Network Data Analyst

Detailed Job Description:

Job Description: Senior Network Data Analyst / Network Performance Analytics Specialist

Location: Sydney, NSW (Hybrid)

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