Analytics Engineer

Analytics Engineer
Company:

Rea Group


Details of the offer

REA Group is not your average digital business. From humble beginnings in a garage in Melbourne's east in 1995, we have grown into a leading global digital business, specialising in property.
With bold and ambitious goals, we are changing the way the world experiences property. No matter where you're at on your property journey, we're here to help with every step - whether that's finding or financing your next home.
Our people are the key to our success. At the heart of everything we do, is a thriving culture centred around high performance and care. We are purpose driven and collaborative, which drives innovation and our ability to make a real impact. As such, we're proud to be named in Australia's "Top 5" Best Workplaces two years in a row, as well as being recognised as a Best Workplace for Women.
Where the team fits in Financial Services sits at the unique juncture of REA Group's vast consumer audience on realestate.com.au, the nationally recognised Mortgage Choice brand, and the unparalleled property data and insights offered by PropTrack. We are working to bring these elements together to deliver true innovation in how Australians find and finance property.
The FS (Financial Services) Analytics team supports all internal departments by providing data, analysis, visualisations, insights, and reporting – across systems, metrics, product and marketing initiatives, sales funnel conversion, product fit, customer acquisition and retention, broker recruitment and incentives.
The Analytics Engineering department underpins this by researching, curating and delivering detailed, accurate, and fit-for-purpose datasets directly to stakeholders, via our analysts, commercial finance, and dashboard/visualisation arms, plus some products direct to the broker network.
What The Role Is All About Be a champion of data in the Financial Services space, a proponent of data-driven decisions, a go-to source of knowledge for our data ecosystem, and an empowering business partner.
Build brand new – and improve existing – datasets and patterns that unlock the value of our data.
Deliver a single-source-of-truth data layer for all data, analysis, viz, and reporting activities.
Improve the quality, access, awareness, and usage of our data for internal business partners.
Invest in the documentation, reliability, quality, and security of our systems and data assets.
Closely support the analytics- and visualisation- and commercial-finance-arms of our team.
Become an active voice and key business partner in support of stakeholders within finance, lending, product, marketing, risk/compliance, operations, design, and technology.
Develop partnerships beyond FS – to PropTrack, REA Consumer, REA Customer, REAx.
Who We're Looking For Advanced SQL skills.
Proven ability in reverse engineering software/systems to understand schema/data models.
Proven ability in working within a multiple-system environment and making all the connections.
Experience in data management, ELT, data warehousing, data quality, data lakes, data marts.
Experience in data research, analysis, validation, data modelling.
Experience working with GCP in general, and BigQuery in particular.
Solid working knowledge of database concepts, schemas, and good table design.
Practical experience in leveraging data to provide business insights, solve business problems.
Demonstrated commercial acumen, ability to connect data to strategic business value.
Understanding of datasets in the context of data visualisation tools e.g., Tableau, Looker.
Competent use of Git, for version control and pull request workflows.
Sufficient Excel skills for data validation and reconciliation.
Enthusiasm for critical thinking, problem solving, and outcome-based work.
Curiosity, and an inquisitive nature, aptitude for separating signal from noise.
Excellent communication, and effective collaboration with software/technical teams.
Autonomy, productive in a fast-paced, multiple-project environment.
Additional skills and experience that would be nice to have: Awareness of dbt (Data Build Tool), Apache Airflow, and similar technologies.
Good skills with Word, and great PowerPoint skills for documentation and presentation.
Some practical experience working with Microsoft SQL Server, Stored Procedures and Jobs.
Exposure to software engineering practices, SDLC, CI/CD.
Some practical additional programming experience in e.g., Python, VBA, C#.
The REA Experience
The physical, mental, emotional and financial health of our people is something we'll never stop caring about. This is a place to learn and grow. We're committed to your development – both professionally and personally. Your experience with us is something we take seriously.
We offer: A hybrid and flexible approach to working.
Flexible parental leave offering for primary and secondary carers.
Programs to support mental, emotional, financial and physical health & wellbeing.
Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity.
Hack Days so you can bring your big ideas to life.
Performance recognition programs because hard work should never go unnoticed.
Our commitment to Diversity, Equity, and Inclusion
We are committed to providing a working environment that embraces and values diversity, equity and inclusion. We believe teams with diverse ideas and experiences are more creative, more effective and fuel disruptive thinking - be it cultural and ethnic backgrounds, gender identity, disability, age, sexual orientation, or any other identity or lived experience. We know diverse teams are critical to maintaining our success and driving new business opportunities. If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.
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Requirements

Analytics Engineer
Company:

Rea Group


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