Date posted: 04 June 2019
Location: Wellington, NZ
Applications close: 18 June 2019
Position Description: Click here [DOCX, 361 KB]
The Social Investment Agency is a small government agency with a big mission - to do what works for better lives. We demonstrate the value of using data, technology, and people’s lived experience to support decision making across the social system. We trial and champion innovative ways government, NGOs and community can work together. Alongside service users we explore, test and develop tools and insights to help all parts of the social system do more of what works for better lives.
We opened our doors in July 2017 and are now moving from start-up, to grown-up. We’re out to add smart people to our permanent talent pool who are agile, curious and hardworking, and who instinctively care about the wellbeing of others. If that’s you - read on.
The Data Systems & Analytics team supports data and analytics capability for the social sector, by developing analytical methods and products to measure outcomes for social wellbeing.
Reporting to the Analytics Manager, you will constantly assess, test ideas and work in an agile fashion to manage key analytical projects both internally and across the wider sector.
You will use innovation to influence and provide advice in developing client centric solutions along with keeping up to date with the latest technologies and methodologies in order to be at the forefront of analytics innovation. You will also be responsible in the development of models, classification engines and scoring methods.
As well as having extensive experience in data science methodologies and identifying business issues and applying analytical techniques, you will be able to translate technical information to a non-technical audience at an executive level. You will be an innately curious person who can display how you keep up to date on the latest research and technologies.
You will also be tertiary qualified (in the likes of Statistics, Maths, Applied Data Science, Engineering or Operations Research) and highly proficient with the likes of R, SAS, Python or similar data science programming language(s). Ideally you will have experience with the Statistics NZ’s IDI and experience with machine learning techniques would be highly beneficial.
We welcome enquiries from everyone and value diversity in our workforce. Talk to us about what flexible work arrangements might work for you and us both. You must have the right to live and work in New Zealand to apply for this job.
Internal SIA Employees – please apply through the internal careers website. This will ensure that your myHR employee profile is visible as an internal candidate.
External Candidates - Please apply online with your CV and cover letter by clicking here(external link). All applications must be made online. If this is not possible or if you have any queries, please contact firstname.lastname@example.org
We look forward to hearing from you.