Help with data management, transformation, analysis and visualization; choose, implement, maintain, and monitor optimal tools
Automate ingestion of data from multiple sources (e.g., Google Sheets, APIs, internal systems) into BigQuery
Design, build, and maintain scalable data pipelines and workflows in BigQuery; ensure data accuracy, consistency, and reliability
Perform descriptive and diagnostic exploratory analyses to uncover trends, patterns, and insights
Build dashboards, reports, and visualizations (e.g., in Looker Studio, Tableau) to support decision-making
Partner with stakeholders to define key business metrics and create systems for daily, weekly and monthly tracking
Translate complex datasets into clear, actionable insights for both technical and non-technical audiences
Collaborate with product, content, marketing, philanthropy, and analytics teams across time zones
Requirements
A passion for education and a desire to change the world
A willingness to roll up your sleeves and help the team get work done as we are growing
4+ years of hands on experience in data engineering and analytics field, ideally in an education setting
Knowledge of advanced statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
Strong SQL foundations & ability to manipulate data using R or Python
Knowledge of at least one dynamic language and SQL
Prior experience with the end-to-end analytics chain is a nice to have (e.g. data modeling, BI tools, Bigquery)
Strong verbal/written communication & data presentation skills; experience with BI tools is a plus
Ability to work collaboratively with cross-functional teams across wide time zones
Familiarity with version control (Git)
Benefits
Competitive salaries and Meritocracy-driven, candid culture
A fun, high-caliber team that trusts you and gives you the freedom to be brilliant
The ability to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
Remote work friendly, i.e. option to work from home; flexible schedules
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data managementdata transformationdata analysisdata visualizationdata pipelinesBigQuerySQLRPythonmachine learning
Soft skills
communicationcollaborationproblem-solvingadaptabilityteamworkanalytical thinkingpresentation skillsstakeholder engagementpassion for educationwillingness to help