Data analyst

Job Description

Posted on 1 April 2026

JOB TITLE: Senior Analytics Engineer

What you’ll be doing:

• Architect Scalable Systems: Design, build, and optimize robust data models (fact and dimension tables) within our central data warehouse (Snowflake) to integrate information from 8+ disparate sources.
• Expert SQL Modeling: Write and own complex, optimized SQL transformation logic using CTEs, window functions, and advanced joins across very large datasets to create curated, trusted data assets.
• Drive Multi-Source Integration: Lead the effort to stitch customer, revenue, and product usage identities across critical systems like Stripe, HubSpot, Salesforce, Salesloft, Dialpad, and Heap.
• Data Governance & Performance: Manage the performance and cost of our data warehouse (Snowflake), including designing aggregation layers and optimizing slow queries to ensure cost-efficiency and fast delivery.
• Empower Self-Service: Transform raw event-level data and CRM logs into intuitive, governed intermediate tables and presentation layers, enabling analysts and business stakeholders to confidently use data.
• Strategic Product Analytics: Model user behavior and adoption funnels, and you must have built product adoption models to provide deep insights into product-led growth and retention.

• Experience: Minimum of 5 years of industry experience. You should possess the leadership mindset necessary to mentor others and help set the stage for future data hiring.

Technical Stack:

• Minimum of 2 years of daily, expert-level SQL usage for complex data modeling and transformation, not just ad-hoc data pulling.
• Good understanding of dimensional modeling and hands-on experience with Snowflake or similar modern cloud data warehouses. Proven ability to work with large data sets from various data sources.
• High proficiency in modern BI tools (specifically Hex or Looker).
• SaaS Data Architecture Expertise: A mandatory, solid background working within a B2B SaaS environment, understanding the unique metrics and rhythms of the industry, and proven experience integrating and modeling complex multi-source data.
• Communication Mastery: The ability to translate complex technical concepts into "so what?" insights for non-technical audiences. You are as comfortable in a code editor as you are presenting to a room of stakeholders.
• Ambiguity Navigator: You don't wait for a perfect brief. You are comfortable working in a fast-paced environment and take the initiative to drive clarity and solutions where they don't yet exist.

Nice to Haves (Experience with):

• Stripe
• HubSpot
• Salesforce
• Product analytics tools (Heap, Amplitude, Mixpanel)
• Sales engagement tools (Salesloft, Outreach)

Work location

BAGUIO CITY, BENGUET

Remarks

No additional remarks

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