Data Analyst

About ProSource

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:

Data Analytics & Business Intelligence

• 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?

• 💸 Highly competitive salary
• 🏥 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

Ready to take the next step? Apply now and be part of our team!