Data and analytics jobs in New Zealand.

Shaping data architecture · Developing architecture roadmaps · Leading solution design

Evaluating governance standards · Reviewing data workflows · Identifying compliance risks

Experience in healthcare data governance, clinical data management, or health information operations; strong command of healthcare privacy and regulatory frameworks, including HIPAA

Governing biotech data · Defining data policies · Enabling secure access

Experience leading or implementing data governance programs in biotech, life sciences, clinical research, or similarly regulated environments; familiarity with data privacy, security, and compliance requirements for research and clinical trial data

Analysing performance data · Preparing reports and presentations · Communicating practical insights

Implementing governance frameworks · Supporting data stewards · Delivering learning programmes

Experience defining and embedding information and data governance frameworks; experience developing capability programmes; experience with complex information environments; knowledge of security, privacy, risk and compliance; experience designing and delivering learning programmes

Building data solutions · Optimizing SQL workloads · Supporting data platform

Demonstrated experience operating business-critical data platforms, advanced SQL, SSIS, Azure data platforms, dimensional modeling, Git, CI/CD, and mentoring; SAP ERP experience beneficial.

Analyzing performance data · Preparing reports · Explaining findings

No previous experience required; inquisitive mind, attention to detail, clear communication, collaborative mindset, and comfort with numbers.

Designing analytics solutions · Leading data architecture · Mentoring consultants

Strong hands-on SAP BW experience; experience with modern SAP data and analytics technologies; experience designing enterprise data models, reporting solutions and end-to-end data flows; understanding of SAP analytics architecture and integration; experience leading analytics delivery or solution architecture; requirements gathering and stakeholder management; legally entitled to work in New Zealand

Analyzing product data · Investigating issues · Building business rules

Proven experience in product, data or business analytics within banking or financial services; hands-on SAS, Tableau, SQL (Teradata Studio); strong analytical, problem-solving, stakeholder engagement, and communication skills.

Building intelligence workflows · Analyzing audience demand · Mapping audience networks

Master's degree or higher in Computer Science, Statistics, Data Science or related field; strong Python and SQL; hands-on experience with APIs, data wrangling, statistical analysis; AI-native habits; internet and pop-culture fluency; communication and ownership.

Building data pipelines · Optimizing data models · Collaborating with teams

Deep understanding of data warehousing and modern data engineering; experience with Snowflake or equivalent; advanced SQL and dbt; familiarity with data governance; agile and DevOps experience; strong communication and collaboration skills.

Supporting clinical audits · Managing clinical data · Developing audit reports

Postgraduate qualification in health science, statistics, mathematics, or clinical research preferred; background in science or data analysis preferred; advanced Microsoft Office skills; clinical knowledge in ambulance or emergency care advantageous.

Shaping data structures · Building analysis models · Coaching analysts

Broad senior-level analytics or commercial experience; practical SQL; data querying, modelling, and end-to-end analysis; coaching analysts; relevant degree in data science, economics, finance or related; right to work in New Zealand.

Leading evaluations · Providing research expertise · Mentoring team members

Master's or PhD-level qualification or equivalent experience in epidemiology, health sciences, public health, science, social science, applied research methods, or behavioural science; strong research and evaluation design skills; extensive data management and statistical analysis experience using R and SQL; experience with linked data in IDI.

Leading economic analysis · Developing decision-ready insights · Collaborating across teams

Experienced economist or principal-level analyst with strong applied economics, investment analysis, modelling, forecasting or cost-benefit expertise; relevant qualification in economics or related discipline or equivalent experience.

Performing data annotation · Auditing AI outputs · Identifying data inconsistencies

English language command; dependable high-speed internet; personal computer meeting minimum system requirements; residency and work authorization in the United States or Canada

Designing data ingestion solutions · Building data pipelines · Establishing system connectivity

Production-grade data engineering experience; advanced hands-on Snowflake, dbt and SQL experience; data ingestion and integration experience; networking and enterprise integration knowledge; Power BI experience; currently based in New Zealand with valid work rights

Preparing text examples · Applying language tags · Checking incomplete entries

At least 18 years old; able to communicate in English; able to read instructions and label simple English examples; able to identify missing information and ask clear follow-up questions; reliable high-speed internet and suitable home-working setup; resident in an eligible country

Preparing text examples · Applying routine labels · Tracking review status

At least 18 years old; able to communicate in English; able to read short English text and apply routine labels; able to track review status; reliable high-speed internet and suitable home-working setup

Tagging complex data · Evaluating AI responses · Documenting recurring errors

English proficiency; high-speed internet and a personal computer meeting system requirements; residence in an eligible country, with the requirements section specifying the US or Canada; ability to work standard North American hours

Facilitating workshops · Documenting business requirements · Supporting testing activities

Business analysis experience across complex programmes or projects; experience supporting MDMfA or enterprise MDM initiatives

Labeling datasets · Reviewing model outputs · Flagging data inconsistencies

Native-level English fluency; secure home office, modern computer and fast, reliable internet; currently residing in an eligible country; able to work standard North American hours; the ad also specifies current US or Canada residence

Owning reporting products · Prioritising product improvements · Coaching analysts

Experience owning and improving reporting or analytical products; experience with portfolio, programme and project performance data in a large or complex organisation; working knowledge of Power BI; legal right to live and work in New Zealand

Processing multimodal data · Auditing AI outputs · Improving data taxonomies

Experience in quality assurance, content moderation, research, or data validation; native-level English; stable high-speed internet (minimum 25 Mbps); private workspace; currently based in the United States or Canada

Selecting language judgments · Identifying meaning-changing wording · Explaining difficult judgments

At least 18 years old; able to communicate in English; able to interpret common English wording in context; able to make careful choices and explain them in plain English; reliable high-speed internet and suitable home-working setup

Selecting data labels · Checking label consistency · Flagging ambiguous examples

At least 18 years old; able to communicate in English; must reside in Australia, Canada, Ireland, New Zealand, the United Kingdom or the United States; reliable high-speed internet and suitable home-working setup

Labeling datasets · Reviewing model outputs · Escalating ambiguous inputs

Native or professional-level English; stable high-speed internet connection (minimum 25 Mbps); private workspace; residency and work authorization in the United States or Canada

Processing data records · Comparing source details · Recording data findings

At least 18 years old; able to communicate in English; able to process records consistently and distinguish confirmed findings from unresolved questions; reliable high-speed internet and suitable home-working setup; must reside in an eligible country

Checking task and label alignment · Identifying ambiguous examples · Reviewing dataset coverage and difficulty

Must reside in Australia, Canada, Ireland, New Zealand, the United Kingdom or the United States; at least 18 years old; able to communicate in English; reliable high-speed internet and suitable home-working setup