Data and analytics jobs in Auckland.

Operating data platforms · Improving platform reliability · Defining platform roadmaps

Leadership experience in Data and AI operations, platforms or engineering support; Azure data technology knowledge, especially Databricks and Power BI; platform roadmap and operational strategy experience; ITIL and service management knowledge; experience leading technical teams and managing vendors

Improving procurement processes · Optimising business systems · Enhancing analytics reporting

5+ yrsAround 5 years' experience in business or data analysis roles; experience optimising systems and processes and managing requirements and constraints across the delivery lifecycle; working knowledge of data analytics reporting, design and data quality

Evaluating AI-generated analyses · Reviewing population health outputs · Providing structured feedback

Experience working with healthcare, public health, or population-level datasets; strong analytical background; familiarity with data visualization, dashboards, or health reporting tools

Analysing business performance · Building dashboards and reports · Validating business metrics

5+ yrs5+ years in data analysis or BI; advanced SQL; hands-on dbt experience; strong Excel and a BI tool; experience with a cloud data warehouse; hands-on use of Claude or similar AI tools; confidence with senior stakeholders

Evaluating AI outputs · Reviewing healthcare datasets · Providing structured feedback

Experience with healthcare data, EHR systems, or clinical reporting platforms; background in data interpretation, reporting, or trend analysis; familiarity with clinical and administrative healthcare workflows

Producing HR reports · Analysing HR data · Managing HR systems

HRIS, payroll and data analytics background; advanced Microsoft Excel; experience writing SQL select queries, PowerBI reports and VBA macros; NZ citizen or permanent resident meeting residency criteria; clear police record; suitable for higher-level security clearance; pass drug testing

Analysing business challenges · Eliciting stakeholder requirements · Designing data models

3+ yrs3+ years' experience in consulting, professional services, technology, or data-focused roles; strong experience developing conceptual, logical and physical data models; proficiency with data modelling and diagramming tools; experience using SQL and/or Python

Owning trade reporting · Analysing promotional ROI · Preparing category presentations

1+ yr1–3 years’ experience in a Sales Analyst, Category Analyst, Commercial Analyst, VMI or Account Executive support role; advanced Microsoft Excel and PowerPoint; experience with at least one major retail data platform; full NZ working rights

Designing data pipelines · Optimizing Snowflake architecture · Mentoring engineers

8+ yrs8+ years data engineering experience with 3+ years in senior/lead capacity; expertise in Snowflake, ANSI SQL, Python, JavaScript, Git/Bitbucket, AWS services; bachelor's degree in computer science or equivalent; strong mentoring and stakeholder communication skills.

Leading system implementation · Improving business processes · Developing data insights

Experience in business analysis, systems implementation, digital transformation, or process improvement; strong data analysis and advanced Excel skills; experience with business systems, reporting tools, or data migrations

Analyzing datasets · Building models · Supporting optimization

Strong technical and analytical capability from professional or tertiary experience; experience with SQL, Python, R, Power BI or similar; ability to work with complex datasets and communicate clearly.

Developing data pipelines · Monitoring system health · Resolving pipeline issues

10+ yrs10–12 years of experience; experience with Palantir Foundry, PySpark, Python, SQL, AWS, ACE and EBard; extensive knowledge of data pipelines

Analyzing data · Building dashboards · Partnering with teams

2+ yrs2+ years data-focused experience; strong SQL, Power BI, and data analysis skills; relevant degree or equivalent experience; strong communication and stakeholder skills.

Leading data strategy · Overseeing platform transition · Developing engineering teams

10+ yrsAt least 10 years’ experience in data and analytics roles; five or more years in senior or technical leadership positions; experience leading teams through the complete data migration lifecycle; relevant technical or professional degree

Developing analytics standards · Building reusable data assets · Migrating enterprise data assets

Experience in analytics, reporting and technical leadership; leading implementation of a new platform or technology; designing and implementing scalable analytics processes; leading organisational data-literacy and capability uplift

Analyzing sales data · Developing insights · Building reporting tools

Prior experience in retail/merchandise analytics or similar; strong analytical and problem-solving skills; understanding of retail metrics; strong Excel and Power BI skills; ability to translate analysis into recommendations.

Leading engineering engagements · Designing data platforms · Mentoring engineering team

7+ yrs7+ years data engineering or analytics engineering experience including 2+ years leading technical teams; strong Databricks, SQL, Python, data modelling, cloud (Azure/AWS/GCP), CI/CD, and visualization skills; NZ work rights required.

Analysing clinical data · Preparing audit reports · Supporting clinical research

Advanced Microsoft Office skills; confidence working with databases and large data sets; experience preparing reports and presenting findings

Managing insights · Analyzing data · Supporting marketing

No specific experience or education requirements stated.

Building data models · Integrating new data sources · Monitoring production pipelines

4+ yrs4+ years' commercial data engineering or related experience; hands-on experience with a modern cloud data warehouse; transformations and automated tests using dbt or similar; strong SQL and data modelling; production data-pipeline experience

Developing account plans · Analyzing market trends · Managing business projects

4+ yrsTertiary qualification in marketing, business or related field; 4+ years account or category management experience, preferably FMCG; proficiency in IRI Aztec/Circana Temple, Nielsen, PowerBI, and advanced MS Word/Excel/PowerPoint.

Building data models · Delivering analytics outputs · Gathering business requirements

3+ yrs3+ years’ experience with databases, business intelligence tools, and data analysis in a business environment; strong SQL capability and hands-on Snowflake and dbt experience; practical CI/CD and version control experience; experience in requirements analysis, business process mapping, data modelling, and enterprise data solutions

Monitoring digital performance · Identifying customer friction · Developing performance reporting

Experience with digital analysis or relevant analytics; experience using Adobe Analytics and/or Google Analytics

Building analytics products · Deploying production datasets · Mentoring junior engineers

6+ yrs6+ years across modern data platforms, business intelligence and analysis; at least 2 years using dbt or similar; advanced SQL; experience designing cloud data solutions, gathering requirements, modelling data, version control and CI/CD

Translating research insights · Building stakeholder capability · Leading team workflows

Experience in insights, research, analytics or data-driven business partnering; experience translating complex evidence into actionable recommendations; experience leading, coaching and prioritising a team

Designing data products · Building data models · Mentoring junior engineers

6+ yrs6+ years experience in data platforms, BI, and analysis; 2+ years with dbt or similar; advanced SQL; experience with data architecture, ETL/ELT, governance, version control, and CI/CD using GitLab; strong communication and mentoring skills.

Leading team · Partnering with business units · Translating insights into recommendations

Proven experience in insights, research, analytics or data-driven business partnering; strong track record translating complex evidence into actionable recommendations; excellent stakeholder engagement and communication; commercial acumen; experience leading and coaching a team.

Leading data team · Delivering analytics products · Partnering with stakeholders

Significant people leadership in data/analytics/technology; experience leading multidisciplinary teams; strong data platform knowledge; manage roadmaps and stakeholders; collaborative leadership; relevant certifications advantageous.

Conducting risk monitoring · Analyzing operational data · Supporting risk investigations

Bachelor’s degree or above; proficiency in Microsoft Excel; English and Chinese; willingness to work non-standard New Zealand business hours