Job Description

You will lead the Data Science and BI function and to manage the governance, collection, measurement, and visualisation of data, build and enhance data science models to drive business objectives and identify opportunities to improve processes and strategies with technology solutions for Data Science and BI.

Responsibilities

Analytics:

• Conduct monthly deep dives on consumer segment performance (Sub-base, ARPU, Revenue and margins) with a second level insights on product performance by consumer segments.
• Define, measure, and communicate key performance indicators for consumer segment.
• Perform complex analysis and modeling for segment by multiple products for GTM activities, with the goal of maximizing revenue, market share and minimizing risk.
• Assist in segment GTM by identifying key drivers for business case/sponsorship and post mortem evaluation, effectiveness of campaigns
• Provide actionable recommendations for opportunities that support business objectives identified through ongoing program and customer measurement.
  Data Science
• Use advanced analytics techniques and models to drive business decisions and impact
• Proactively look for new innovative ways to better understand our customers needs and behaviours to drive actionable insights
• Regularly measure existing model performance to improve churn, upsell and cross sell KPI’s
• Continuously look at how we can enrich our data to create new segments and potential target groups  

Data & Business Intelligence : 

• Provide data and regular reports to the business teams to enhance current strategy for churn, retention, cross and up sell to meet business objectives.
• Manage and continuously improve the performance dashboards and look for opportunities to improve efficiency across the business through new interactive deep dive dashboards
• Oversee the deployment of data to the data warehouse and continuously update and enhance it to keep up with changing business needs.
• Explore and include new data sources in the data warehouse for data science, analytics, digital rewards and campaign management
• Define, measure, and communicate key performance indicators for consumer segment.

Team Leadership

• Manages a small team across data science, data engineering and data visualisation
• Coach, retain and grow the team’s capability and skillsets with an emphasis on empowering the team
• Create an environment of continuous business improvement and a culture of innovation
• Form part of the CLM leadership team and add value across Customer Insights, Campaign Strategy and Digital Rewards
• Manage and continuously evaluate the existing BI and Data Science tools for optimal performance