CUSTOMER INSIGHTS - Support business strategy through data driven insights, LEADING AUSTRALIAN LOYALTY PROGRAM - Driving cutting edge strategic innovation, TECH: SQL, Python/R & Tableau |-| STATS: T-tests, P-values, Significance Tests.Our client is a market leading Australian household brand with one of the largest and most successful customer loyalty schemes in the country. With an incredibly strong and growing Customer Analytics division a brand new position has been created for an experienced Customer Insights Analysts to support the delivery of a range of complex customer/marketing strategy based projects.
As a Customer Data Scientist - Insights & Analytics the core responsibilities of your role will cover, but will not be limited to:
Engaging with key stakeholders across the business to understand and consult around Customer, Marketing, Digital and Product strategy requirements, negotiating timelines against deliverables to ensure workable outcomes.
Leveraging strong SQL data manipulation skills to extract, manage and merge large volumes customer data from a variety of complex data sources. Delivering against ongoing requests from the business for timely and accurate ad-hoc data driven insights to support strategic initiatives.
Leveraging strong R, Python, SAS and Tableau skills to deliver strategic projects leveraging techniques that may include; Statistical Modelling (acquisition, retention, cross sell), Customer Segmentations, Customer Lifetime Value Analysis, Next Best Action, Campaign Analytics (pre campaign analysis, experimental design, control group / significance testing, test and learn, ROI analysis, post campaign reviews, etc), Developing Interactive Dashboards and Reports etc.
Present the results of your investigations to senior stakeholders across the business, gaining strategic business buy-in to ensure your recommendations are rolled out into operation.
The successful applicant will come with strong experience working in a complex consumer data driven environment, where managing and manipulating complex SQL data sets to uncover strategic insights has been a key focus. You will be able to demonstrate:
Strong technical skills and experience (3yrs+) using SQL, Python or R to extract, manipulate and merge large volumes of customer behavioural or transactional data from a variety of source systems.
At least 3yrs experience extracting key insights from large volumes of data to drive customer/marketing strategy.
Technical proficiency with analytical tools Python, R or SAS.
Data Visualisation skills in Tableau, Qlikview, or PowerBI, etc.
Strong understanding of Statistics and Probability (i.e. Significance testing , T-test and/or P-Values).
Experience delivering analytical techniques such as Customer Lifetime Value Analysis, Marketing Campaign Analytics, Customer Insights Analysis, Customer Propensity/Regression Modelling (Churn / Acquisition / Cross Sell / Up Sell), Segmentation Analysis (Cluster / Basket), Next Best Offer Analysis, Decision Trees, etc.
Educated to a minimum of degree level in a highly analytical STEM discipline such as - Mathematics, Statistics, Econometrics, Actuarial Studies, Data Science, Computer Science, Engineering etc.
06/04/2021$0CBD, Inner West & Eastern Suburbs1 Consulting & Strategy
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