Senior Data Analyst (Analytics Engineering), Data Platform
Core
Build reliable, reusable datasets and metrics for product and business teams, delivering ad hoc analysis, KPI reports, and dashboards while scaling analytics practices across the company.
Role type
Senior Analytics Engineer (Data Platform)
Builds
Production-grade data models, ELT transformations, curated datasets, and dashboards for internal teams.
Domain
SaaS / Cybersecurity / Network Intelligence
Required skills
SQL, data modeling, ELT/ETL pipelines, dbt, PySpark, Python, cloud data warehouses (Redshift), BI tools
Preferred skills
Metrics-layer/semantic-layer tooling (dbt Semantic Layer, Cube, Looker), AWS data services, data quality testing/observability, mentoring analysts
Technologies
dbt, Spark, Redshift, Python, SQL, Git, AWS (Athena, Glue, S3)
Responsibilities
Define and validate KPIs with stakeholders; build and maintain tested data models and ELT transformations; create curated datasets and dashboards; streamline analytics practices and shared modeling conventions; present findings to technical and non-technical audiences.
Seniority
Senior, hands-on IC
