Data Analyst (DA)
Posted Updated
Job Summary (List Format):
- Experienced Data Analyst role focusing on SQL, BigQuery, and GIS data within the telecommunications domain
- Responsible for conducting ad-hoc data analysis and delivering actionable insights to stakeholders
- Designing and maintaining semantic data models tailored to business needs
- Creating and maintaining analytical dashboards and reports using Tableau or Looker
- Collaborating with engineering teams to ensure data quality and optimize data pipelines
- Applying telecommunications knowledge (network topology, KPIs, telemetry, asset lifecycle) to analytical deliverables
- Effectively communicating findings to both technical and non-technical stakeholders
- Utilizing advanced SQL and BigQuery skills, including query optimization and IAM access principles
- Building and maintaining data models (conceptual, logical, physical) with a focus on the semantic layer
- Managing Google Cloud Storage (bucket structure, access management, retention policies)
- Using GitLab for version control and repository maintenance
- Integrating GIS data and engines for spatial analysis and data modeling
- Strong stakeholder engagement and communication on large-scale projects
- Experience with Dataform for SQL modeling and transformation is a plus
- Experienced Data Analyst role focusing on SQL, BigQuery, and GIS data within the telecommunications domain
- Responsible for conducting ad-hoc data analysis and delivering actionable insights to stakeholders
- Designing and maintaining semantic data models tailored to business needs
- Creating and maintaining analytical dashboards and reports using Tableau or Looker
- Collaborating with engineering teams to ensure data quality and optimize data pipelines
- Applying telecommunications knowledge (network topology, KPIs, telemetry, asset lifecycle) to analytical deliverables
- Effectively communicating findings to both technical and non-technical stakeholders
- Utilizing advanced SQL and BigQuery skills, including query optimization and IAM access principles
- Building and maintaining data models (conceptual, logical, physical) with a focus on the semantic layer
- Managing Google Cloud Storage (bucket structure, access management, retention policies)
- Using GitLab for version control and repository maintenance
- Integrating GIS data and engines for spatial analysis and data modeling
- Strong stakeholder engagement and communication on large-scale projects
- Experience with Dataform for SQL modeling and transformation is a plus