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Mid-level generalist data role, metro location, and broad skillset drive high applicant competition.
Technical analytics and cloud skills are highly transferable across industries despite nonprofit domain experience preference.
Explicit 5-7 year requirement plus mandatory analytics, cloud, Python, serverless and ETL skills.
Coordinate with multiple teams to analyze field data, drive operations, and develop insights for the InSight Program focused on presbyopia.
Manage and maintain tech infrastructure including dashboards, ETL pipelines, survey tools, backend solutions, and automation using Python and cloud technologies.
Support program expansion planning by compiling learnings from pilots and collaborating with external technology partners to deploy scalable solutions.
5-7 years experience in data analytics with AI-first approach and basic cloud technology skills.
Proficiency in Excel/Google Sheets and data visualization tools like Power BI, Tableau, or Google Data Studio.
Experience with cloud environments, including creating, maintaining, and troubleshooting Virtual Machines, databases, and ETL pipelines.
Notice Period: Not explicitly mentioned in the JD.
Experienced in building automation and serverless applications using Python and low-code/no-code AI tools.
Comfortable working independently in fast-paced, collaborative environments with strong organizational and communication skills.
Ability to quickly understand and manage complex tech setups including API configuration and data structures.