2027 Graduate | Digital Assurance - Analytics | Auckland

Deloitte NZ; Auckland; Presencial; NZD 65.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Joining bonus

Professional qualifications subsidy

Paid study leave

Career development coaching

Social events and wellness benefits

Health insurance

Descripción de la vacante

Deloitte NZ is hiring a 2027 Graduate in Digital Assurance – Analytics in Auckland. You will join a small, high-performing Data Analytics team and deliver data-driven insights to enhance audit quality and client outcomes.

No prior experience required; you will receive induction, buddy/coach support, and hands-on learning from senior colleagues. You will work with modern tools like Databricks, Python, and Tableau to analyze large datasets and automate procedures, with opportunities for

Formación

• Analytical mindset and attention to detail with a passion for learning emerging technologies.
• Experience with coding languages such as SQL or Python is beneficial; training provided.
• Currently completing a bachelor’s degree in IT, Data Science, Commerce/Business, Science or Law with relevant majors.

Responsabilidades

• Work with clients to obtain, validate and synthesize large data sets for analysis.
• Identify patterns and anomalies and link them to audit risks.
• Support audit teams by performing reconciliations and providing data-driven insights.

Conocimientos

Analytical thinking

Detail oriented

Data visualization

SQL

Python

Tableau

Power BI

Educación

Bachelor's degree (IT/Data Science/Commerce/Business/Science or Law)

Herramientas

Databricks

Descripción del empleo

2027 Graduate | Digital Assurance - Analytics | Auckland

• Full-time
• Department: Audit, Assurance & Reporting Advisory | Digital Assurance

By starting your career at Deloitte, you are joining a community of extraordinary professionals who put ‘making an impact’ at the heart of what they do. With our global reach, unwavering support, inclusive atmosphere, and cutting-edge technology, you'll have the opportunity to evolve into your fullest potential.

A graduate role at Deloitte is the perfect introduction to your first full-time permanent role in a business. You start with a cohort of people just like you, who have recently completed their studies, and get hands‑on experience and support to apply your tertiary learnings in a real‑world context. People at Deloitte are the best at what they do and learning from high‑performers is a fantastic way to kickstart your growth and career.

Deloitte is committed to staying at the forefront of innovation, including the integration and responsible use of artificial intelligence (AI) in our solutions. We value adaptability and a growth mindset, recognising that AI is transforming the way organisations operate. By joining us, you’ll have the opportunity to develop skills that prepare you for the future of work and contribute to shaping how technology drives meaningful impact.

Graduates at Deloitte have a week‑long induction to learn about the business, get paired with a buddy and coach to help them find their place in the team, and build connections with almost 200 other graduates doing the exact same thing! You are not on a ‘programme’ and instead inducted into the business as a key member of the team from day one. Once you sign your contract with Deloitte, you will start in February the year following. Between the application process and your start‑date, we have many events and touchpoints, so you feel part of the Deloitte whānau before your first day and are greeted with friendly faces.

If you are interested in pursuing a professional qualification, Deloitte support this through paid study leave, subsidised courses, and training from senior members of the team. There are also many learning and development opportunities offered to our graduates outside of the professional qualification realm.

The Data Analytics landscape is diverse, innovative, and constantly evolving. As part of our Audit & Assurance business you will be part of the Data Analytics team within our Digital Assurance practice.

As a consultant, you will work in a small, high‑performing team and be responsible for working on a wider variety of projects and clients, delivering data driven insights to enhance audit quality, efficiency and client outcomes.

What You’ll Do

Using modern tools and techniques such as Databricks, Python and Tableau, you will be able to identify trends, anomalies, and risks within large datasets, as well as helping to automate manual, time‑consuming audit procedures.

Some of your potential responsibilities will include:

• Work with clients to obtain, validate and synthesise large financial and operational data sets for analysis, applying a critical lens to ensure the quality, accuracy, and completeness of the data
• Identify patterns, anomalies and/or exceptions and link them to audit risks to understand their potential impact
• Support audit teams by performing reconciliations, full population testing, and providing data‑driven insights into client’s financial processes

You will work alongside our auditors on client engagements, while also working closely with clients when needed to help obtain data in a timely, efficient and accurate manner.

You will have:

• No previous experience is required. Part‑time positions or internships in IT, accounting/finance, business analytics, law and customer service are beneficial
• An analytical and open mind, detail‑oriented, with a passion for learning about emerging technologies, tools and techniques. Experience with coding in a data analytics or other related context is preferred, but support will be provided via both formal and on‑the‑job training
• Currently completing a bachelor’s degree in fields including, but not limited to IT, Data Science, Commerce/Business, Science or Law majoring in Accounting, Economics, Finance, Statistics
• An adaptable and resilient attitude – you understand what it’s like to overcome obstacles through tenacity and hard work. You are meticulous with processes and inquisitive to solve problems and embrace change
• Experience with coding languages such as SQL or Python is highly beneficial, as well as data visualisation tools and techniques (Tableau, Power BI)

So, who is Deloitte in Aotearoa?

We are driven to create an impact that matters at every opportunity.Supported by a strongleadership team andmember firms from over 150 countries acrossthe globe, Deloitte in Aotearoa is in the business of solving complex problems.Over our 175‑year history, we have built a reputation for impactful delivery across all areas of our business.

Deloitte in Aotearoa recognises the uniqueness of our country identified in our founding document, Te Tiriti o Waitangi. We uphold our responsibility(s) to the founding document and acknowledge Māori as the Tangata Whenua/Indigenous people.

Our shared values are at the heart of everything we do. Living thesevalues, including ‘Manaaki/taking care of each other’ and ‘Hāpai tangata/fostering inclusion’,is essential toensuring everyone feels included at work andable to reach their full potential. Our values drive our desire to create positive outcomes for our clients, communities, and people.

We hold a simple belief – that our people’s hard work should be recognised and rewarded beyond their remuneration.

What we offer:

• A competitive salary and joining bonus
• Subsidised professional qualifications and paid professional memberships
• Study, birthday, annual and community volunteer leave
• Career development with regular personalised coaching
• Social events, sports teams, and monthly firm drinks
• A focus on wellness and well‑being
• Subsidised health insurance and income protection insurance
• Plus much more

What do you need to apply?

• An academic transcript (does not have to be official, but must show recent grades, your full name, and the name of the tertiary provider)
• The legal right to live and work in New Zealand

Deloitte Early Careers Team

We believe the strongest teams are made up of diverse individuals and we are proud to be an equal opportunities employer. We recognise that women and individuals from under‑represent‑ed backgrounds may hesitate to apply if they don’t meet all criteria.