Data and analytics jobs in Auckland.

Managing reconciliation activities · Investigating discrepancies · Improving processes

Experience in data analysis, process development or improvement; proficiency in Excel, Databricks, SQL, Python, Power BI; strong analytical thinking and attention to detail; right to work in New Zealand.

Leading data engineering teams · Architecting data platforms · Managing project delivery

Expertise across Databricks Lakehouse Platform; experience with GenAI on Databricks; advanced proficiency in Python, PySpark and SQL; experience with streaming and batch pipelines; deep experience across AWS, Azure or GCP; ability to lead large distributed teams

Building data platforms · Developing production data models · Delivering strategic data projects

Production data engineering experience; hands-on Snowflake and SQL experience; dbt production experience; ingestion and orchestration experience; data modelling experience; regulated-industry experience; must be eligible to work in New Zealand

Designing data services · Building engineering frameworks · Mentoring engineering teams

5+ yrs5+ years’ experience in Data, Software or Platform Engineering; at least 3 years working on cloud-based data platforms; expertise in Python, SQL and modern data platforms such as Snowflake; experience designing, building and supporting end-to-end production solutions

Analysing business data · Developing dashboards · Transforming data workflows

1+ yrData analysis and interpretation proficiency; SQL proficiency; Python experience; Power BI and/or Tableau dashboard experience; minimum 1 year of relevant experience; bachelor's degree in a relevant field

Monitoring fraud alerts · Interrogating data · Coaching colleagues

3+ yrs3+ years fraud prevention or customer protection experience in banking/financial services; understanding of financial fraud and legislative requirements; experience resolving escalations; coaching and continuous improvement; PRM or similar fraud detection system; advanced Excel and SQL.

Leading analytics initiatives · Designing analytics layer · Delivering insights

5+ yrsTertiary qualification in data science, statistics, mathematics, computer science or related field, or equivalent industry experience; 5+ years analytical experience; advanced SQL, Python, Power BI, Databricks, Azure; strong stakeholder management.

Analyzing customer data · Developing analytics solutions · Communicating actionable insights

5+ yrsTertiary qualification in a relevant field or equivalent industry experience; 5+ years in analytical roles; advanced proficiency with SQL, Python, Power BI, Databricks and Azure Data Platform

Designing advanced challenges · Authoring ground-truth solutions · Auditing AI-generated code

Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis; foundational knowledge in supervised/unsupervised learning, deep learning, big data technologies, or NLP

Analyzing complex datasets · Uncovering market trends · Presenting commercial recommendations

Extensive experience in data analysis, business intelligence or related role; advanced SQL skills; proficiency in Power BI; expert-level Excel skills; strong commercial acumen; solid commercial analysis experience including NPV and payback period

Analyzing data impacts · Translating technical requirements · Automating change detection

Strong SQL and data analysis skills; experience with data lineage, metadata, source-to-target mapping, data quality, and impact analysis; ability to translate changes into technical requirements; automation experience preferred.

Investigating source-system changes · Translating analysis into requirements · Developing automated change detection

Analysing customer datasets · Building visualisations and reporting · Presenting insights and recommendations

Intermediate experience in an analytical role working with complex data; proficiency in SQL, Power BI, Oracle BI, Databricks and Excel; tertiary qualification in Finance, Economics, Analytics or Mathematics, or equivalent experience

Validating client datasets · Identifying audit risks · Performing audit testing

Currently completing a bachelor's degree in a relevant field, including IT, Data Science, Commerce/Business, Science, or Law with an Accounting, Economics, Finance, or Statistics major

Governing research datasets · Defining data policies · Resolving data quality issues

Experience leading or implementing data governance in biotech, life sciences, clinical research, or regulated data environments; knowledge of data privacy, security, compliance, and regulatory expectations for research and clinical trial data

Building scalable data solutions · Analyzing complex datasets · Delivering business insights

5+ yrs5+ years using SAS and SQL; experience with complex data and high-quality reporting in a large, complex organisation; experience translating business requirements into data solutions; knowledge of financial services and banking metrics

Leading health engagements · Advising senior stakeholders · Developing client propositions

Managing Snowflake platform · Running ingestion pipelines · Applying governance controls

5+ yrs5+ years building and operating production data pipelines; strong experience with Snowflake and Azure, with ADF or similar ingestion tooling; excellent SQL and modern languages such as Python; experience with GitHub, DCM, database deployment and infrastructure as code

Supporting data platforms · Building data pipelines · Monitoring workloads

5+ yrs5+ years SQL Server data warehouse experience, 3+ years ADF and Azure Synapse, Bachelor's degree in computer science or related field or equivalent practical experience, strong SQL and operational support skills.

Maintaining data pipelines · Monitoring production workloads · Building modern data platforms

3+ yrs5+ years supporting and developing SQL Server-based data warehouse platforms, including production support; 3+ years with ADF and Azure Synapse; bachelor's degree in a related discipline or equivalent practical experience

Shaping data architecture · Developing architecture roadmaps · Leading solution design

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

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.