Data Analytics Developer
Core
Design and maintain ETL pipelines, automate data-quality tools, and develop secure, cloud-based analytics solutions to transform data into insights for BYU's Continuing Education mission.
Role type
Data Analytics Developer
Builds
ETL pipelines, automated analytical workflows, and secure cloud-based analytics solutions
Domain
Higher Education / Data Engineering & Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (Pandas, Plotly/Matplotlib), SQL, Bash (Linux), Dremio, Tableau, Power BI, GitHub, ETL pipeline development, data quality assurance, stakeholder consultation, technical documentation
Preferred skills
Machine learning, LLMs, vector databases, embeddings, graph databases, Elastic Stack, real-time streaming (Kafka, Kinesis), Tableau Prep & Server, Qualtrics
Technologies
Python, Pandas, Plotly, Matplotlib, SQL, Bash, Linux, Dremio, Tableau, Power BI, GitHub, Canvas, Qualtrics, Kafka, Kinesis
Responsibilities
Develop, automate, monitor, and troubleshoot ETL pipelines integrating data from external systems; Diagnose and resolve data access, migration, collection, quality, security, and freshness issues; Consult with stakeholders to define analytical requirements and KPIs; Supervise and train student employees; Support accreditation, course assessment, and reporting processes
Seniority
Mid-level IC