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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Analyst, Lifecycle (Fintech): Owning measurement and experimentation for customer activation, onboarding, retention, CRM campaigns, and next-best-action flows with an accent on causal analysis, experimentation, and lifecycle modeling. Focus on designing end-to-end tests, correcting engagement bias, building segmentation and churn models, and automating Databricks-to-CRM data workflows.
Location: Remote across Europe; listed locations include Amsterdam and Cyprus.
Company
hirify.global is a European fintech startup headquartered in Amsterdam, building an all-in-one B2B financial platform that combines banking, accounting, financial management, invoicing, and AI-enabled accounting.
What you will do
Own measurement and experimentation for customer activation, onboarding, retention, CRM campaigns, promotions, incentives, and next-best-action initiatives.
Define primary metrics, assess detectable effects, design experiments, and deliver readouts that support shipping, iteration, or cancellation decisions.
Apply causal inference methods such as difference-in-differences, matching, synthetic controls, and geo designs when clean A/B tests are not possible.
Develop segmentation, propensity, churn, and dormancy models for audience selection, personalization, and incentive targeting.
Build next-best-action logic and measure its performance against existing rules.
Automate audience refreshes, experiment readouts, and Activation, Onboarding, and Retention dashboards using Databricks and downstream tools such as Braze.
Requirements
Strong SQL and Python skills.
Experience with Git-based warehouse workflows and code review.
Strong experiment design, statistics, and metric design skills.
BI experience with Power BI, Tableau, or a similar tool.
Stakeholder management and business judgment, including the ability to challenge requests, reframe problems, and communicate recommendations to non-technical audiences.
Curiosity, ownership, and the ability to independently run the area.
Nice to have
Experience with causal inference methods and understanding when each method is valid.
Clustering and segmentation that is implemented in products or workflows.
Predictive modeling with rigorous validation; uplift modeling is a plus.
Experience with Braze or a comparable CRM platform, including audiences, canvases, native split testing, channel mechanics, and engagement biases.
Culture & Benefits
Remote or hybrid work across Europe with flexibility to travel and work remotely.
Resources and opportunities for continuous personal and professional development.
Stock Options Program available to all team members.
Modern, friendly, eco-conscious culture with ongoing employee support.
Work & Swim Program offering one month in a corporate apartment in Cyprus.
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