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About the Role
Nextlink is seeking a skilled Data Analyst to perform complex analytical investigations, design semantic data models, develop business intelligence dashboards, and deliver actionable insights. The role involves collaborating with various teams to ensure high-quality data solutions and accurate interpretation of telecommunications and geospatial data.
Responsibilities
- Conduct ad-hoc data analysis, root cause investigations, and diagnostic assessments.
- Deliver actionable insights and recommendations to stakeholders.
- Perform data validation, profiling, and quality assessments.
- Design, develop, and maintain data models (conceptual, logical, physical).
- Create and manage semantic data models.
- Implement normalization and denormalization strategies.
- Design and maintain Slowly Changing Dimensions (SCD) and time-series data models.
- Apply modern data architecture concepts, including Medallion Architecture.
- Develop, enhance, and maintain interactive dashboards and reports using Tableau and/or Looker.
- Integrate reporting solutions with Google BigQuery and other enterprise data sources.
- Ensure dashboard accuracy, usability, and alignment with business KPIs.
- Partner with data engineering teams to validate data pipelines and outputs.
- Support data governance, quality monitoring, and optimization initiatives.
- Contribute to best practices for data management, documentation, and analytics delivery.
- Analyze network performance, operational KPIs, telemetry data, and asset lifecycle information using telecommunications domain expertise.
- Work with GIS datasets, geospatial analytics, and location-based intelligence solutions.
- Leverage BigQuery GIS functions and spatial data concepts.
- Collaborate with business leaders, product owners, and technical teams to gather requirements.
- Present findings, insights, and recommendations clearly to diverse stakeholder groups.
- Manage multiple priorities in a fast-paced project environment.
Requirements
- Advanced proficiency in SQL including Window Functions, CTEs, Arrays and Structs, DDL and DML operations, and User Defined Functions (UDFs).
- Strong understanding of Google BigQuery including Partitioning and Clustering, Query Performance Optimization, Cost Management and Pricing Models, and BigQuery IAM and Access Controls.
- Experience working with GraphQL APIs and data extraction processes.
- Strong understanding of data normalization and denormalization, conceptual, logical, and physical data modeling, Slowly Changing Dimensions (SCD), time-series data modeling, semantic layer design and development, and Medallion Architecture principles.
- Proven ability to translate complex business requirements into scalable data models.
- Experience managing Google Cloud Storage (GCS) buckets, object storage structures, storage classes, lifecycle management, retention and archival policies, and IAM-based access controls.
- Proficiency in GitLab including branch management, code commits and merge requests, version control best practices, and repository maintenance and collaboration workflows.
- Experience designing and developing business intelligence dashboards using Tableau/Looker.
- Strong understanding of data visualization best practices.
- Ability to connect and optimize reporting solutions using BigQuery data sources.
- Knowledge of GIS concepts and spatial data processing.
- Experience with coordinate systems and conversions, common GIS file formats, geospatial analytics, and BigQuery GIS capabilities.
Skills
- SQL
- Google BigQuery
- Data Modeling
- GIS data analysis
- Telecommunications domain knowledge
- Tableau
- Looker
- GraphQL APIs
- Google Cloud Storage (GCS)
- GitLab
- Data visualization
- Geospatial analytics
Experience Level
- 5+ years of experience in Data Analytics, Business Intelligence, or a similar role.
Education Level
- Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.