Apply now for a fantastic role in newly in a organisation who are known for understanding the true value of marketing analytics
A leading Australian organisation are looking to hire a motivated, talented and personable professional within their data strategy team. Boasting state of the art offices in Sydney, our client is increasingly transforming into a data centric leader within the tech area. This role requires a enthusiastic and intelligent individual who thrives on extracting, delivering and presenting appealing customer retention data and marketing optimisation to senior stakeholders. Your role will be to work as an active member in a dynamic team environment where you will receive a myriad of attractive benefits.
Produce and deliver monthly customer retention performance and insights; including market factors and cohort variances
Build statistical models to enhance performance, including churn propensity and price elasticity models
Provide recommendations to leadership and respective teams to improve data capture and quality
Create quarterly and monthly tracking tools to measure performance of customer retention activities, triggers and experiments in the contact center, marketing and sales
Support product recommendations
The right candidate will:
Have significant experience in developing advanced statistical models
Advanced knowledge of SQL Server
Previous experience with Power BI/Tableau,
Strong predictive modelling skills in R or python
Be a confident communicator who can simplify churn models to stakeholders
Have motivation to continually learn new skills both for personal advantage and to add value to the company
Work collaboratively and efficiently in a tight-knit team
Opportunities to engage with senior stakeholders
Flexible working spaces and and provided breakfasts
To be part of one of Australia's most recognised companies and to work in a fast paced, dynamic, fun and friendly environment - with ambitious plans. Please apply immediately with an up to date CV.
Or to hear more please get in touch Leon on (02) 8986 3147 or firstname.lastname@example.org
Please note only candidates with local candidates will be considered.