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Senior Data Analyst, Lifecycle

44 minutes ago
Germany, Poland, Romania, Serbia, Spain
Full-time
Senior
Data Analyst
Data Science and Analytics
CRM Databricks Git Power BI Python SQL Statistics Tableau
Apply Now
Finom

Finom

Finom provides an online payment solution that enables entrepreneurs to easily open business accounts and efficiently manage their finances, offering features such as international payments, cashback rewards, and personal assistance to enhance financia...

Professional Services
11-50
Founded 2019
$20M raised
View All Jobs 92

Description

  • Define success metrics and assess experiment feasibility for CRM, growth, and product activation and retention initiatives.
  • Design and analyze end-to-end experiments, including hypotheses, guardrails, audience splits, power calculations, stopping rules, and recommendations.
  • Use causal-inference methods when clean A/B testing is not possible and account for channel and engagement bias.
  • Develop and test lifecycle hypotheses across onboarding, promotions, incentives, and customer communications.
  • Build segmentation, propensity, churn, and dormancy models to support personalization and incentive targeting.
  • Own the logic and measurement for next-best-action decisions across offers, feature nudges, messages, and channels.
  • Turn successful one-off experiments into recurring, segmented lifecycle flows.
  • Automate audience refreshes, experiment readouts, and dashboards for activation, onboarding, and retention.
  • Deploy scheduled Databricks jobs and integrate warehouse data with downstream tools such as Braze.

Requirements

  • Strong SQL and Python skills.
  • Experience with Git-based warehouse workflows and code review.
  • Strong knowledge of experiment design, statistics, and metric design.
  • Experience with Power BI, Tableau, or similar BI tools.
  • Ability to manage stakeholders, reframe requests, and communicate recommendations to non-technical audiences.
  • Demonstrated ownership and curiosity in independently leading an analytics area.
  • Experience with causal-inference methods, such as difference-in-differences, matching, synthetic control, or geo experiments (preferred).
  • Experience applying clustering and segmentation in production use cases (preferred).
  • Experience with predictive modeling and rigorous validation; uplift modeling is a plus.
  • Experience with Braze or a comparable CRM platform, including audiences, canvases, split testing, and channel mechanics (preferred).

Benefits

  • Opportunities for continuous personal and professional development.
  • Remote or hybrid work flexibility across Europe.
  • Stock Options Program available to all team members.
  • Supportive, modern, and eco-conscious workplace culture.
  • One month in a corporate apartment in Cyprus through the Work & Swim program.

Interested in this position?

Apply directly on the company website

Apply Now

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