Data Analyst - Ai jobs at Ey in New Zealand, Auckland

Requisition Id : 1642786

Your key responsibilities

Technical Excellence

Maintaining all the records in system & excel depending upon the task.
Validation of information & documents.
Ascertain verification from sources as per client guidelines.
Follow up through call or emails with HR SPOC/Institute/Colleges/Universities for closing verifications or calling the candidates to collection information or documents.
Coordinate with verification sources and update internal database.
Closures of verification checks as per the defined time.
Coordination with other operations department for closures (if required)
Good written and verbal communication skills (English Language)
Analytical bent of mind.
Focused
Target Oriented

Skills and attributes

To qualify for the role you must have
Qualification

· Prior experience in a Transformation projects in banking domain is a great plus with Business requirements gathering, stakeholder’s management & strong presentation skills.

· Traceability of business requirements into solution design to confirm linkage of business

· 4+ Years

· Market Research , Company Profiling, Secondary Research

What we look for

People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach.

What we offer

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Nāu te rourou, nāku te rourou, ka ora ai te iwi

In line with client requirements, this role is based in eitheroffice. Our roles can potentially be adjusted to work flexibly with reduced hours. Please speak with us about potential options.

Ko Tō Rourou | Your key responsibilities

• Data modelling and the design and build of data pipelines to ingest and transform data.
• Integrate Snowflake with Cortex to facilitate seamless data ingestion processes.
• Design and train machine learning models on Cortex based on a defined set of business questions and requirements.
• Develop and implement user interfaces using tools like Streamlit that allow users to interact with models using natural language queries.
• Collaborate with cross-functional teams to understand data needs and translate them into technical solutions.
• Provide technical leadership and mentorship to junior data engineers, fostering a culture of continuous learning and improvement.
• Stay updated with the latest industry trends and technologies to ensure the team remains at the cutting edge of data engineering practices.

Skills and attributes for success

Proven experience in:

• Snowflake.
• Data modelling using a range of data modelling methodologies, including 3rd normal for, Star Schema and Big wide tables.
• Data engineering and building scalable, robust data pipelines using tools such as DBT.
• Integrating Snowflake with data processing frameworks, particularly Cortex.

Ideally, you’ll also have the skills and attributes below but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn.

• An understanding of machine learning concepts and experience in designing and training models.
• Proficiency in building interactive user interfaces using Streamlit or similar frameworks.
• Excellent problem-solving skills and the ability to think critically about data challenges.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Demonstrated experience in technical leadership or mentorship roles, guiding junior team members towards success.
• A proactive and collaborative mindset, with a passion for leveraging data to drive business outcomes.

At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .

• Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences
• Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.
• A comprehensive benefits package : From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.

© 2025 Ernst & Young New Zealand. A member firm of Ernst & Young Global Limited. All Rights Reserved. Liability limited by a scheme approved under Professional Standards Legislation.

Nāu te rourou, nāku te rourou, ka ora ai te iwi

As ain ourteam, you’ll play a key role in deliveringHolidays Act remediationservices across various sectors. You’ll be part of large, cross-functional project teams addressing complex challenges and delivering outcomes that positively impact some of Aotearoa’s largest organisations and their people.

You’ll work with large, complex datasets—translating them into insights and analytical models using tools such asAlteryx, Python, and SQLto drive business decisions and ensure compliance.

This role is based in ouroffice.

Ko Tō Rourou | Your key responsibilities

• Act as a high-performing team member on Holidays Act remediation programmes by identifying key issues and delivering high-quality outputs using your knowledge of business systems and data analytics to offer practical client solutions.
• Support other team members in understanding data requirements, ensuring quality delivery, and enhancing technical outputs.
• Analyse large data sets and develop models to support decision-making, translating business requirements into data-driven solutions .
• Provide technical guidance and support to team members in developing their SQL and Python capabilities, while reviewing modelling outputs for quality and alignment with business needs - including testing and documentation.

To thrive in this role, you'll need:

• 3 – 5 years of strong working knowledge of the NZ Holidays Act and how it interacts with business systems and processes.
• Advanced data analytics and modelling skills , with the ability to uncover trends, patterns, and insights.
• Familiarity with ETL frameworks and tools such as Alteryx and Microsoft SSIS .

In addition, the following would be highly regarded (but not essential)—we value your growth mindset and willingness to learn:

• Experience with databases such as SQL Server .
• Comfort working with large datasets, with proficiency in SQL, Python , or similar data languages.

At EY, we’ll support your unique strengths and help you reach your full potential in a diverse and inclusive environment of globally connected teams.

• Career development – We invest in your growth with future-ready skills and world-class experiences. Learn more
• Flexible work – Our flexible policies empower you to thrive both at work and at home.
• Benefits that support you – From wellness incentives and 8 weeks of additional flex leave to 26 weeks of paid, gender-neutral parental leave—we help you live your best life. Explore benefits
• Competitive salary – We offer a market-aligned package, negotiable based on your experience and skills.

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.

© 2025 Ernst & Young New Zealand. A member firm of Ernst & Young Global Limited. All Rights Reserved. Liability limited by a scheme approved under Professional Standards Legislation.

As an AI & Data Engineer at the manager rank, you will design, build, and implement scalable data solutions to support our clients to realise value from their data investments. You will be responsible for leading a small team of data engineers, business analysts and testers to deliver the solution and provide technical leadership to them.

Integral to our AI & Data team, you will provide continuous process improvement and identify innovative solutions through research and analysis, insight and experience of leading practices. Further responsibilities may include:

Ko Tō Rourou | Your key responsibilities

• Building and enhancing data pipelines and storage so that data is clean, accurate, and optimised for consumption
• Engage with client technical teams and architects so that your proposed design is understood and endorsed to proceed
• Work with other data and analytics professionals and teams to industrialise analysis into an analytics solution
• Apply depth of expertise to guide mor junior staff to recommend quality solutions

In line with client requirements people need to be based in Auckland or Wellington.

Ideally, you’ll have the skills and attributes below but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn.

• Strong knowledge of the concepts, techniques, and methodologies of delivering scalable data solutions including data ingestion, storage, modelling and engineering
• Experience in tools and methodologies that underpin and support a complete software delivery lifecycle
• Experience in mentoring and leading teams to be productive in delivery to client expectations, while being mindful of their personal objectives and wellbeing
• Ability to learn quickly, based on a solid base of foundational knowledge of how data solutions are successfully implemented and delivered
• A desire to communicate and deliver solutions in a client centric way that support their business outcomes

At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .

• Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences

• Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.

• A comprehensive benefits package : From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.

© 2025 Ernst & Young New Zealand. A member firm of Ernst & Young Global Limited. All Rights Reserved. Liability limited by a scheme approved under Professional Standards Legislation.

Ko te rourou kei ō ringa I The choice is yours

As our Senior Consultant in the Risk Remediation team, you’ll deliver Holidays Act remediation services to clients across a range of sectors. You can expect to work on large-scale remediation projects with a motivated team across different geographies, creating solutions to complex problems and resolving issues for some of New Zealand’s largest organisations and their people. This will involve translating large and complex data sets into business insights and modelling using data programming languages and tools such as Alteryx, Python and SQL.

• Be a high performing team member on NZ Holidays Act remediation programmes by identifying issues; delivering high quality outputs, using your skills and knowledge of business process/systems, and data to provide practical solutions to clients.
• As a Senior Consultant, support other team members of the team in their understanding, delivery, quality outputs and data management.
• Processing large data sets and delivering analysis to assist with decision making. Translating business requirements into modelling solutions.
• Training or supporting team members to develop their data query and programming abilities (SQL and python experience required). Reviewing modelling outputs to business and technical requirements - Develop test plans, execute and analyse tests and document results.

He Rourou Pūmanawa I What we look for

To be successful in this role, the following attributes are required:

• Strong experience and understanding of the NZ Holidays Act requirements and detailed business processes/systems and activities.
• Excellent data analytics and modelling skills – the ability to identify trends, patterns and insights from data.
• Understanding of ETL frameworks and ETL tools including Alteryx and Microsoft SSIS.

Ideally, you’ll also have the skills and attributes below but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn.

• Understanding of databases such as SQL Server.
• Ability to work with large data sets; proficiency using SQL / Python or equivalent data query/ programming languages.

At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .

• Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences
• Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.
• A comprehensive benefits package : From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally
• Salary: We offer a competitive salary which is open to negotiation pending on skills and experience.

The salary range for this role is NZD 85000 to NZD 111000 dependent on skills, experience and work location. The full-time role is for a minimum 37.5 hours per week.

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.

© 2025 Ernst & Young, New Zealand. A member firm of Ernst & Young Global Limited. All Rights Reserved. Liability limited by a scheme approved under Professional Standards Legislation.

Ko te rourou kei ō ringa I The choice is yours

As a Consultant ranked Data Analyst in the AI & Data service line at EY, you will play a pivotal role in supporting high-impact projects. You will work directly with clients to understand their business needs; and design, build and test data models, data pipelines, advanced analytics models, intuitive dashboards or AI solutions that drive measurable value.

• Supporting project teams, and stakeholders, contributing to the successful delivery of complex initiatives.
• Stay abreast of the latest advancements in data and AI, contributing to the continuous enhancement of our service offerings.
• Knowledge of AI and Data will be instrumental in helping clients navigate the rapidly evolving landscape of AI and data, ultimately enabling them to achieve their strategic goals.

He Rourou Pūmanawa I What we look for

The ideal candidate will possess a background in data analysis, data science, artificial intelligence, or analytics, with an ability to learn how to apply their knowledge to help address complex business problems in a consulting environment. The background could come from either studies or from direct experience as this role is suitable for those starting out, or within the first two years of their career.

Ideally, you’ll also have the skills and attributes below but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn.

• Support AI and data projects from inception to completion, ensuring timely delivery and high-quality outcomes.
• Help collaborate with clients to understand their business needs and develop tailored AI and data solutions that drive value and achieve strategic objectives.
• Help to design, develop, and implement data and AI solutions to solve business problems.
• Conduct data analysis, data engineering and/or data visualization to uncover insights and support decision-making processes.
• Support by providing technical expertise and fostering a culture of continuous learning and development.
• Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
• Have a degree in a business of data related discipline.
• Ideal but not essential would-be practical knowledge with one or more of the following; Snowflake, PowerBI or Databricks.

At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .

• Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences

• Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.

• A comprehensive benefits package : From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.

© 2025 Ernst & Young New Zealand. A member firm of Ernst & Young Global Limited. All Rights Reserved. Liability limited by a scheme approved under Professional Standards Legislation.