Data Quality Analyst

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.Where The Team Fits In Core Property Data mission is to leverage REA's unique datasets to generate insights about the property market and power various property-centric products that cater to a wide variety of customer segments. We are doing this by building a property data pipeline that adopts event-sourcing architecture patterns and technologies.
Data is the heart of what we do and impacts all our products and data science models - improving our data quality is key to PropTrack's long term success.
What You'll Be Doing As a Data Quality Analyst, you will assume responsibility for overall data quality analysis and coach and mentor your team for data quality outcomes. You will serve as the data quality champion of the team and support an entire squad of developers, business analysts and product managers with data quality best practices.
As a Data QA you will support the Core Property Data team in the following ways:
Analyse and produce data coverage and quality statistics across internal and external data sets.Monitor data quality and recommend improvement activities.Create and maintain data quality dashboards using Tableau.Design and implement Data Quality/Testing strategies for major initiatives, leveraging data platforms such as Kafka, Flink, BigQuery, and Airflow.Identify, track, and remediate data quality issues.Work with product managers to understand business priorities and communicate technical options, report on progress and come up with data quality metrics.Coach and share knowledge with the squads on data quality practices and advocate for shared quality responsibility.Who we're looking for Passion for data with expert problem-solving and critical-thinking skills.Strong proficiency in SQL and data analysis.Proven experience in data quality analysis and implementation of data quality/testing strategies.Proficiency in data visualisation tools preferably Tableau to generate dashboards and present findings effectively.Ability to identify, analyse, and resolve data quality issues while suggesting process improvements.Strong communication and collaboration skills with both technical and non-technical stakeholders.Ability to manage competing demands across multiple projects efficiently.Bonus if you have any of the following: Exposure to DevOps tools and techniques (e.g., AWS, CloudFormation, Docker)Experience with data platforms such as Kafka, Flink, BigQuery, and Airflow.Experience with Google BigQuery for managing and analysing large datasets.The REA ExperienceThe 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 workingFlexible parental leave offering for primary and secondary carersPrograms to support mental, emotional, financial and physical health & wellbeingOur 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 lifePerformance recognition programs because hard work should never go unnoticedOur commitment to Diversity, Equity, and InclusionWe 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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Nominal Salary: To be agreed

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