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Data Analyst

Wisr

Job Location:

Sydney - Australia

Monthly Salary: Not provided by the employer

Posted: 16 June 2026 (30+ days ago)

Application Deadline: 16 September 2026

Vacancies: 1 Vacancy

Job Summary

Wisr is committed to building a supportive inclusive and diverse workplace and we strongly encourage applications from all backgrounds and identities. Were happy to accommodate any reasonable adjustments to the interview process to ensure equal opportunity for all. If you require reasonable adjustments please reach out to us via emailprotected.

Our Why What and How

We are a proudly purpose-led ASX-listed fintech on a mission to bring people closer to financial wellness and make a real difference in the world starting right here in Australia. By building products and experiences designed to have a positive impact on the financial health and lives of our customers we are inching ever-closer to achieving our purpose.

We offer smarter fairer loans that help people kick their goals sooner. Wisr App awarded Winner of WeMoneys 2024 & 2025 Best Mobile Experiencemakes loan self-service easy and offers free financial wellness tools including credit scores round ups money hacks and more..

The better we do this the more positive change and impact we can have on our customers. Now is the time to join one of Australias fastest growing fintechs and make an impact.

We are a people first business and value flexibility as part of our work - our team works in a hybrid working environment 3 days per week in our beautiful office space.

About the Role

This role will be supporting Wisrs ongoing effort to modernise and evolve the data platform as we continue to scale and grow. As a key member of the Data Squad you will bring strong data analysis validation reconciliation and quality capability coupled with hands-on experience building data pipelines across platform implementation and migration projects in a Medallion architecture.

Youll play a crucial role in supporting the quality and integrity of our data models and pipelines helping us to build a world-class data platform that serves the entire organisation.

By collaborating closely with various internal stakeholders including your fellow data engineers Credit Risk Product Managers Developers and cross-functional teams including Operations and Marketing you will play a pivotal role in ensuring seamless data integration processing and analytics.

What Youll Do:

Engage with business stakeholders to gather and translate data requirements into testable acceptance criteria and quality checks within the Data Squad

Design and build scalable pipelines and data models that support data quality reconciliation and trusted insight generation within the Data Squad

Own and evolve the data stack with a focus on data quality and testing practices supporting platform delivery (e.g. dbt SQL Python orchestration reconciliation validation observability)

Ensure high standards of data accuracy integrity and reliability especially during platform migration and implementation in a Medallion architecture

Develop and maintain robust documentation schema management and lineage tracking to ensure transparency and traceability

Forming a deep understanding of our data processes and helping to improve them through implementing best practices

Staying on top of any failures and issues in our data systems troubleshooting proposing improvements and implementing fixes

About You

With hands-on experience across modern data architectures in data platform implementation and migration projects you bring strong skills in data validation source-to-target reconciliation and quality testing. Youve worked alongside data engineers on platform builds validating pipelines testing transformations and ensuring data integrity before and after cutover. You take pride in being the quality gate between business expectations engineering delivery and business outcomes ensuring what was asked for what was built and what is consumed are all aligned.

You are confident working with SQL and Python for data analysis validation scripts and automated reconciliation. Experience with modern data platforms such as Snowflake and transformation tools like dbt particularly dbt tests schema validation and data quality checks is highly desirable. Experience with data visualisation tools such as Tableau or Power BI to communicate findings to business stakeholders is a plus.

Youll also have:

3 years working on data platform implementation migration or modernisation projects

Tertiary qualifications in Computer Science Engineering or a related technical field

Demonstrated ability to take ownership of projects collaborate cross-functionally and work independently in dynamic environments

Strong SQL skills complex queries reconciliation logic row counts sum checks and data profiling

Good working knowledge of Python for validation scripts automated reconciliation and data profiling

Hands-on experience with dbt dbt tests schema tests and custom data quality checks

Experience validating data across platform migrations source-to-target reconciliation regression testing and cutover validation

Experience with major cloud data warehouse or lakehouse platform (e.g. Snowflake Databricks BigQuery)

Good understanding of ELT/ETL concepts and medallion or layered architectures

Experience with Tableau Power BI or similar visualisation tools

Ability to work cross-functionally with engineers and business stakeholders

Some of Our Perks & Benefits

Flexible and hybrid working

$500 every year to spend on your wellbeing

Take an extra Annual Leave day off on us every financial year with A Day on Wisr

Access via WHEREFIT to discounted gym memberships corporate discounts for wellbeing products and more!

Generous paid parental leave to support your transition to parenthood

Unlimited Udemy access to learn new skills

Regular social events and awesome team offsites

Access to our Employee Assistance Program Uprise with up to 6 coaching sessions per year

Working at Wisr

As a purpose-led organisation on a mission to bring people closer to financial wellness we truly believe in what we do and every person who joins our team plays a part in our success. By practising what we preach (hello $500 wellness reimbursement 1:1 coaching via Uprise and unlimited Udemy learning!) you are empowered to own your role your development and the space that you play in.

We value psychological wellbeing and safety fostering a high-performing culture which enables continuous learning and growth. Our hiring and interviewing process is designed for you to showcase your experience skills and passion and take great pride in not just ticking a box. If this role resonates with you we want to hear from you.

Wisr Values

Courageously ask What if: We challenge the status quo and we know that decisions that make us smarter stronger faster more innovative always start with a What if.

for the customer: Our internal and external customers are at the center of everything we do. We genuinely have their best interests at heart.

Smarter parts together: We believe the real magic happens when we bring together the right mix of Smart Parts and work as a team.

Be a stunning colleague: Its not just about excelling in our roles but also going the extra mile to make our colleagues and Wisr shine too.

Growth over comfort: We love learning and we always find opportunities to learn something new whether it is facing a fear or pushing through something uncomfortable to level up.

We are dedicated to creating an amazing candidate journey for every applicant. Theres no shouting into the void here. Were committed to responding to every single applicant.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

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