Description

Job Responsibilities include:

Design and develop scalable data pipelines using SQL and Dataform within the GCP BigQuery ecosystem.

Analyze large-scale ADAS datasets to identify trends, anomalies, and performance insights.

Optimize complex SQL queries to improve performance, reduce costs, and ensure efficient data processing.

Build interactive dashboards and visualizations using BI tools like Looker, Tableau, or Power BI.

Collaborate with engineering and product teams to define data requirements and support feature improvements.

Translate analytical findings into actionable insights and clear business narratives for stakeholders.

Required Qualifications:

Bachelor’s degree in data science, Computer Science, Engineering, or a related analytical field.

1+ years of experience in data analytics, data engineering, or related roles.

Strong expertise in advanced SQL and Google BigQuery, with hands-on experience in data modeling, query optimization, and large-scale data analysis.

Proven experience with BI tools (Looker/Tableau/Power BI) and data storytelling, along with working knowledge of Dataform/dbt and Python for data analysis

Key Skills

Education

Any Graduate