US_West | Data Analyst_L

Optimum Data Modeler - BSS Transformation

Experienced Data Modeler and analyst with a strong background in the telecom domain and deep expertise in Google Cloud Platform (GCP). This role is responsible for leading end-to-end solution design, building scalable data models, and making architectural decisions to support complex telecom data ecosystems.

Develop robust conceptual, logical, and physical data models for telecom datasets, including CDRs, network performance metrics, service assurance, customer 360, billing, and provisioning. Optimize data models for high-performance analytics in Big Query and cloud-scale environments. Collaborate with ETL/ELT teams to translate data models into efficient, scalable implementations. Maintain comprehensive data documentation, including data dictionaries, lineage, and metadata. Ensure data integrity, consistency, and performance across all pipelines and systems.

Perform detailed data analysis to understand source systems and business requirements. Write complex SQL queries for validation, profiling, and transformation of telecom datasets. Ensure models support efficient querying, reporting, and analytics use cases.

Collaborate with data engineers and ETL/ELT teams to implement scalable data pipelines. Work with business stakeholders and analysts to translate requirements into data models. Participate in design reviews and ensure alignment with enterprise data architecture.

Partner with business stakeholders, product owners, and engineering teams to gather requirements and deliver scalable data solutions. Clearly communicate architectural decisions, trade-offs, and solution designs to both technical and non-technical audiences. Lead & facilitate technical workshops, architecture discussions, and data model review sessions.

Design and help deliver end-to-end data models and solutions on GCP aligned with telecom business needs and technical requirements. Establish design standards, frameworks, best practices, and reusable design patterns for telecom workloads. Help in design and architecture reviews, ensure compliance with enterprise standards, and drive modernization initiatives from legacy systems to cloud-based platforms. Apply strong SQL and analytical skills to support solution design and data-driven decision-making.

Strong experience in data modeling (conceptual, logical, physical). Proficiency in SQL and data analysis. Hands-on experience with GCP tools such as Big Query, Cloud Storage, and Dataflow. Knowledge of telecom data domains (CDR, network, billing, customer). Familiarity with data warehousing concepts and dimensional modeling (star/snowflake schemas).