Data Scientist Role

4 days ago


Wellington, Wellington, New Zealand Ministry Of Business, Innovation And Employment Full time
About the Ministry of Business, Innovation and Employment

MBIE aims to create a resilient and high-performing economy that delivers real and ongoing quality of life for all New Zealanders. We work with others to create an environment that supports businesses to be more productive and internationally competitive, enables all New Zealanders to participate in the economy through improved job opportunities, and ensures quality housing is more affordable.

Job Description

We are seeking two Data Analysts to join our Domains team in Data Service Delivery (DSD) unit at MBIE. These roles are perfect for someone who is starting out or looking to take the next step in their analytics career.

About the Roles
  • The Domains team supports policy analysis, regulatory monitoring, and decision-making by delivering high-quality, trusted data assets and innovative analytical solutions.
  • You will work closely with your peers to collect, manipulate and interrogate data to deliver robust analytical outputs to our customers and produce the quantitative insights and evidence required for them to be confident in their decision making.
About the TeamsMarkets Domain Team - Data Analyst
  • This role will primarily support the delivery of the team's energy modelling work programme, which includes analysing potential futures of energy supply and demand, producing analysis to inform policy development and design, and monitoring how policies are tracking.
  • You will help deliver on the team's broader work programme while building up expertise in the energy sector.
Regions, Sectors, Business and Economic Development (RSBED) Domain Team - Data Analyst
  • In this role, you will participate in developing and maintaining complex data systems and products, provide data and analysis advice to internal and external clients, and develop your skills and knowledge on data analytics and economic analysis/modelling through learning by doing.
Skills and Qualifications
  • You must have a background in econometrics, applied economics, statistics, data science, or a related discipline.
  • Experience with R, or a comparable statistical programming language, is highly desirable.
  • You must be willing to learn, self-starting, comfortable with ambiguity, and able to work independently as well as seek advice when needed.
Becoming Part of Our Team

We value people who are customer-focused, able to develop relationships with a range of stakeholders, and enjoy working in a heavily team-focused, collaborative environment.


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