Data Analyst

ProSource; Philippines; Remote; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

HMO coverage from Day 1

Fully remote setup with tools

Full-time role with benefits

Job summary

ProSource seeks a Data Analyst to support data and reporting needs by analyzing business performance, maintaining dashboards, and helping teams use data to make informed decisions. You will translate data into actionable insights across Customer Experience, Marketing, and Finance, while ensuring data quality and reporting workflows.

Reporting to the VP of Finance, you will work cross-functionally to deliver recurring reports, ad-hoc analyses, and basic automation, assisting with data systems and

Qualifications

• 8+ years of experience in data analytics, business intelligence, or data engineering.
• Proficiency in SQL and data modeling; cloud data warehouses (Snowflake preferred).
• Proficiency with BI tools, particularly Looker/LookML development.
• Experience with Python for data engineering, automation, and API integrations.
• Hands-on experience with AI tools in a business context.
• Working knowledge of workflow automation platforms (n8n, Airflow, or similar).
• Familiarity with customer experience platforms (Gladly, Zendesk) and e-commerce systems (Shopify, NetSuite).
• Understanding of data privacy regulations and consent management practices.

Responsibilities

• Design, build, and maintain Looker dashboards and reports for executive visibility and metrics.
• Develop LookML views and explores under established modeling standards.
• Support data modeling in Snowflake for BI, marketing performance, and customer analytics use cases.
• Translate business questions into analytical approaches and insights for stakeholders.
• Assist with recurring reporting and ad-hoc analysis, ensuring accuracy and consistency.
• Monitor AI analytics performance and report on automation effectiveness.
• Support automated workflows using n8n, Airflow, and basic scripting to improve reporting.
• Maintain CX dashboards and analyze agent performance, queue health, and SLA tracking.
• Integrate data across key systems (Gladly, Klaviyo, NetSuite, Shopify, Geodis, SPS Commerce).
• Support data governance and privacy compliance; maintain documentation.

Skills

SQL

Data modeling

Python

AI tools in business

Workflow automation concepts

Tools

Snowflake

Looker/LookML

n8n

Airflow

Klaviyo

Gladly

Zendesk

Shopify

NetSuite

Geodis

SPS Commerce

Job description

At ProSource, we build and manage highly technical distributed teams for some of the most innovative companies in the world. We believe in humanizing the outsourcing industry by finding, attracting, and retaining top talent. Our dynamic workspaces promote creativity, collaboration, and well-being. We leverage smart technologies to ensure our clients and employees thrive in a collaborative, high-performing environment.

Role Overview:

The Data Analyst supports the organization’s data and reporting needs by analyzing business performance, maintaining dashboards, and helping teams use data to make informed decisions. This role focuses on translating data into actionable insights across Customer Experience, Marketing, and Finance, while supporting ongoing improvements to data quality, reporting workflows, and operational analytics.

Reporting to the VP of Finance, the Data Analyst works cross-functionally to deliver recurring reports, ad-hoc analysis, and basic automation, and assists with maintaining data systems and documentation. The role contributes to data governance and compliance efforts, but does not serve as the primary owner of infrastructure or AI systems.

Key Responsibilities:

• Design, build, and maintain Looker dashboards and reports supporting executive visibility, operational metrics, and ad-hoc analysis across business teams
• Develop and maintain LookML views and explores under established modeling standards
• Support data modeling in Snowflake for business intelligence, marketing performance, and customer analytics use cases
• Translate business questions into clear analytical approaches and insights for stakeholders
• Assist with recurring reporting and special analysis projects, ensuring accuracy and consistency

AI Analytics & Automation Support

AI Analytics & Automation

• Monitor performance metrics for AI-enabled tools, including conversational AI platforms, and report on automation effectiveness
• Support automated workflows using tools such as n8n, Airflow, and basic scripting to improve reporting and operational processes
• Assist in the development of automated reporting outputs for Weekly Business Reviews and other recurring business updates
• Help identify and flag anomalous traffic or bot activity impacting marketing and analytics data
• Stay informed on emerging analytics and AI capabilities and share recommendations with senior team members

CX Operations & Performance Analytics

• Analyze Customer Experience metrics including contact volume, handle time, automation rates, and contact-per-order (CPO) trends
• Build and maintain CX dashboards supporting agent performance, queue health, and SLA tracking
• Partner with CX leadership to identify trends, root causes, and opportunities for operational improvement
• Analyze customer contact drivers and conversation data to surface insights that inform site, product, or process improvements

Systems Integration & Data Support

• Support data integrations across key business systems including Gladly, Klaviyo,
• NetSuite, Shopify, Geodis, and SPS Commerce
• Monitor data pipelines and assist in troubleshooting data discrepancies or reporting issues
• Help validate data accuracy across systems and support reconciliation efforts as needed
• Maintain documentation of reports, data definitions, and processes to support continuity and knowledge sharing

Data Governance & Compliance Support

• Support administration of consent and privacy tools (e.g., Osano) in partnership with Legal and Technology teams
• Assist with data subject request reporting and compliance documentation
• Ensure analytics and reporting align with privacy and data-handling requirements
• Follow established data governance standards and contribute to ongoing improvements in data quality and controls

Qualifications:

• 8+ years of experience in data analytics, business intelligence, or data engineering
• Demonstrated expertise in SQL and data modeling with experience in cloud data warehouses (Snowflake preferred)
• Proficiency with BI tools, particularly Looker/LookML development
• Experience with Python for data engineering, automation, and API integrations
• Hands-on experience implementing or managing AI tools in a business context
• Working knowledge of workflow automation platforms (n8n, Airflow, or similar)
• Familiarity with customer experience platforms (Gladly, Zendesk, or similar) and e-commerce systems (Shopify, NetSuite)
• Understanding of data privacy regulations and consent management practices

Schedule:

• Tuesday to Saturday, 11pm to 8am PHT

What's in it for you?

• HMO coverage for you and your dependents from Day 1
• Enjoy a fully remote setup with all the tools you need
• Full-time role with excellent perks and benefits