Partner with the engineering team to lead the knowledge transfer of "Atlas" (built in Python), taking full architectural ownership and ensuring its continued health and progression.
Using Apache Airflow to manage and optimize the daily ingestion of analytics from multiple disparate sources (social media, podcast platforms, etc.) to ensure a clean, reliable, and "healthy" data stream.
Act as a "data detective" to identify what information we are missing and prioritize new data collection that aligns with our financial stability and growth levers.
Build and maintain intuitive dashboards (e.g., Power BI or custom builds) that allow non-technical peers to answer basic everyday questions without needing manual engineering support.
Transform raw data into structured, "customer-ready" packages to support our heavy push into data licensing.
Utilize your knowledge of the media analytics landscape to guide the organization on whether to build custom internal tools or leverage existing 3rd-party social media analytics solutions.

Requirements

Complete mastery of SQL and Airflow, along with a high proficiency with Python.
Deep familiarity with typical frameworks for cloud-based data storage and management.
Proven track record of working with very large datasets and high transaction volumes.
Ability to perform at least basic analysis on data, identifying issues, transforming datasets, and looking at information from multiple perspectives.
Strong "people skills" with a genuine interest in interviewing stakeholders to understand the business questions they need the data to answer.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLApache Airflowdata transformationdata analysisdata ingestiondashboard developmentcloud-based data storagelarge datasetshigh transaction volumes

Soft Skills

people skillsstakeholder interviewingcommunicationproblem-solvinganalytical thinking