Staff Business Data Analyst | Sydney, Au
vor 1 Monat
Innovating.
Empowering.
Delighting.
Join the Intuit Australia & Rest of World team as a Staff Product Data Analyst to delight small businesses & accountants through QuickBooks and our ecosystem of attached products.
Intuit HQ is based in Mountain View California where we have been in operations since 1983.
We are proud to share that Intuit has consistently appeared in Fortune's top 50 Best companies to work for over the last 5 years.
We believe in the power of the individual.
The power to do more.
To make more.
To be more.
The Data Analytics team is looking for a talented Staff Data Analyst to drive Product initiatives across the Australian & Rest of World businesses.
You should be a driven fast learner and high achiever with a passion to continuously learn, grow and deliver well in a high performance and flexible hybrid working environment characterized by speed, collaboration, creativity and fun.
As a Staff Analyst, you will work closely with our Product Teams to develop insights, lead experimentation, and drive key business results.
You will take complex concepts and communicate them to both technical and non-technical leaders in order to effect change for our customers.
You will be an instrumental leader in shaping the strategy and future of the QuickBooks Product.
Working across Intuit AI, Data Engineering, and Product you will drive an integrated plan to grow and scale our product roadmap.
This is an amazing opportunity to join our passionate team using cutting edge technology and the newest trends in analytics to innovate and challenge the way things are done.
You'll be exposed to some of the brightest minds in the tech industry around the globe and empowered to make your own mark
If this sounds like you and you're ready to join our growth journey, we'd love to hear from you
Responsibilities Perform hands-on data analysis, derive insights, tell stories with data, educate effectively, instill confidence in recommendations, and motivate others to act.
Lead experimental designs and measurement plans.
Partner with product managers, software engineers, and designers in designing experiments and developing minimum viable products.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions and communicate results to peers and leaders.
Conduct deep dives such as customer segmentation, funnel, and PMF analysis.
Support the development and maintenance of ML models and other personalization algorithms.
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