Data Analyst

Wisr

Data Analyst supporting data platform modernisation at a fintech company. Engaging with stakeholders for quality assurance and pipeline management.

Posted 6/15/2026full-timeSydney • 🇦🇺 AustraliaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

BigQueryCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondbtdata profilingdata reconciliationdata validationschema managementdata modelingdata quality checksdata pipeline design

Soft Skills

collaborationownershipindependencetroubleshootingcommunicationproblem-solvingadaptabilityattention to detailcross-functional teamworkprocess improvement

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineeringrelated technical field qualification