Senior Data Analytics Lead for Strategy & Growth

Preply

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

Preply is seeking a senior Business Analytics professional to transform data into strategic insights that empower leadership. You will forecast, model scenarios, and drive data-informed decisions across FP&A, Product, Marketing and Operations.

Join a high-impact team partnering with senior leaders to support fundraising, roadmap execution, and the company’s growth trajectory toward IPO.

Qualifications

5+ years of experience in Business Analytics, Growth Analytics, Financial Analytics, or a similar analytical role.
Strong SQL skills and confidence independently working with large, complex datasets.
Excellent communication and storytelling skills, with the ability to influence VP and C-level stakeholders.
Strong analytical and critical thinking, with the ability to simplify complex business problems into actionable insights.
Proven experience building forecasting models, scenario analyses, financial impact models, and driver-based analyses.
Experience leading cross-functional analytical initiatives from problem definition through implementation.
Exceptional attention to detail and the ability to deliver high-quality work in a fast-paced environment.
A proactive, curious mindset with strong business intuition and a focus on pragmatic problem solving.
Familiarity with AI tools that improve analytical productivity and decision-making.
Advanced Excel or Google Sheets modelling skills.
Experience with data visualization tools such as Looker, Tableau, or Power BI.

Responsibilities

Partner with the FP&A team to provide analytical insights that shape strategic planning, forecasting, and company performance.
Deliver executive-ready analyses and presentations that support leadership decision-making, fundraising activities, and Preply’s roadmap toward IPO.
Lead end-to-end analytical initiatives, translating ambiguous business questions into executive-ready recommendations and measurable business impact.
Develop forecasting models, scenario analyses, driver-based models, and opportunity sizing to evaluate strategic decisions and quantify financial impact.
Connect Product, Marketing, and Operational initiatives with business performance, identifying the key drivers behind revenue, profitability, and efficiency.
Conduct deep dives into business performance to uncover growth opportunities, operational improvements, and emerging risks.
Partner across Finance, Product, Marketing, Operations, and the Data Chapter to establish a trusted, consistent view of business performance and key metrics.
Continuously improve analytical frameworks, business metrics, and decision-support models that enable scalable, data-informed decision making.