Data Engineer/Data Analyst | Trailhead Content Activation and Business Outcomes
Core
Build, test, and run recurring reporting and pipeline infrastructure for Trailhead content analytics, learner satisfaction feedback, and business impact measurement.
Role type
Data Analyst/Data Engineer Hybrid
Builds
Dashboards, headless analytics, and data pipelines for content performance, survey data, and engagement-to-commercial-outcome cohorts.
Domain
EdTech / AI Learning Platforms
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, ETL/pipeline development (dbt, Airflow), Tableau (calculated fields, LOD, performance optimization), structured data handling, unstructured data handling (survey/text), data quality validation, AI query tools
Preferred skills
Headless BI/semantic layer tools, Salesforce Data Cloud, AI query tools (natural language querying), Trailhead platform experience, Salesforce CRM experience
Technologies
dbt, Airflow, Tableau, Salesforce Data Cloud, AI query tools
Responsibilities
Build and maintain recurring reports and dashboards for content intelligence; ingest and structure survey data into feedback dashboards; build join and cohort pipelines connecting learner data to business records; ensure data is structured for both visual dashboards and agent consumption; run day-to-day data quality checks and anomaly monitoring; operate AI/query tools on AI-ready data for natural-language queries.
Seniority
Mid-level, hands-on IC
