Senior Data Analyst at Preply driving insights for business growth and operational efficiency. Collaborating with cross - functional teams to enhance retention and revenue metrics.
About the role
- Data Analyst at Preply responsible for driving data strategy and analytical initiatives for business growth. Collaborating with teams to influence key business decisions and optimize product metrics.
Responsibilities
- Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics — and translate these into actionable decision frameworks used by leadership.
- Define the long-term measurement for your domain, identifying structural growth levers and step-change opportunities beyond incremental optimization.
- Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step-change improvements in long-term value.
- Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade-off analysis, and risk assessment.
- Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company-level objectives.
- Design the analytics programme in your domain and execute, and evaluate large-scale analysis to test new ideas and measure their effectiveness in driving business outcomes.
- Act as a senior thought partner to business, operations, product, engineering, and data leaders, driving alignment across teams and elevating analytical standards across the organization.
- Lead cross-domain analytical initiatives (e.g., forecasting, scenario modeling, performance optimization).
Requirements
- Demonstrated track record of materially influencing business, operations or product strategy in complex environments, with clear examples of company-level impact.
- Expertise in strategic analytics within a business pillar, ensuring consistent KPI definitions and analytical standards across teams. Resolving ambiguity across business and technical stakeholders, balances rapid reporting with deeper strategic research, and delivers decision-ready insights that clarify trade-offs and shape high-impact initiatives, even when data is imperfect or incomplete.
- Strong understanding of subscription and marketplace economics, including LTV modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization.
- Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows.
- Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges.
- Ability to influence Directors and VP-level stakeholders, navigate conflicting incentives, and drive clarity in high-stakes strategic discussions.
- Interest in the bigger picture, feeling excited to impact the product roadmap and strategy.
- Experience mentoring and technically guiding senior data analyst, contributing to the overall growth and maturity of the data organization.
Benefits
- A generous monthly allowance for lessons on Preply.com
- Learning & Development budget
- Time off for your self-development
- A competitive financial package with equity
- Leave allowance
- Health insurance
- Access to free mental health support platforms
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Analyst analyzing marketplace performance and driving insights to improve retention and revenue at Preply, an education technology company.
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