Data Analyst; DA)

Role Overview

Nextlink is seeking a highly skilled and experienced Data Analyst to join our team. The ideal candidate will possess strong expertise in SQL Google Big Query data modeling GIS data analysis and telecommunications domain knowledge
. This role requires a self-driven professional who can perform complex analytical investigations design semantic data models develop business intelligence dashboards and work closely with stakeholders to deliver actionable insights that support strategic and operational decision-making.

The Data Analyst will collaborate with business engineering and data teams to ensure high-quality data solutions effective reporting frameworks and accurate interpretation of telecommunications and geospatial data assets.

• Conduct ad-hoc data analysis root cause investigations and diagnostic assessments to identify trends anomalies and business opportunities.
• Deliver actionable insights and recommendations to technical and non-technical stakeholders.
• Perform data validation profiling and quality assessments to improve data accuracy and reliability.

• Design develop and maintain conceptual logical and physical data models.
• Create and manage semantic data models aligned with business requirements and reporting needs.
• Implement normalization and denormalization strategies to optimize analytical performance.
• Design and maintain Slowly Changing Dimensions (SCD) and time-series data models.
• Apply modern data architecture concepts including Medallion Architecture to analytical solutions.

• Develop enhance and maintain interactive dashboards and reports using Tableau and/or Looker
  .
• Integrate reporting solutions with Google Big Query 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.

• Utilize telecommunications domain expertise to analyze network performance operational KPIs telemetry data and asset lifecycle information.
• Work with GIS datasets geospatial analytics and location-based intelligence solutions.
• Leverage Big Query GIS functions and spatial data concepts to support business requirements.

• Collaborate with business leaders product owners and technical teams to gather requirements and translate them into analytical solutions.
• Present findings insights and recommendations clearly to diverse stakeholder groups.
• Manage multiple priorities in a fast-paced project environment while maintaining strong communication and engagement.

Required Skills & Experience
SQL & Google Big Query

• Advanced proficiency in SQL including:
  • Window Functions
  • Common Table Expressions (CTEs)
  • Arrays and Structs
  • DDL and DML operations
  • User Defined Functions (UDFs)
• Strong understanding of Google Big Query including:
  • Partitioning and Clustering
  • Query Performance Optimization
  • Cost Management and Pricing Models (On-Demand vs Slots)
  • Big Query 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
  • Medallion Architecture principles
• Proven ability to translate complex business requirements into scalable data models.

• Experience managing:
  • Buckets and object storage structures
  • Storage classes and lifecycle management
  • Retention and archival policies
  • IAM-based access controls

• Proficiency in:
  • Branch management
  • Code commits and merge requests
  • Version control best practices
  • Repository maintenance and collaboration workflows

• Experience designing and developing business intelligence dashboards.
• Strong understanding of data visualization best practices.
• Ability to connect and optimize reporting solutions using Big Query data sources.

• Knowledge of GIS concepts and spatial data processing.
• Experience with:
  • Coordinate systems and conversions
  • Common GIS file formats
  • Geospatial analytics
  • Big Query GIS capabilities

• Bachelors degree in Data Analytics Computer Science Information Systems Engineering Mathematics Statistics or a related field.
• 5 years of experience in Data Analytics Business Intelligence or a similar role.
• Experience working in telecommunications and cloud-based data environments is highly desirable.

Required Skills:

Required Skills & Experience Experience in Palantir platform administration and operational support. Strong understanding of platform administration monitoring and operational best practices. Knowledge of identity and access management…