Senior Network Data Analyst

: Senior Network Data Analyst / Network Performance Analytics Specialist Location: Sydney, NSW (Hybrid/Onsite) | Employment Type: Full-Time | Department: Network Analytics / Telecommunications About the Role We are seeking an experienced Senior Network Data Analyst to join our telecommunications analytics team. This role is ideal for a data professional who thrives at the intersection of network engineering and data science — turning raw telco data into actionable business insights through advanced SQL, Python, and BI-driven dashboards. Years of Experience Required • Minimum 8–10 years of overall experience in data analytics, business analysis, or network performance analysis within the telecommunications sector. • 3+ years specifically in a senior/lead data analyst capacity, including dashboard design ownership and stakeholder-facing reporting. • Prior exposure to multi-generation network technologies (2G/3G/4G-LTE/VoLTE/5G-NR) strongly preferred. Skills & Knowledge Required Technical / Analytical • Strong proficiency in SQL for querying and manipulating large, high-volume datasets and fetching meaningful insights • Working knowledge of Python for data analysis and automation • Advanced Power BI/ Tableau skills, including Power Query (M) and DAX • Familiarity with cloud data platforms — Microsoft Azure , Data Lakes , and ideally Google Cloud (BigQuery, GA, GTM) • Proficiency in Excel for ad-hoc analysis and reporting Automation & Collaboration Tools • Power Automate for workflow automation and reporting efficiency • SharePoint for document and data collaboration • Jira and Confluence for Agile project tracking and documentation Domain Knowledge • Understanding of telecom network KPIs (accessibility, retainability, mobility, throughput) • Familiarity with network management tools • Knowledge of network optimisation principles across 3G, 4G/LTE, VoLTE, and 5G-NR technologies Methodologies & Soft Skills • Agile/Scrum working experience Key Performance Indicators for the Role • Improvement in network performance metrics through data-driven interventions • Increased dashboard/report adoption and stakeholder engagement Reduction in manual reporting time through automation