Analytics Engineer
vor 3 Wochen
Who are we?
Big Red Group is the largest experience network in Australia and New Zealand.
A powerful connector that provides more than 3000 experience operators with quality customers and the tourism industry with trusted intelligence and partnership.
With a purpose to 'shift the way people experience life', Big Red Group seeks to reduce the tide of consumption.
Encouraging people to choose 'stories over stuff' at every opportunity.
Together with our experience operators, we are on track to deliver an experience every second by 2030.
About the role
As an Analytics Engineer at BRG you'll play a pivotal role in leveraging our source data to drive insights and inform strategic decisions.
You'll collaborate closely with data analysts and other stakeholders to design, develop and maintain robust data and analytics models.
Your expertise in data manipulation and modelling will be essential to extract valuable insights from complex datasets.
Key Responsibilities include:
Collaborating with cross-functional teams and data analysts to understand data requirements and sources Designing and implementing data pipelines to acquire, clean, and integrate diverse datasets from various sources Developing and maintaining data models to support analytics initiatives and business reporting needs Optimise query performance and data processing workflows to ensure efficient data retrieval and analysis Identifying opportunities to improve data quality, accuracy, and consistency through data governance and quality assurance practices Collaborating with data engineering to ensure the scalability, reliability, and efficiency of data pipelines and infrastructure Documenting data processes, methodologies, and findings to facilitate knowledge sharing and maintain data integrity Providing guidance and support to other team members and contribute to the development of best practices
About you
Ideally you will have:
Proven experience in Analytics and Data, working across business applications, systems, reporting tools and databases
Proficiency in SQL is essential Expert skills in data modelling, with frameworks like dbt would be extremely beneficial Proven experience in data analysis, data manipulation, and Datawarehouse technologies (Snowflake, Bigquery, Redshift).
Proficiency in programming languages commonly used in data analysis and manipulation (e.g., Python, R) An understanding of statistical concepts and techniques, as well as exposure to machine learning algorithms Experience with data visualization tools and libraries (e.g., Tableau, Power BI, Matplotlib, Plotly).
Excellent communication and collaboration skills, with the ability to explain complex concepts to non-technical stakeholders
What's in it for you?
Outside of a competitive salary, benefits and flexible working arrangements, you'll be challenged and encouraged to innovate and drive change in a fast paced and high growth business.
You will partner with colleagues who are dedicated to delivering exceptional experiences in a hybrid flexible environment.
Voted in 2022, AFR Best Place to Work; 2021 Australian Employer of choice and top 20% ranked most engaged workplaces in Australia
Key Perks:
A real Community
: ESG commitment, paid community days, Fast Company 'Brands that matter', Volunteering days True Connection:
Experiences at work, quarterly roadshows, offsites, social & sports events.
We invest in you
: 30 day's work from anywhere in the world, Leadership Development, Talent Academy's, Mentors, Paid Parental Leave, Wellness support.
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