The data team at Kape/ExpressVPN is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.
In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You'll work with great people on projects across the company, and play a pivotal role in supporting strategic business initiatives through data analysis, experimentation and development of metrics and dashboards.
What you'll be doing
As a Senior Data Analyst, you will:
- Act as a strategic partner working in cross functional teams to grow the extent of data-driven planning and decision making in specific areas, specialising in Payments analytics.
- Design and evaluate experiments for payment-related initiatives, such as additional payment methods, localized currency, etc.
- Partner with web and backend developers to work on the analytics tracking requirements and accuracy of the tracking implementation.
- Turn data into insights, predictions, and actionable recommendations, delivering clear business value to your cross functional teams in their business challenges.
- Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboard designs.
- Work in partnership with Data Engineers and Analytics Engineers to define data requirements, foundational datasets and ensure high-fidelity tracking.
- Contribute to the planning & execution of the Payments team within the organisation - as a group of people, as a partner within cross functional teams and as an enabler to support others to self-serve their data and insight needs.
Who we're looking for
Experience & expertise
- 5+ years in a product analytics, growth analytics, or payments analytics role
- Hands-on experience with payments data — knowledge of authorization flows, decline codes, 3DS authorization, PSP performance metrics, or subscription billing is a strong plus
Data mindset & ownership
- Passionate about data and using it to influence business decisions
- Detail-oriented in ensuring data quality and integrity across everything you present
- Self-starter with a strong sense of ownership — you bring insights to life, not just report them
- Comfortable navigating ambiguity and able to lead complex, loosely-defined projects from first principles through to a clear outcome
Business partnership
- Adept at integrating with business teams to truly understand their challenges and define how data can help — as early as possible
- Strong business acumen with a business-first approach to problem framing
- Track record of delivering clear, actionable business value from data — fit for purpose, not just technically impressive
Communication & storytelling
- Excellent communicator who uses storytelling to make insights land at the business level
- Able to connect data narratives to commercial outcomes in a way that resonates across teams
- Fluent in English
- Thrives working alongside intelligent, passionate people
Technical skills
- High proficiency in SQL and/or other querying languages
- Hands-on experience in Tableau or equivalent data visualisation tools
- Comfortable working with AI tools and incorporating them into your workflow to move faster and think sharper
Nice to have, but not required
- You came from a subscription-based e-commerce company.
- A desire to elevate the team by mentoring junior analysts and fostering a culture of peer review and best practices.
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