BI / Data Analyst at MTF Finance
Dunedin, Otago, New Zealand -
Full Time


Start Date

Immediate

Expiry Date

23 Apr, 25

Salary

0.0

Posted On

24 Jan, 25

Experience

3 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT US:

MTF Finance has been 100% New Zealand owned and operated since 1970. We provide innovative finance solutions to New Zealanders through our nationwide network of franchise offices, vehicle dealers and business partners. We’ve grown to be one of New Zealand’s iconic household-name brands, with business assets of more than $1B.
Our mission is to help New Zealanders get ahead by making lending about people again. We’re launching new products and partnerships while staying true to our core; that we’re people helping people, powered by a world-class funding system.
Incredibly high standards drive us to give our customers the best service in the finance industry, so it’s no surprise that our NPS scores and review ratings are amongst the best in the industry worldwide.
Motor Trade Finance Limited is listed on the NZDX.
Our history dates back to 1970, and we’ve built a great reputation by doing the right thing and forming long-term and beneficial partnerships. We provide innovative finance solutions to New Zealanders through our nationwide franchise network, vehicle dealers, and partners such as Trade Me. This has helped us grow into a business with assets of more than $900m. We are fifty-three years young and only getting started. We are launching new products and partnerships while staying true to our core; that we are people helping people, powered by a world-class funding system.

SOUND LIKE YOU?

Canidates should apply online via Seek with an updated CV and cover letter; however, a full job description is available on our website.
Studies show women and people from diverse backgrounds may not apply for jobs if they don’t tick every box on the job advertisement. If you’re keen on any role at MTF Finance but feel like you’re not a 100% match, don’t worry! We still want to see your unique spark, so go ahead and apply. We appreciate varied perspectives and believe every individual brings something special to our team. In a nutshell - we want you to work here because you’re you!
Our recruitment process is fair and inclusive, and just like most things in life a one-size-fits-all approach doesn’t fit most, and honestly, we think that’s a ‘meh’. If you need any special arrangements or a little extra support during your journey with us, that’s okay – just let us know either in your application or when you’re chatting with one of our lovely People and Capability team members.
We can’t wait to hear from you

Responsibilities

ABOUT THE ROLE:

Can you help our teams to better use data? We’re on a mission to make lending about people again, and leveraging data is a key part of our strategy. We’re looking for a curious, customer-oriented BI/Data Analyst to drive and support our Power BI roll out and really democratise access to insights. You’ll enjoy contributing across data governance, data ingestion and modelling in our Databricks data platform, and both doing and helping others to analyse data using tools like Power BI.

JUST SOME OF THE THINGS YOU’RE RESPONSIBLE FOR:

  • Data Platform Development & Governance: Ensure data is ingested, modeled, and governed effectively for analysis and reporting. Maintain high standards of usability, stability, scalability, and security in the BI environment.
  • Self-Service BI Support: Lead the rollout and support of self-service BI tools, develop and maintain platforms, provide training, and create technical documentation to empower users with data insights.
  • Report & Dashboard Development: Design, create, and maintain reports, dashboards, and data extracts. Collaborate with stakeholders to gather requirements, perform testing, and handle ad-hoc data analysis.
  • Bug Fixing & Maintenance: Identify and resolve bugs, perform regular system maintenance, and proactively seek opportunities to improve performance while reducing technical debt.
  • Collaboration & Team Contribution: Participate in planning, stand-ups, and team meetings. Contribute to work breakdowns and progress tracking for sprints and projects.
  • Stakeholder Engagement: Work closely with business users to understand their data needs, provide guidance on data structures and governance, and ensure tools align with strategic objectives.
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