Lead, Business Analytics
About the role
Role Summary
Marketing, Product and Commercial performance
Key Responsibilities
Own the analytics agenda across International Markets
, covering Marketing (SEO, Paid, CRM and App), Product (funnels, experimentation and engagement) and Commercial (monetisation, pricing and sales performance).
- Act as the
primary analytics partner to market Country Managers
and senior leaders across Marketing, Product, Commercial and Finance.
- Translate ambiguous business challenges into structured analytical problems, quantify opportunities and help leaders prioritise the initiatives with the greatest potential impact.
- Establish a rigorous approach to
experimentation and impact measurement
, defining success metrics, guardrails, attribution frameworks and post-launch measurement.
- Lead deep-dive analysis across demand, conversion, engagement and monetisation, using SQL and modern visualisation tools to separate meaningful signals from noise.
- Turn complex analysis into
clear, quantified recommendations and compelling narratives
for senior leadership and ELT audiences, consistently answering the "so what?".
- Track the impact of recommendations after implementation, ensuring analytics ultimately translates into measurable business outcomes.
- Build, mentor and develop a high-performing team of analysts, raising analytical capability through coaching, knowledge-sharing and strong analytical standards.
- Own and prioritise the International Markets analytics roadmap end to end, operating with a high degree of autonomy and accountability.
Desired Experience
Bachelor’s degree from a leading institution; with an MBA is highly desirable
Management Consulting experience, with a strong preference for MBB
- Significant experience leading
Analytics, Business Intelligence, Product Analytics or Growth Analytics
within a high-growth, product-led technology business.
- Strong commercial understanding, with experience applying analytics across multiple domains such as Product, Marketing, Growth, Commercial or Monetisation.
- Demonstrated ability to partner with senior business leaders and influence strategic decisions through data.
- Exceptional structured problem-solving skills, with the ability to turn ambiguous questions into clear hypotheses, analyses and recommendations.
- Strong understanding of
experimentation, measurement frameworks, attribution
and causal thinking.
- Advanced SQL capability and experience with visualisation platforms such as QuickSight, Tableau, Looker or similar.
Our promise to talent
Property Finder Guiding Principles
- Think Future First
- Data Beats Opinions, Speed Beats Perfection
- Optimise for Impact
- Act Like An Owner
- The Biggest Risk is Taking no Risk at All
Not included in the source posting: about the role, benefits.
Skills
Who can apply
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