Senior Analytics Engineer
Senior Analytics Engineer
Posted on :
12-04-2025
Employer Active
1 Vacancy
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Job Description
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
Our Why What and How
We are a proudly purposeled ASXlisted 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 evercloser 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 selfservice 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 typically 2 days per week in our beautiful office space.
About the job
This role sits at the intersection of product innovation engineering and data sciencesupporting Wisrs Innovation Squad in identifying validating and scaling new product opportunities through insights and experimentation. The Senior Analytics Engineer brings strong data infrastructure and modelling capability coupled with handson experience using AI/ML LLMs and GenAI to explore new service models and customer experiences.
As a key member of our Data team youll play a crucial role in supporting the development of our data models and pipelines helping us to build a worldclass data platform that serves the entire organisation.
Youll be working with various internal stakeholders including your fellow data engineers analysts product owners and developers as well as cross functional teams such as Operations Marketing and Risk teams.
What Youll Do:
Lead the design and build of scalable data models and pipelines that enable insight generation experimentation and rapid iteration within the Innovation Squad
Own and evolve the data stack supporting product development (e.g. dbt SQL Python orchestration observability)
Build and manage data products that feed dashboards reports and embedded analytics for product and commercial decisionmaking
Ensure high standards of data quality reliability and performance especially in experimental environments
Apply LLMs GenAI AI/ ML to unlock new forms of customer interaction automation and service intelligence
Partner with product design and engineering leads to shape hypotheses and measure the impact of new products and features
Develop and maintain robust documentation schema management and lineage tracking to ensure transparency and traceability
Support lean market tests by instrumenting MVPs and experiments with the right telemetry and reporting infrastructure
Contribute to innovation business cases through market sizing revenue modelling customer segmentation and behavioural analysis
Stay current with emerging tools practices and breakthroughs across AI data platforms and realtime analytics
About You
With strong handson experience using AI/ML LLMs and GenAI you are passionate about data and truly enjoy the process of ingesting transforming integrating and managing data. You love being able to see the work you do make a significant impact in the business.
With demonstrated experience working with data systems data pipelines and data models you are keen to continue growing your skills in a supportive and fastpaced environment.
Youll also have:
5 years in data engineering analytics engineering or fullstack data roles
Tertiary qualifications in Computer Science Engineering or a related technical field
Demonstrated ability to lead projects collaborate crossfunctionally and work independently in dynamic environments
Strong business acumen with a commercial mindsetable to translate data into action and impact
Technical Skills
Expert in SQL and proficient in Python for data transformation scripting and orchestration
Deep experience with dbt CI/CD for data version control and software engineering best practices in analytics engineering
Strong data modelling expertise including dimensional modelling data mesh data vault and star/snowflake schemas
Proficient in data orchestration tools such as Apache Airflow and Azure Data Factory
Experience with major cloud data warehouse or lakehouse platform (e.g. Snowflake Databricks BigQuery)
Familiarity with Docker Kubernetes (especially AKS) and deploying data services in containerised environments
Strong grasp of data quality governance and observability principles
Proficient in building selfserve analytics using tools like Power BI Tableau or Looker
Experience enabling realtime analytics and streaming data architectures
Demonstrated experience applying AI/ML models to realworld business problems
Handson with LLMs and GenAI frameworks (e.g. LangChain OpenAI Azure ML) for tasks such as content generation natural language interfaces and data augmentation
Comfortable embedding and evaluating AI models in experimental and production environments
Familiarity with predictive analytics or machine learning workflows
Desirable / Nice to Have
Experience in or strong interest in the FinTech or financial services domain
Certifications such as Azure Data Engineer Associate or dbt Analytics Engineer
Exposure to domaindriven data architecture or data mesh implementations
Experience with realtime data pipelines using tools like Kafka Flink or Azure Stream Analytics
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 purposeled 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 highperforming 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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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