Management Level
Senior Associate
Job Description & Summary
Kia ora,
At PwC, our purpose is clear: to build trust in society and solve important problems.
This is a place to keep growing. You’ll learn from the best, take on meaningful challenges, and make a lasting impact for our clients, our communities, and Aotearoa.
Ngā Kōrero mo tēnei tūranga / About the role
We're looking for a Senior Analyst to join our growing Data team in Pōneke / Wellington or Tāmaki Makaurau / Auckland.
This is an exciting opportunity for a data engineering professional who enjoys combining technical expertise, data analysis, problem-solving and stakeholder engagement to deliver modern cloud-based data solutions. Working across enterprise transformation programmes, you'll help clients understand and solve complex data problems, design, build and optimise scalable data platforms that create trusted, analytics-ready data and deliver real business value.
You'll work with a broad range of clients and technologies, partnering with business and technical stakeholders to solve complex challenges, modernise data capabilities and enable data-driven decision making. The role offers exposure across the full project lifecycle, from discovery and solution design through to development, deployment, analysis, and ongoing optimisation.
What you'll be doing:
- Partnering with clients and project teams to understand business requirements and translate them into scalable data solutions.
- Designing, building and deploying modern data platforms and pipelines using technologies such as Azure Data Factory, Microsoft Fabric, Databricks and Snowflake.
- Developing robust ETL/ELT processes that transform and curate data from multiple source systems into trusted datasets.
- Building and optimising SQL, Python and Spark solutions to support data analysis, automation, performance and scalability.
- Using AI-enabled development tools and ways of working to accelerate analysis, coding, testing, troubleshooting and documentation, while applying appropriate judgement, quality and security controls.
- Analysing complex datasets to identify patterns, issues and opportunities, and using visualisation and clear narrative to help stakeholders understand what the data is telling them.
- Contributing to data architecture, solution design, technical specifications and delivery planning.
- Supporting enterprise data governance, metadata management and data quality initiatives.
- Facilitating workshops and engaging directly with business stakeholders, translating data, analysis and technical concepts into practical business outcomes.
- Implementing CI/CD practices and Infrastructure as Code to support repeatable and scalable deployments.
- Troubleshooting platform, integration and data quality issues across client environments.
- Collaborating with multidisciplinary teams across data, analytics, risk and technology to deliver high-impact transformation outcomes.
Ngā pūkenga ka kawea mai e koe, ka whakawhanakehia rānei i tēnei tūranga / Skills you will bring or develop in this role
We're looking for someone who combines strong technical capability with analytical thinking, a consulting mindset and enjoys working directly with clients to solve complex business challenges through data.
You'll bring:
- 3+ years' experience in Data Engineering, Data & Analytics, Technology Consulting, or a related field, with a track record of delivering data-driven solutions for clients.
- Strong consulting and stakeholder management skills, with the ability to build trusted relationships and translate business needs into practical technology and data outcomes.
- Strong analytical and problem-solving skills, with the ability to explore unfamiliar datasets, identify patterns or issues, test hypotheses and communicate what the data is telling you through clear analysis and visualisation.
- Experience contributing to enterprise transformation, cloud modernisation, or data platform initiatives in complex environments.
- Hands-on experience designing and delivering modern data solutions using cloud technologies such as Azure, Microsoft Fabric, Databricks, Snowflake, or similar platforms.
- Strong technical foundations in data engineering, analytics and modern data architectures, including ETL/ELT, data modelling, APIs/integration, cloud-native and lakehouse approaches.
- An understanding of data governance, data management, and data quality practices, with exposure to governance and metadata management tools advantageous.
- Experience working with modern development and deployment practices, including automation, CI/CD and Infrastructure as Code.
- A collaborative and adaptable approach, with the ability to work across different clients, industries, technologies and transformation programmes.
Ngā āhuatanga hirahira o te mahi ki PwC / Highlights of working at PwC NZ
- Rewards - Discretionary bonus opportunities; generous referral bonuses; retail discounts & deals
- Growth - Global network; leadership development; A.I. tools and training; formal learning pathways
- Wellbeing - $250 annual wellbeing allowance; Life & income protection; Sonder/EAP/Headspace; 15 days’ paid sick leave; group-rate health insurance (eligibility applies)
- Reputation - PwC is known for shaping tomorrow. Join us and you’ll accelerate your career while helping clients and communities solve their most important problems.
- Flexibility - Flexible working; supportive coaching culture
- Time off - Two paid recognition days off provided each year during our annual summer shutdown period; purchase up to two extra weeks’ annual leave
- Whānau & community - Paid parental leave for all parents with flexible options and financial planning support; inclusive networks; paid volunteering leave
Mō te aha tāu e tatari ana? / What are you waiting for?
Belong to a community of problem solvers where differences are embraced. We’ll empower you with technology, coaching, flexibility and trust to make a meaningful difference. Learn more on our careers site at .
Grow here. Go further.
Ngā whakautu ki o pātai / Your questions answered
Tono tika mai / Please apply directly: We’re not currently partnering with recruitment agencies for this role. If you’d like to be considered, please apply directly - we’d love to hear from you.
Nau mai ngā tono wawe / We encourage early applications: This role may close before the listed date if we identify a suitable candidate.
Atamai hangahanga / A.I. usage: Please note that secure, A.I.-enabled tools may support parts of our recruitment process, but all applications are reviewed and decisions made by our people.
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
Yes
Job Posting End Date