CDO Reporting Analyst - Auckland - 63153 - Spark

General information

Location

Auckland

Expertise

Technology

Job Level

Experienced

Employment Type

Permanent full-time

Close Date

29-Jan-2026

Ref #

63153

Description & Requirements

CDO Reporting Analyst – Spark New Zealand

Location: Auckland
Employment Type: Full-time, Permanent
Salary: $75,000 – $95,000 per annum
Hours: 40 hours per week (no overtime required)

As New Zealand's largest telecommunications and digital services company, Spark's purpose is to help all of New Zealand win big in a digital world. We provide mobile, broadband, and digital services to millions of New Zealanders and thousands of New Zealand businesses.

We operate in an exciting and constantly evolving industry, where the pace of change brings new and unique challenges every day, so we operate using Agile ways of working to allow us to meet the fast-changing needs of our customers. Agile replaces the traditional hierarchical organisational structure to produce a transparent, collaborative environment with highly productive teams who are empowered to deliver better outcomes for our customers, communities, and all of New Zealand.

About the Role:

Spark Cyber Defence Operation (CDO) Automation and Enablement team is seeking a Reporting Analyst to join our established and expanding team. This role is pivotal in improving the security posture of Spark Group and Spark’s Managed Security Services customers.

Based in our Auckland office, you will collect and analyze data from security monitoring platforms and incident management tools, producing regular reports to support better decision-making aligned with cyber operations objectives. You will also play a key role in Spark’s Cyber Security AI initiatives, preparing and engineering data for machine learning models and utilizing advanced AI tools such as Snowflake Cortex and Azure AI Foundry. Additionally, you will help develop, configure, and launch AI/ML agents to enhance our security posture.

Day to day you will be involved in:

Collect and analyze cybersecurity data from SIEM tools, EDR systems, firewall logs, and authentication logs.
Prepare and engineer datasets for machine learning models.
Utilize platforms such as Snowflake or Databricks for large-scale data processing and analysis.
Develop and configure AI/ML agents using tools like Snowflake Cortex AI.
Create insightful reports and dashboards using Tableau, Power BI, or Python visualization libraries.
Conduct trend analysis and deliver actionable insights to stakeholders.
Collaborate on automation and enablement initiatives to strengthen Spark’s cyber defence capabilities.

What experience you'll bring?

Minimum Qualifications:

Bachelor of Science degree.
At least 18 months of relevant work experience.

Technical Skills & Experience:

Strong background in data analytics and visualization.
Practical experience with Snowflake or Databricks for data processing and analysis.
Proficiency in SQL and relational database management.
Fluency in Python, including libraries such as Pandas, NumPy, and Scikit-learn.
Solid understanding of Machine Learning principles.
Familiarity with Snowflake Cortex AI or similar embedded ML/Generative AI tools.
Experience with ServiceNow and SIEM reporting functions.
Knowledge of cybersecurity data sources (SIEM logs, EDR data, firewall logs).
Skilled in data visualization using Tableau, Power BI, or Python libraries.

Certifications (or equivalent experience) are preferable:

Snowflake Intelligence NorthStar certification.
Splunk SOAR certifications (Administering Splunk SOAR, Investigation Incidents, Developing SOAR Playbooks).
NVIDIA: Fundamentals of Deep Learning or equivalent.

Personal Attributes:

Detail-oriented, reliable, and methodical.
Comfortable with technical jargon and complex data sets.
Strong problem-solving and analytical mindset.

WHY CHOOSE US:

Diversity and Inclusion: Te Kanorau me te Whakawhāiti mai

At Spark, we are constantly looking for ways to build a more inclusive culture.  Our vision is for diversity and inclusion to be "how things are done at Spark", embedded into our day-to-day activities, standards, and business practices.  We want you to feel totally comfortable bringing your whole self to work regardless of your gender, ethnicity, orientation, age, or ability.

Sustainability: Toitū

Sustainability is a key focus for us.  We are dedicated to supporting Aotearoa New Zealand's recovery and economic transformation.  The principle of equity is at the very heart of our approach, and we remain committed to working in partnership to make a positive contribution to digital equity in line with our focus on Diversity and Inclusion.

Benefits: Awhina

Our people matter and we make sure we look after them. As a valued employee of Spark, we've got our people covered with a range of leading benefits including:

Wellbeing - Comprehensive medical insurance, life and income protection.  Access to wellbeing coaches, EAP and in-house Specialist Clinical support through our leading Mahi Tahi Wellness programme.

Hybrid ways of working - for most teams at Spark this means being in the office for 4 days a week, and 1 day being flexible.

Leave - in addition to four weeks annual leave, we offer purchased leave, enhanced parental leave support and study leave.

Spark Credit – we provide permanent employees with $120 monthly Spark credit to use on any of our amazing products.

Spark Share scheme – periodically we offer the opportunity to buy into our share scheme.

Career development – access to an internal marketplace that connects employees with experiential, on the job learning across Spark.

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