This role is to put data, insight, and analysis at the heart of the decision making process across the Lebara Group.
Lebara has gone through an award winning data transformation over the last couple of years and has a well embedded central Analytics and Data Science team supporting the markets in which it operates.
This role will be working within the centre of excellence, focused on driving insights and recommendations into marketing, commercial, product, and finance teams across the group. This will include deep dive analytics as well as making use of visualization tools. The role will be working with senior leaders from C-suite down to make sure that we’re making the right decisions to drive significant value
It is a fast paced environment where your ideas really matter and have the ability to transform the way the business operates.
This team is at the heart of our success in transforming Lebara into a digital first, data driven organization and continue to grow this further
1. Conduct deep dive analysis to investigate the root causes of major business challenges and come up with solutions based on the data
2. Be a subject matter expert for all things customer, proactively identify areas of opportunity and help grow our understanding through generating great insights and powerful recommendations
3. Work with senior leadership to drive key initiatives forward
4. Stitch together different pieces of data from our online and offline channels to tell a compelling 360 story about our customers
5. Work with the data scientists to support on model building and analysis to ensure we have a great toolkit to use to solve challenges
6. Support usage of suite of reports in PowerBI to enable in depth understanding of the drivers behind our commercial performance, enabling each market to be able to self-serve insight including;
o Acquisition marketing campaign reports
o Customer base management campaign reports
o Customer base cohort analysis
o Churn propensity / retention propensity analysis
7. Present the results of analysis in easily digestible formats in order to facilitate a greater understanding of user behaviour, monetization and retention.
8. Visualise analysis in PowerBI and create as a standardised report to enable business teams to self serve the same request in the future
9. Foster a culture of data-driven decision making – contribute to the drive towards a culture where everyone is thinking about the data
10. Be identified as an analytics/data science expert across the business
Behavioural Fit:
1. Works effectively in a matrix organization. Leads through influence
2. Puts data at the heart of decision making
3. Driven, self motivated and results oriented
4. Ability to work in a cross-functional, multi-cultural team and in a collaborative environment with minimal supervision
5. Ability to multi-task and plan, organize and prioritize multiple projects.
6. Must have a hands-on mentality
Role Key Performance Indicators:
1. Core business KPI’s and the impact analytical tools has on uplift;
o Gross Adds
o ARPU
o AMPU
o Churn / Retention
o Digital Gross Adds
2. Performance of core campaigns based on analytical insight;
o Digital conversion rate
o Offline to online migration conversion rate
o Base migration conversion rate
o Churn busting conversion rate
o Retention rates
o SAC / Retention cost per customer
3. Softer KPI’s
o Depth of understanding each market has of drivers of performance
o Completeness of suite of reports and analytical tools
o Development and level of output of the team
o Working relationship across group and country stakeholders