Data Analyst

OrbitRemit is an innovative and fast-growing online payments company.

We have developed world-leading technology enabling our customers to transfer funds internationally at the best possible exchange rate and lowest fees.

We are a disruptive force in cross-border payments, helping our customers send money where it is needed most.

We are seeking an experienced Data Analyst / Technical Business Analyst to join the OrbitRemit team in Wellington, NZ.

This role offers an exciting opportunity to contribute to a growing business within a friendly, cross-functional team environment.

We promote an open and transparent working environment, encouraging proactive and innovative approaches to enhance our customers' experience when transferring funds.

What you will work on

Collaborate with the data team to build semantic data models using a modern BI abstraction layer.

Develop, maintain, and enhance Looker dashboards and reports to support business decisions.

Conduct detailed data analysis to generate actionable insights for product improvements.

Perform data validation and ensure data integrity across key datasets.

Assist in implementing data governance and privacy practices.

Work with stakeholders to understand data requirements and translate them into technical specifications.

Provide ad-hoc data support to marketing, product, and compliance teams.

What you would need to know

At least 2 years of experience as a data analyst, data engineer, or similar role.

Knowledge of data warehousing concepts and proficiency in SQL.

Experience with modern BI tools (e.g., Looker, Tableau).

Experience with semantic data modeling layers; prior LookML experience is preferred but willingness to learn is acceptable.

Understanding of data governance and privacy standards.

Proficiency in English as a working language.

Nice to have

Experience with BigQuery.

Knowledge of persistence strategies or experience implementing them.

Familiarity with ETL / ELT tools like Dataform or DBT.

Relevant tertiary qualification (Business, Statistics, Computer Science).

Knowledge or experience in data engineering.

Skills in Python or R for data analysis.

What we offer

Competitive salary plus benefits.

A modern central Wellington office with amenities (barista coffee, snacks, drinks, beer, kombucha, social activities).

Flexible work options with a mix of office and remote days.

Health insurance with Southern Cross.

Tech setup of your choice.

A supportive, diverse team.

Impactful projects benefiting customers.

Ongoing professional development opportunities.

Please note : This role is not able to be remote.

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