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CreatorIQ

Enterprise SaaS platform for influencer campaigns

Analytics Engineer

Data Engineering +1Confirmed live in the last 24 hours
Full-timeManila, Metro Manila, Philippines₱1.8M - ₱2.2M /yrIn-person

About the Job

Requirements

  • The candidate must have 3–5+ years of analytics or business intelligence experience, including demonstrated ownership of dbt modeling and business intelligence dashboards in a production analytics, business intelligence, or analytics engineering role.
  • The candidate must have advanced Tableau skills, including building high-performance dashboards, optimizing data sources, using calculated fields, selecting appropriate chart types, reducing visual noise, and designing for the reader.
  • The candidate must be proficient in SQL and able to write complex queries using window functions, common table expressions, and optimization techniques for analysis and data preparation.
  • The candidate must have hands-on experience with dbt and dimensional modeling, including building transformation models, writing dbt tests, designing star and snowflake schemas from scratch, and inheriting and extending existing modeling conventions.
  • The candidate must have experience defining reusable metrics once and exposing them consistently across business intelligence tools, such as with Snowflake Semantic Views, dbt Semantic Layer, or similar technology.
  • The candidate must be proficient with Git, including branching, pull requests, and code review in a collaborative dbt development environment.
  • The candidate must be skilled at requirements gathering, scoping ambiguous business requests, asking clarifying questions, and translating outcomes into clear, documented analytical requirements.
  • The candidate must be able to collaborate on technical problems with engineers and explain data model logic and metric definitions clearly to non-technical stakeholders.

Responsibilities

  • Own and progressively extend the dimensional modeling layer by learning existing dbt models and datamart conventions, then taking ownership of new subject-area datamarts and designing fact and dimension tables from scratch as the warehouse grows.
  • Establish governed, reusable metric definitions across the go-to-market funnel, prioritizing marketing-qualified-lead to sales-qualified-lead metrics; partner with Marketing Operations, Sales Operations, and Revenue Operations to resolve conflicting definitions and encode metrics consistently for dashboards and queries.
  • Design, build, and maintain performant, self-service Tableau dashboards that provide go-to-market teams actionable visibility into revenue key performance indicators and customer journey metrics using governed metric definitions.
  • Apply visualization judgment by choosing chart types and layouts appropriate to each audience and translating complex data into intuitive, decision-ready views.
  • Present and validate dashboards and metric definitions with analysts and go-to-market managers, confirm analytical logic, and incorporate feedback to improve reliability and self-service adoption.
  • Gather and document business requirements by partnering with go-to-market Strategy and Insights managers to translate business questions into scoped, documented analytical requirements, and conduct light ad hoc analysis as needed.

Desired Qualifications

  • Experience with go-to-market or Revenue Operations data sources such as Salesforce, HubSpot, Google Ads, LinkedIn Ads, and call-intelligence platforms such as Gong, including reconciling identity and attribution across systems.
  • Experience with Snowflake as a data platform and awareness of its Coco AI capabilities.
  • Experience with data diagramming tools such as Lucidchart and dbdiagram.io for documentation.
  • Curiosity about agentic business intelligence tools such as Omni and automation tools such as n8n.

About the Company

CreatorIQ

Enterprise SaaS platform for influencer campaigns

CreatorIQ provides an enterprise SaaS platform for influencer marketing. It helps brands and agencies run influencer campaigns at scale by enabling creator discovery, building private creator networks, managing campaigns, and generating detailed performance reports. The platform, called the Creator Intelligence Cloud, supports global enterprises with fraud prevention and brand safety features, and offers elite professional services and data solutions to maximize customer success. The product works by centralizing influencer discovery, campaign workflows, and analytics in one cloud-based system, with subscription access plus optional data services and custom cloud solutions.

Company size
201-500
Company stage
Series D
Total funding
$79.5M
Headquarters
Culver City, CA
Founded
2017

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