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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: 

As Chapter Lead for Advanced Analytics, you’ll be responsible for shaping how Spark harnesses data, analytics, and AI to drive better decisions, faster.

The role includes a combination of people leadership for a team of Analytics Engineers, technical strategy, business stakeholder engagement, and hands-on delivery. We hire for impact, not effort – you'll be accountable for outcomes the business can measure.

You will help to define the future of analytics at Spark, including the establishment of a unified semantic layer, driving adoption of AI-enabled self-service analytics, and embedding a data-driven culture across the business.

Your chapter will look to you for technical direction, coaching, and advocacy; our business stakeholders will rely on you as a trusted partner and translator between data capability and commercial outcomes. You’ll lead by example in applying modern analytics engineering practices.

Day to day you will be involved in: 

·         Leading, coaching, and developing a chapter of Analytics Engineers, fostering a high-performance and inclusive team culture

·         Setting and enforcing standards and best practices for the chapter

·         Driving the adoption of AI-enabled self-service analytics across the organisation

·         Owning and evolving the Advanced Analytics technical roadmap, with a near-term focus on establishing a unified semantic layer

·         Hands-on delivery of analytics solutions within an Agile squad

·         Leading by example in applying modern analytics engineering practices

·         Partnering with business leaders to identify and prioritise high impact opportunities to leverage data & analytics to drive commercial outcomes

What experience you'll bring?

• Demonstrated experience leading data & analytics teams
• Strong technical proficiency in cloud data platforms, e.g. Snowflake, and BI tools, e.g. Power BI
• Implementation of advanced analytics & ML solutions
• Hands-on exposure to AI concepts and practical experience applying LLMs or AI agents to analytics or data workflows
• Track record of engaging senior business stakeholders and translating data & analytics capability into measurable outcomes
• Experience working in agile delivery environments
• Demonstrated ability to balance strategic long-term vision with pragmatic near-term delivery

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.

 Due to the nature and urgency of this role, we are only considering applicants that are based in New Zealand with permanent residency, citizenship, or a valid work visa (with at least 18 months remaining).