SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
CreatorIQ is the operating system for creator-led growth, trusted by over 1,300 global brands and agencies. The company processes more than 250 million social posts daily across 15+ million creators, unifying fragmented platform data into a centralized intelligence layer for creator relationships, performance, governance, and commerce.
This Senior Data & ETL Analyst role owns the data engineering work behind CreatorIQ's custom client deliverables. You will source, clean, and transform data across multiple accounts, building reliable and repeatable pipelines and scripts. This is a technical growth track distinct from client-facing reporting, with a path toward deeper data-engineering scope over time.
Key responsibilities:
- Design and maintain ETL pipelines across multiple client accounts, cleaning, reconciling, and joining messy multi-source exports
- Write production Python scripts for data transformation, taxonomies, and custom reports that clients can maintain on their own systems
- Integrate with ad-platform and partner APIs (Meta, TikTok, and others) to pull and structure data
- Mentor junior team members on data hygiene and QC their work before client delivery
- Partner with analytics and Strategic Intelligence teams to scope new custom deliverables
The role operates in a flexible work model combining in-person and remote work. CreatorIQ has been recognized as a best company to work for by BuiltIn LA and NY, named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500 for four years, and recognized as a Leader by Forrester and G2.
Requirements:
- Advanced SQL and Python skills
- Real ETL experience, including cleaning, reconciling, and dedup logic
- API integration experience
- Ability to scope and own technical work across multiple clients with minimal oversight
Nice to have:
- Exposure to identity-resolution or customer-match style data work
- Familiarity with warehouse tools (e.g., Snowflake) or workflow automation (e.g., n8n)
- Basic stats or marketing-science literacy
