Customer Insights Analyst

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 $0 CBD, Inner West & Eastern Suburbs 1 Consulting & Strategy
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