Senior Data Analyst

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape 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 Retention & CRM analytics.

• Design and evaluate experiments for retention and CRM-related initiatives, such as reducing churn and cancellations, increasing upgrades and upsells, 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 Retention and CRM 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 or marketing analytics role

• Hands-on experience with retention and CRM efforts — knowledge of user segmentations and targeting, organic communication channels, such as Braze.
  

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.

• Machine learning data modelling experience.