Job Description: 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