Data Analyst

Data Analyst at New Zealand Trade and Enterprise, Auckland

We have created a diverse and collaborative environment that inspires lifelong learning opportunities. - We offer hybrid working that enables work life balance + 5 weeks Annual Leave. - We are focused on holistic wellbeing to support you to be your best self. This role can be based in either Wellington or Auckland. Te Taurapa Tūhono | New Zealand Trade and Enterprise (NZTE) connects New Zealand export businesses with opportunities to grow and go global. Their success is our success. We also connect investors with New Zealand investment opportunities across companies, sectors, and regions. If you are innovative with a can-do attitude and adventurous, then this might be the opportunity for you! What you'll be doing - Te whakamahere In this diverse role of Data Analyst, you'll play a key role to collect, analyse and interpret data to develop data-driven business solutions, including for our web-based platforms. This is an opportunity to utilise your world-class analytical skills to analyse data to uncover underlying trends and themes that help drive value from the organisation's information. You'll exercise your excellent stakeholder management skills to work with internal stakeholders and lead the whole process from requirement gathering, analysis, data modelling, to producing visually compelling and accurate data and insights. You'll be open, curious, collaborative, able to build strong relationships, and adapt your communication style to meet your audiences' needs. What you'll need to be successful - Ō Pūkenga You'll have experience in web-based data analytics and be able to analyse and interpret data for issues, themes and trends. You'll be highly computer literate and have experience manipulating large data sets and summarising insights for non-technical audiences. You will need to be highly computer literate and experienced working in a Data Warehouse environment including Big Query, SQL Server, and experience in one or more current Business Intelligence applications, preferably the Microsoft stack. Specific technical skills in:

1. Using GA4 to understand and track user behaviour.
2. Creating interactive Power BI (and Fabric) dashboards and reports that provide actionable insights.
3. Writing complex SQL queries to extract and manipulate data.
4. Kimball Dimensional Modelling (Star Schema).
5. Designing and implementing efficient data models that support business intelligence and analytics.
6. Some experience with working with Azure Synapse Analytics and Azure Purview is also an advantage.

You'll also have an amazing attention to detail, a curious mindset and use your natural problem-solving skills to proactively identify ways to improve processes, systems, and practices to ensure operational efficiency. You'll be a strong listener and communicator who enjoys building strong relationships with a range of key stakeholders and are able to translate technical terms into non-technical terms. Why you'll love working here - Nau mai ki Te Taurapa Tūhono NZTE is a truly global organisation where we work across different time zones and offer flexibility because of this. We know that life isn't all about work so we will give you the right technology to allow you to work anywhere and balance your time. On top of this, we also offer 5 weeks annual leave so you can have that extra time in the year to enjoy what you love doing! What's next - Te ara ki tua If you're proactive, astute and thrive working with rich and varied data and are keen to grow NZTE's Business Intelligence user experience then this is a great opportunity to build your career in a truly international organisation. You can view a copy of the position description by clicking here (Data_Analyst_PD). Applications close at 9pm on Sunday 26th January (NZT). Please note: You must have the legal right to work in New Zealand to apply for this role. We believe New Zealand is good for the World. New Zealand Trade and Enterprise (NZTE) is an equal opportunity employer. At NZTE it is all about our people and we seek diversity of thought; we welcome and encourage you to apply regardless of ethnicity, gender, religion, age, sexual orientation, gender identity, neurodiversity or disability. If we need to make specific accommodations in any part of the interview process, please note this in your application or discuss with the Talent Acquisition team. #J-18808-Ljbffr