Senior Data Analyst, Lifecycle

44 minutes ago
Full-time
Senior
Data Science and Analytics
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

Description

  • Define success metrics and assess experiment feasibility for activation and retention initiatives across CRM, growth, and product.
  • Design, analyze, and recommend actions for end-to-end experiments, including hypotheses, guardrails, audience splits, power calculations, stopping rules, and readouts.
  • Reframe solution-focused stakeholder requests into measurable customer and business problems.
  • Correct for channel and engagement bias, using causal-inference methods when clean A/B testing is not possible.
  • Develop and launch lifecycle experiments across onboarding, promotions, incentives, product changes, and CRM campaigns.
  • 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.
  • Automate recurring audience refreshes, experiment readouts, and activation, onboarding, and retention dashboards.
  • Deploy models through scheduled Databricks jobs and connect warehouse data with downstream tools such as Braze.

Requirements

  • Strong SQL and Python skills.
  • Experience with Git-based data warehouse workflows and code review.
  • Strong experiment design, statistical analysis, and metric design skills.
  • Experience with BI tools such as Power BI, Tableau, or similar platforms.
  • Ability to manage stakeholders, challenge requests, and communicate recommendations to non-technical audiences.
  • Demonstrated curiosity, ownership, and ability to independently lead an analytics area.
  • Knowledge of causal-inference methods and when to apply them (preferred).
  • Experience with applied clustering and segmentation (preferred).
  • Experience building predictive models with rigorous validation; uplift modeling is a plus.
  • Experience with Braze or a similar CRM platform, including audiences, canvases, split testing, and channel bias (preferred).

Benefits

  • Professional and personal development opportunities with direct product impact.
  • Remote or hybrid work flexibility across Europe.
  • Stock options program for all team members.
  • Supportive, modern, and eco-conscious workplace culture.
  • Work & Swim program, including one month in a corporate apartment in Cyprus.

Interested in this position?

Apply directly on the company website

Apply Now

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