Analytics Engineering Manager

Sky Network Television; Auckland; On-site; NZD 180,000 - 230,000; Full time

Benefits offered by this job

Free Sky services

Sky Sport Now

Neon

Flexible culture

Career development

Health insurance discounts

Job summary

Sky Network Television seeks an Analytics Engineering Manager to guide a team shaping trusted, governed data for better decision-making. You’ll coordinate reusable data products and scalable analytics solutions across the business for reporting, insight, and decisions.

You’ll provide strong analytics engineering craft, offer SME guidance, and coach others through clear standards and shared technical practice. Travel to Mt Wellington or Auckland CBD is expected.

Qualifications

• 8+ years’ experience across data, analytics, BI, or analytics engineering delivering enterprise-scale data solutions.
• Proven people leadership experience including line management, coaching and workload planning.
• Deep analytics engineering craft expertise with SME capabilities across data modelling, transformation, testing, release management, and reusable data product delivery.
• Experience shaping delivery priorities across strategic initiatives, BAU activity, and operational support.
• Strong understanding of modern data architecture and platforms (Snowflake, dbt, AWS, GitLab, CI/CD, Power BI).
• Confident stakeholder and communication skills to translate business needs into scalable analytics solutions.

Responsibilities

• Guiding, coaching, and developing the Analytics Engineering team with clear priorities and development plans.
• Coordinating the analytics engineering delivery roadmap across strategic work, BAU, projects, and operational support.
• Establishing and embedding standards for data modelling, transformation, testing, deployment, documentation, and governance.
• Offering SME guidance on analytics engineering craft and supporting shared technical practice.
• Working with BI, Data Engineering, Product, Technology and stakeholders to translate priorities into scalable data products.
• Ensuring data quality, lineage, security, accessibility, retention, and governance practices are embedded.

Skills

Analytics engineering craft

People leadership

Stakeholder communication

Delivery planning

Governance

Data architecture understanding

Mentoring

Tools

Snowflake

dbt

AWS

GitLab

CI/CD tooling

Power BI

Job description

Jora New Zealand will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

As our Analytics Engineering Manager, you’ll guide the team that shapes how Sky uses trusted, governed data to support better decisions. You’ll coordinate the delivery of reusable data products and scalable analytics solutions for reporting, insight, and decision-making across the business.

You’ll bring strong analytics engineering craft expertise and offer subject matter guidance, while helping others do their best work through clear standards, coaching, and shared technical practice. Working closely with BI, Data Engineering, Product, Technology, and business stakeholders, you’ll help ensure Sky’s data products are reliable, accessible, well‑documented, secure, and fit for ongoing use.

This is a permanent, full‑time position with a strong focus on people leadership, stakeholder partnership, delivery planning, and governance of our analytics architecture and platforms. Due to location of teams and leaders this role supports, flexibility to travel to either of our Mt Wellington and Auckland CBD site is important to this role.

• Guiding, coaching, and developing the Analytics Engineering team, including setting clear priorities, expectations, and development plans.
• Coordinating the analytics engineering delivery roadmap across strategic work, BAU demand, project commitments, and operational support.
• Establishing and embedding standards for data modelling, transformation, testing, deployment, documentation, version control, release management, and data product governance.
• Offering SME‑level guidance on analytics engineering craft while supporting shared technical practice across the team.
• Working with BI, Data Engineering, Product, Technology, and business stakeholders to translate priorities into scalable, maintainable data products.
• Ensuring data quality, lineage, security, accessibility, retention, and governance practices are built into the way the team works.

You’re an experienced analytics engineering professional who can balance technical depth with people leadership, thoughtful delivery, and effective stakeholder partnership. You’re comfortable setting direction, improving standards, coaching technical specialists, and ensuring analytics architecture and platforms are governed, scalable, and aligned to business value.

• 8+ years’ experience across data, analytics, business intelligence, or analytics engineering, with a track record of delivering enterprise‑scale data solutions.
• Proven people leadership experience, including line management, coaching, performance conversations, workload planning, and capability development within technical teams.
• Deep analytics engineering craft expertise, with the ability to act as an SME across data modelling, transformation, testing, documentation, release management, and reusable data product delivery.
• Experience shaping delivery priorities across strategic initiatives, BAU activity, operational support, and competing stakeholder needs.
• Strong understanding of modern data architecture and platforms, such as Snowflake, dbt, AWS, GitLab, CI/CD tooling, Power BI or equivalent tools, as well as data warehousing, ETL/ELT patterns, metadata, lineage, data quality, security, and governance practices.
• Confident stakeholder and communication skills, with the ability to explain technical trade‑offs, influence priorities, and translate business needs into scalable analytics solutions.
• Free Sky, Sky Sport Now, and Neon
• A flexible, supportive culture where your ideas matter
• Great career development with real pathways to grow
• Discounted Southern Cross health insurance