responsibilities

• Front‑door for MDM queries and data quality issues.
• Perform data cleansing projects and monitor data quality.
• Review dashboards/scorecards, spot patterns and propose prevention actions.
• Support release and change tasks related to master data.
• Validate data model or rule changes in lower environments; assist UAT and cutover tasks.
• Create and maintain documentation, knowledge bases and playbooks.
• Maintain how‑to guides, FAQs and known‑issue resources for MDM requests.

Skills

Data profiling

Data cleansing

Data analysis

SQL basics

Excel

Clear communication

Tools

ETL

Python

Snowflake

Job description

Schedule: Mid Shift

The Position:

Arch Insurance International is a fast‑growing insurance company which provides underwriting solutions across a diverse and growing portfolio of over 20 business classes, spanning multiple platforms in the London company market, the Lloyd’s market, the UK regional markets, and markets in Australia, Bermuda, and the EU.

Job Responsibilities

• Front‑door for MDM (Master Data Management) queries
• Data cleansing projects
• Data quality monitoring
• Review dashboards/scorecards, spot patterns, and raise prevention actions (new rules, validations, or process tweaks)
• Release & change support
• Support the validation of data model or rule changes in lower environments; support UAT and cutover tasks affecting master data
• Documentation & knowledge
• Maintain “how‑to” guides, FAQs, and known‑issue playbooks for common MDM requests

Qualifications

• Data profiling, data cleansing and analysis skills; comfortable with Excel/SQL basics; able to read a data model and pinpoint root causes
• ETL knowledge
• Clear, concise communicator who can explain data issues to both business and technical audiences
• Good to Have: MDM (Master Data Management) Operations, Insurance Knowledge, Python, Snowflake