Senior Data & Analytics Consultant
Senior Data Roles
Auckland
A bit about us
For over 18 years, ClearPoint has been the trusted technology partner for New Zealand’s most impactful organisations, navigating complex digital transformations through engineering, AI, and human-centred design.
Our Data Practice is growing, and we are looking for fresh new members to add to the team - a Senior Data & Analytics Consultant and a Principal Data Engineer - to help our clients turn data into their most valuable asset.
The ClearPoint culture
At ClearPoint, we’re proud of the culture we’ve built - collaborative, curious, and high-performing. Our values aren’t just words:
Respect and Care for People
Act with Integrity
Earn and Nurture Trust
You’ll work with sharp, passionate people who take ownership, raise the bar, and genuinely enjoy what they do. Based in Auckland, you’ll be part of a team that invests in your growth and makes space for you to shine.
The Role - Senior Data Analytics Consultant
You are the bridge between complex data architecture and business value. You don't just build reports; you design the semantic layer that empowers an entire organisation to make informed decisions.
Your Expertise (The 'T-Shape'):
Data Modelling: Mastery of semantic modelling and robust data architecture.
The Power Stack: Deep expertise in Power BI, including advanced DAX.
Modern Platforms: Strong background in cloud data environments like Microsoft Fabric, Snowflake, or Databricks.
Technical Coding: Strong SQL coding capability is a must.
Consulting Mindset: A solid understanding of business consulting, with the ability to translate stakeholder needs into technical excellence.
The Role - Principal Data Engineer
This is a high-impact leadership role within our practice. You are a master of the data lifecycle and a pioneer in the AI space, ensuring that every solution is built on a foundation of clean, scalable, and governed data.
Technical Mastery:
Platforms: Deep experience with Snowflake, Databricks, AWS, and Azure.
Programming: Profound skills in Python, SQL, and Java.
AI Integration: Deep knowledge of designing and implementing AI solutions and a passion for ongoing learning in the AI space.
Engineering Excellence: Advanced knowledge of data integration, transformation tools, and automated testing mindsets.
Strategic Leadership:
Strategy & Architecture: A holistic approach to data strategy that enables organisations to leverage data for maximum value.
Innovation: Guiding the practice’s strategic direction and building groundbreaking data propositions.
Growth: Transforming potential leads into successful partnerships and driving the adoption of modern data governance.
What makes an Ideal “ClearPointer”?
We are looking for creative, curious individuals who thrive in high-impact situations.
Communicators: You make complex ideas clear to both engineers and non-technical stakeholders.
Owners: You take ownership of outcomes and stay calm under pressure.
Mentors: You are self-assured without being arrogant, creating space for others to shine while consistently raising the bar.
Why ClearPoint?
Impactful Work: Projects that serve a large number of New Zealanders every day.
Growth & Learning: Annual training budget plus access to AWS, Google Cloud, Microsoft, and Salesforce resources.
Flexibility: We trust you to work where you are most productive, with co-working access across NZ and Australia.
Award-Winning Culture: Join an inclusive environment recognized as an AWS Social Impact Partner of the Year.
The Perks: Competitive remuneration, health insurance, subsidized gym, wellness workshops, and fresh barista coffee.
Ready to lead?
If you’re passionate about engineering and want to transform how businesses use data, we want to hear from you.
To apply: Send your CV and a brief introduction, including the role you are interested in, to debbie.murphy@clearpoint.co.nz.
ClearPoint is an equal opportunity employer committed to creating an inclusive environment. You must be eligible to work in New Zealand to be successful in this application.
20/2/26 - update on reqs:
Notes from meeting: Alignment of recruitment priorities for the Data Platforms team.
The original brief focused on securing a Principal or Lead Data Engineer with deep experience across modern data platforms such as Snowflake, Microsoft technologies, Fivetran, Databricks, Oracle, etc. combined with strong consulting capability. The ideal candidate would be technically exceptional, confident running client workshops, comfortable engaging senior stakeholders, and commercially astute - effectively a highly experienced consultant with both architectural depth and strong business acumen. We have agreed that this profile represents a bit of a 'unicorn'.
As a result, we're pivoting to a search toward a more attainable but still high-impact role, likely positioned as a Senior Data Analytics Consultant or Senior Data Analyst. This person would bring strong SQL coding capability, Power BI expertise (incl. DAX), strong semantic modelling and data architecture skills with a strong background in cloud data platforms (MS Fabric, Snowflake or Databricks) and a solid understanding of business consulting. While Deb will continue to keep an eye out for a Principal-level “unicorn”, the near-term focus will shift to defining and recruiting for this revised senior analytics role.
Data range: Left = pure engineering through to Right = business/consulting
Action: Ram, Scott and Elham will collaborate to develop the formal role spec for Jaco's review.