Senior Data Analyst

Key ResponsibilitiesPerform ad-hoc data diagnostic analysis and deliver insights to stakeholdersDesign and maintain semantic data models aligned to business requirementsBuild and maintain dashboards and reports in Tableau or LookerCollaborate with engineering teams on data quality and pipeline outputsApply telecommunications knowledge (network topology, KPIs, telemetry, asset lifecycle) to analytical deliverablesManage and communicate findings effectively to both technical and non-technical stakeholdersRequired Skills & ExperienceSQL & BigQueryAdvanced SQL (window functions, arrays and structs, DDL, DML, UDFs, CTEs)BigQuery computational model — partitioning, clustering, query optimisation, pricing model (on-demand vs slots)Understanding of BigQuery IAM access principlesExperience using GraphQLData ModellingNormalisation and denormalisationConceptual, logical, and physical modellingSCD and time series modellingMedallion architecture conceptTranslation of business requirements into modelling outputs (semantic layer focus)GCS (Google Cloud Storage)Bucket and blob structureStorage classes and retention policiesBucket access management via IAMGitLabBranch management, commits, mergesRepository maintenance best practicesTableau / LookerDashboard design and creationData connection and integration with BigQueryGIS DataKnowledge of GIS data and engines (coordinate conversions, common file formats, BigQuery GIS)Domain KnowledgeTelecommunications: network topology, KPIs, telemetry, asset lifecycleStakeholder ManagementProven experience in stakeholder engagement and communication on large-scale projectsNice to HaveDataform for SQL modelling and transformation tasks