At a Glance
- Tasks: Lead customer value management and commercial analytics to drive engagement and monetisation.
- Company: Dynamic company focused on customer insights and growth in the German market.
- Benefits: Competitive salary, leadership opportunities, and a chance to shape customer strategies.
- Other info: Collaborative environment with opportunities to lead and influence senior stakeholders.
- Why this job: Make a real impact on customer engagement and business growth in a key strategic role.
- Qualifications: Strong quantitative skills and experience in commercial analytics and lifecycle management.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a highly analytical and commercially minded Head of Customer Value Management & Commercial Analytics to lead our customer lifecycle, value growth, and commercial insights functions. This is a key strategic role responsible for driving customer activation, retention, engagement, and monetisation across our core markets, with a primary focus on Germany—our largest and most dynamic customer base. You will combine deep quantitative expertise with strong commercial understanding to shape our customer value strategy for the German market, deliver actionable insights, and optimise lifecycle performance end‑to‑end. Experience navigating German consumer expectations, pricing sensitivity, product engagement habits, and market-specific performance levers will be critical to success. The role requires deep familiarity with Germany’s customer behaviour, commercial dynamics, and lifecycle performance drivers.
What You Will Do
- Customer Value Management
- Own the full CVM strategy, including activation, retention, cross‑sell, upsell, and lifecycle optimisation
- Develop and execute personalised customer journeys and targeted communication plans
- Increase customer engagement through data‑driven segmentation and behaviour‑based campaigns
- Drive monthly and quarterly commercial KPIs (activation, ARPU, churn, portfolio growth)
- Commercial Analytics
- Lead all commercial analytics, including LTV modelling, pricing insights, forecasting, and performance analysis
- Build and maintain advanced analytical models that support decision‑making
- Partner with Product, Marketing, and Data teams to identify customer opportunities and gaps
- Translate complex data into clear commercial recommendations
- Leadership & Collaboration
- Lead a team of analysts and CVM specialists
- Work closely with senior stakeholders to define commercial priorities
- Ensure excellence in reporting, measurement, and experimentation (A/B testing, ML‑driven targeting)
What We Are Looking For
- Strong quantitative background (statistics, mathematics, data science, econometrics, engineering, or similar)
- Experience in CVM, commercial analytics, lifecycle management, or growth
- Experience working with the German market and its commercial dynamics
- Proven track record in LTV modelling, segmentation, forecasting, churn/retention strategies
- Ability to convert data into actionable commercial decisions
- Experience leading teams and influencing senior stakeholders
- Fluent in German is an advantage
Head of Customer Value Management & Commercial Analytics employer: TF Bank AB (publ)
Join a forward-thinking company that values analytical expertise and commercial acumen, particularly in the vibrant German market. We foster a collaborative work culture that prioritises employee growth through continuous learning and development opportunities, ensuring you can thrive in your role as Head of Customer Value Management & Commercial Analytics. With a focus on innovation and data-driven decision-making, we offer a unique environment where your contributions directly impact customer engagement and business success.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Customer Value Management & Commercial Analytics
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We think you need these skills to ace Head of Customer Value Management & Commercial Analytics
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at TF Bank AB (publ), tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at TF Bank AB (publ)
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with TF Bank AB (publ)’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
