Data Modeller – Consultant / Senior Consultant

Deloitte NZ

Auckland

On-site

NZD 90,000 - 150,000

Full time

6 days ago
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Benefits offered by this job

Flexible work arrangements
Subsidised professional qualifications
Subsidised health insurance
Income protection insurance
22 days annual leave
Social events and firm activities

Job summary

Deloitte NZ in Auckland is seeking a Data Modeller to join the AI & Data team as a Consultant / Senior Consultant. You will translate complex business problems into data models and insights, collaborating with data engineers, scientists, architects and business stakeholders to deliver modern data and analytics solutions.

You will design conceptual, logical and physical models, analyse data quality, support governance, and help advance AI-enabled platforms across government and industry.

Qualifications

  • 3+ years' experience in consulting, professional services, technology, or data-focused roles.
  • Strong experience developing conceptual, logical and physical data models.
  • Excellent analytical, problem-solving and investigative skills.
  • Experience translating business requirements into structured data entities, relationships and models.
  • Strong stakeholder engagement and communication skills, with the ability to work across business and technical teams.
  • Proficiency with data modelling and diagramming tools such as Sparx Enterprise Architect, Lucidchart, Mermaid, Protégé or similar.
  • Experience using SQL and/or Python for data analysis, validation and investigation.
  • Understanding of data warehousing, dimensional modelling, data governance and modern data architecture principles.
  • Strong documentation skills and attention to detail.
  • An interest in emerging technologies, including AI and their application to data and analytics.
  • A passion for continuous learning and professional development.

Responsibilities

  • Analysing complex business challenges and conducting structured investigations to identify data, information and reporting needs.
  • Engaging with business stakeholders, clients, data engineers, architects and technical specialists to elicit, clarify and document requirements.
  • Translating business processes and real-world scenarios into well-defined data entities, attributes, relationships and information flows.
  • Designing, developing and reviewing conceptual, logical and physical data models that support analytics, reporting, AI and business transformation initiatives.
  • Creating clear and accurate data models, diagrams, mappings, definitions and technical artefacts to communicate data structures and design decisions.
  • Performing data analysis, profiling and discovery activities to identify opportunities, risks, data quality issues and improvement initiatives.
  • Supporting data architecture, data governance and information management practices to improve data quality, consistency, accessibility and usability.
  • Collaborating with Data Engineers, Data Scientists, Solution Architects and business stakeholders to deliver scalable end-to-end data and AI solutions.
  • Contributing to the design and implementation of modern data platforms, analytics capabilities and information management solutions.
  • Facilitating workshops, stakeholder engagement sessions and requirements gathering activities to drive alignment and outcomes.
  • Advising stakeholders on best practices in data modelling, data management, analytics and emerging data technologies.
  • Supporting proposal development, demonstrations and business development activities where required.
  • Staying current with emerging trends, tools and practices across data, analytics, AI and information management.

Skills

Data modelling
Analytical mindset
Stakeholder engagement
SQL
Python
AI / analytics awareness

Tools

Sparx Enterprise Architect
Lucidchart
Mermaid
Protégé
Power BI
Tableau
Qlik
Jira
Confluence

Job description

Data Modeller – Consultant / Senior Consultant
  • Full-time

Join us. But be you. At Deloitte, you'll do more than just join something, you'll add something. You've found a place that values your curiosity, passion, and desire to work alongside brilliant people on the things that really matter. There really is only one question: What impact do YOU want to make?

We're looking for a Data Modeller to join our AI & Data team!
About the role and team

As a Data Modelling & Analysis Consultant, you will work with clients across government and industry to understand complex business problems and translate them into clear, high‑quality data models and insights. You will collaborate with multidisciplinary teams, contribute to the design of modern data and analytics solutions, and support the use of emerging technologies to improve decision‑making and outcomes.

This role is suited to professionals with a strong analytical mindset, solid modelling foundations, and an interest in applying new technologies such as AI and knowledge graphs within real‑world environments

Working alongside Data Engineers, Data Scientists, Architects and business stakeholders, you'll contribute to the delivery of modern AI and data solutions while continuing to grow your expertise across data modelling, information management and emerging technologies.

A week in the life of a Data Modeller might look like:
  • Analysing complex business challenges and conducting structured investigations to identify data, information and reporting needs.
  • Engaging with business stakeholders, clients, data engineers, architects and technical specialists to elicit, clarify and document requirements.
  • Translating business processes and real-world scenarios into well-defined data entities, attributes, relationships and information flows.
  • Designing, developing and reviewing conceptual, logical and physical data models that support analytics, reporting, AI and business transformation initiatives.
  • Creating clear and accurate data models, diagrams, mappings, definitions and technical artefacts to communicate data structures and design decisions.
  • Performing data analysis, profiling and discovery activities to identify opportunities, risks, data quality issues and improvement initiatives.
  • Supporting data architecture, data governance and information management practices to improve data quality, consistency, accessibility and usability.
  • Collaborating with Data Engineers, Data Scientists, Solution Architects and business stakeholders to deliver scalable end-to-end data and AI solutions.
  • Contributing to the design and implementation of modern data platforms, analytics capabilities and information management solutions.
  • Facilitating workshops, stakeholder engagement sessions and requirements gathering activities to drive alignment and outcomes.
  • Advising stakeholders on best practices in data modelling, data management, analytics and emerging data technologies.
  • Supporting proposal development, demonstrations and business development activities where required.
  • Staying current with emerging trends, tools and practices across data, analytics, AI and information management.
Enough about us - let's talk about you. You are someone with:
  • 3+ years' experience in consulting, professional services, technology, or data-focused roles.
  • Strong experience developing conceptual, logical and physical data models.
  • Excellent analytical, problem-solving and investigative skills.
  • Experience translating business requirements into structured data entities, relationships and models.
  • Strong stakeholder engagement and communication skills, with the ability to work across business and technical teams.
  • Proficiency with data modelling and diagramming tools such as Sparx Enterprise Architect, Lucidchart, Mermaid, Protégé or similar.
  • Experience using SQL and/or Python for data analysis, validation and investigation.
  • Understanding of data warehousing, dimensional modelling, data governance and modern data architecture principles.
  • Strong documentation skills and attention to detail.
  • An interest in emerging technologies, including AI and their application to data and analytics.
  • A passion for continuous learning and professional development.
Nice to have:
  • Experience with enterprise platforms such as SAP, Oracle or Salesforce.
  • Exposure to cloud data platforms such as Snowflake, Databricks, Azure, AWS or GCP.
  • Experience with Power BI, Tableau, Qlik or similar analytics tools.
  • Familiarity with Jira, Confluence or other delivery and collaboration tools.
  • Exposure to semantic modelling, knowledge graphs, ontologies, RAG, or graph-based solutions.
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 countryidentifiedin our founding document,TeTiriti o Waitangi.We uphold our responsibility(s) to the founding document and acknowledge Māori as theTangataWhenua/Indigenous people.

Our shared values are at the heart of everything we do. Living thesevalues, including‘Manaaki/taking care of each other’and‘Hāpaitangata/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 theirremuneration.We have reimagined what ‘work’ looks like and how we can empower all our people to create a work experience that is distinct to their needs. Founded on concepts of trust, balance, wellbeing, and the importance of personal connection, this is the Deloitte experience.

We offer:
  • Flexible work arrangements – work in a way that suits you,usand our clients best
  • Subsidised professional qualifications and paid professional memberships
  • Subsidised health insurance
  • Income protection insurance
  • 22 days annual leave
  • Social events, social sports teams, and monthly firm drinks
  • A focus on wellness and well-being
  • A focus on the environment and sustainability

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-represented backgrounds may hesitate to apply if they don't meet all criteria. If you're passionate about this role and believe you have the skills, we encourage you to apply, even if your experience, ideal working hours or qualifications aren't a perfect match.

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