Senior Data Analyst

Our Business:Lebara is a telecommunications company providing services using the mobile virtual network operator (MVNO) business model to customers in the United Kingdom, Germany, Netherlands, France and Denmark. Additionally, Lebara has license agreements for the use of the brand in further four global markets Spain, Switzerland, Saudi Arabia and Australia with Nigeria launching soon.
Lebara was founded in 2001 with the intent to bring something new to the telecoms industry. Created by three entrepreneurs who migrated to Europe from Sri Lanka, the company name was formed from a combination of the founders’ surnames, and Lebara quickly became one of the fastest-growing MVNOs in Europe.
Lebara became private equity owned in 2017 and our current owners Waterland acquired the business in Nov 2024. Lebara is a business on a transformation journey which has and continues to achieve results and under our new ownership the business is moving from a consolidation phase to a growth phase.
Lebara’s business has evolved based on its customers’ needs, from providing international calls to the migrant community, to becoming a significant value challenger within the wider telecoms category. Lebara offers prepaid and SIM-only mobile tariffs, and in 2017, Lebara launched its first postpaid monthly contract SIMs in the Netherlands. Lebara operates under the Full MVNO model in France and Germany and Light MVNO model in its other markets with the UK and the Netherlands preparing to move to full MVNO
Lebara’s purpose is to consistently provide customers with a better value alternative to the established category players. Lebara supports its 4.7 million customers with a reliable network offering and exceptional customer service (Trustpilot average of 4.6 across the main 5 markets), at an affordable price, all of which makes Lebara the smarter way to connect.
Role Purpose:

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

Responsibilities:

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

Skills & Experience:1. Demonstrable experience within analytical roles · 2. Advanced data analysis skills, with a proven ability to provide complex solutions to business challenges, implement them within the business and prove their effectiveness 3. Strong stakeholder management, able to work and influence senior leaders 4. Demonstrated ability to work collaboratively · Excellent written, verbal and communication skills 5. Top notch analytical design abilities 6. Experience creating interactive dashboards with Data Visualisation tools 7. Proficiency with R and/or Python preferable · Proficiency with relational databases (SQL) 8. Strong understanding of statistics and statistical theory 9. Must be able to interact with diverse groups of technical and non-technical people

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