Senior People Data Analyst Fixed Term 12 Months
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Job Location:
Auckland - New Zealand
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
- Based in Auckland
- Newly Created Role 12 month fixed term
- Use your analytical expertise to shape the future of KiwiRails workforce and enable data-driven people decisions.
KiwiRail is in a phase of significant transformation to modernise and grow our rail and Interislander ferry services in Aotearoa. Our People and Culture team plays a key part in this change ensuring our people are engaged empowered skilled and supported to perform. This role has been established to help provide important data analytics and insights to understand build and support our future workforce.
About the opportunity Te mea angitū kei a tātou
Were seeking a Senior People Data Analyst to play a key role in delivering the data insights reporting and analytics that underpin these critical initiatives. This is a 12-month fixed-term opportunity ideal for a senior-level analyst who thrives on turning complex data into actionable insights that inform workforce planning and strategic decision-making.
What youll do Ngā kawenga matua
In this senior analytical role you will:
Lead critical people data initiatives that strengthen the organisations data foundations ensuring accuracy consistency and trust in insights.
Analyse workforce trends andidentifykey levers influencing the organisations labour cost modelprovidingactionable insights to improve business and workforce outcomes.
Ensuretimelyaccurate and high-quality data reporting and analysis for senior leaders managers and HR partners.
Deliver regular and ad-hoc reporting on key workforce metrics including recruitmentremuneration performance and workforce demographics whererequired.
Continuously improve data quality reporting processes and analytical tools to enhance insight generation and decision-making capability.
Present findings through clear engaging visualisations and narratives tailored to diverse stakeholder audiences and provide guidance and direction on insights where required.
What youll bring He aha ngā pūkenga e rapu ana mātou
Youll be an experienced and collaborative data professional with the confidence to engage at all levels and influence through evidence and insight. Youll bring:
You have strong Microsoft Excel skills includingproficiencyin Power Pivot and Power with data visualisation tools (e.g. Power BI) or the willingness to learn.
Good understanding of workforce management processesHRIS (Human Resource Information Systems) time and attendance systems andpeople analytics tools is desirable.
Familiarity with statistical analysis and data modelling isrequired.
Strong analytical mindset with the ability to interpret and extract actionable insights from complex data sets.
Excellent communication and stakeholder engagement skills you can turn data into compelling stories that drive decisions.
A strong attention to detail with a pragmatic delivery-focused mindset.
About KiwiRail Mō mātou
KiwiRail is a purpose-driven State-Owned Enterprise with a commercial mandate. Were working to deliver sustainable and efficient transport solutions that connect people goods and places across New Zealand.
Our purpose Stronger Connections. Better New Zealand. reflects our commitment to creating positive lasting impacts for our people customers and communities.
What we offer Ngā painga kei a mātou
- Competitive remuneration
Five weeks annual leave
Commitment to ongoing learning and professional development
Access to discounted travel health insurance and holiday homes via our Staff Welfare Trust
An inclusive purpose-driven culture where your expertise will make a tangible difference
Join us Hono mai
If youre a senior-level data analyst whos passionate about using analytics to shape workforce strategies and support large-scale transformation wed love to hear from you.
Applications close: Monday 24th of November 2025
Required Experience:
Senior IC
Key Skills
- Databases
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
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