Join our Product Control team and help ensure the integrity of daily financial results that drive business decisions.
You will work closely with trading partners and Finance stakeholders to deliver clear, timely insights.
This role offers broad exposure to mar Looker Studio performance
Proficiency with Git and collaborative development workflows, and proven ability to manage multi-client data environments with strict data segregation
An analytical, solution‐driven mindset with a growth orientation, and strong communication skills that turn complex data workflows into clear narratives for non‐technical audiences — education marketing experience (traditional or online) is especially valued
Bonus Points
Experience integrating AI‐driven insights or machine learning models into marketing data pipelines to sharpen predictive analytics and data utility
Familiarity using AI or LLM tools to optimize performance forecasting, automated audience segmentation, or marketing workflows
Experience connecting, managing, and maintaining APIs for generative AI platforms within a marketing data architecture
Experience using AI/ML‐driven anomaly detection to monitor pipelines and proactively flag data quality issues
What's Offered
Remote role with the flexibility that comes with a distributed, async‐friendly team
Competitive compensation based on experience and location
A pivotal, high‐visibility seat on a scaling Data & Analytics team, with real ownership over the agency's reporting infrastructure
The chance to build the data backbone for an agency whose partners are education and nonprofit organizations working to build a better world
A culture built around finding a better way, playing as a team of A‐players, and treating results as the engine rather than the goal
Direct impact: the pipelines and models you build directly shape how partners see (and trust) their own performance data
Interview Process
1 Application Review (resume + a few questions)
2 Screening Call with Atomic HR
3 Hiring Team Interview (walkthrough of a pipeline or data model you've built)
4 Technical Assessment (a real‐world data engineering case study)
5 Final Interview with company leadership
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📌 Product Development Analyst Latam Only (Santa Fe)
🏢 Electrolux Group
📍 Santa Fe
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