Reserve Bank of New Zealand

Data Product Lead – LLD

Reserve Bank of New Zealand

full-time

Posted on:

Location Type: Hybrid

Location: Wellington • New Zealand

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Job Level

Senior

Tech Stack

AzurePythonSQL

About the role

  • Leading and coordinating the design and build of new data products that enable RBNZ to maximise value from loan level data
  • Identifying data product requirements
  • Assessing the need for data and being able to define scope and priority
  • Designing and building data products for varying audiences, e.g. PowerBI reports and external facing data tables
  • Evaluating the effectiveness of data products and managing updates
  • Ensuring data products are well documented, e.g. design documentation and user manuals
  • Training others in the design or use of data products
  • Operating with a one team mentality by collaborating with others to enable ‘best for RBNZ’ outcomes
  • Demonstrating our values and behaviours consistently to support our desired culture
  • Supporting the integration of Te Tiriti, Te Ao Māori and diversity, equity and inclusion within our organisation.

Requirements

  • A tertiary qualification in data science, computer science, finance, economics, statistics or related disciplines
  • A minimum of six years relevant work experience in statistics and/or a financial institution preferred
  • The ability to build and maintain effective working relationships, and to engage with technical and non-technical audiences
  • Proven experience designing and building data products that demonstrate good data visualisation principles and meet the ongoing needs of users
  • Experience in a mix of Snowflake, dbt, SQL, PowerBI, Excel, R, Python, and Azure would be an advantage
  • A strong understanding of data-handling systems, processes and warehousing
  • Proven experience training or mentoring others.
Benefits
  • Flexible working
  • Inclusive and positive workplace culture
  • Additional leave options
  • Wellness package
  • Generous parental leave provisions
  • Learning and development opportunities
  • Access to numerous social, networking and sporting activities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data product designdata visualizationdata analysisdata warehousingstatisticsfinancial analysisSQLPythonRExcel
Soft Skills
collaborationrelationship buildingcommunicationmentoringtrainingproblem-solvingprioritizationdocumentationadaptabilitycultural awareness