Description
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.