Senior Data Analyst, Lifecycle

Finom

. Own measurement and experimentation for customer activation and retention .

Posted 11/3/2026full-timeRemote • NetherlandsSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in measurement and experimentation for customer activation and retention, utilizing SQL and Python for data analysis and experiment design. Proficient in causal inference methods and capable of translating complex data insights into actionable strategies for non-technical stakeholders.

Highest-signal resume keywords

SQLPythonExperiment DesignCausal Inference MethodsStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Experiment DesignStatisticsDefensible Metric DesignClusteringSegmentationPredictive ModellingUplift Modelling

Soft Skills

CuriosityOwnershipAbility To Push BackReframing Requests

Tools & Technologies

Power BITableauBrazeDatabricks

Industry Keywords

Customer ActivationCustomer RetentionAudience SegmentationChurn ScoringNext-Best-Action Logic

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Own measurement and experimentation for customer activation and retention
Join activation and retention initiatives from the planning stage across CRM, growth, and product
Define primary metrics and assess detectability using historical data
Reframe solution-shaped requests into problem-shaped ones
Design and analyse experiments end to end, including hypotheses, guardrails, audience splits, MDE, power, stopping rules, and readouts
Correct for channel and engagement bias
Apply causal inference methods when clean A/B testing is impossible, including diff-in-diff, matching, synthetic control, and geo designs
Develop hypotheses and launch experiments across onboarding and the customer lifecycle
Convert successful experiments into recurring segmented flows
Build segmentation, propensity, churn, and dormancy scoring models
Develop next-best-action logic and measure performance against current rules
Automate audience refresh jobs, readout templates, and Activation, Onboarding, and Retention dashboards
Ship Databricks-scheduled jobs that write tables for downstream tools such as Braze
Bring engagement data back into the warehouse

Requirements

What you’ll need

Strong SQL and Python
Git-based warehouse workflow with code review
Experiment design, statistics, and defensible metric design
BI experience with Power BI, Tableau, or similar
Stakeholder management and business sense
Ability to push back, reframe requests, and make recommendations to non-technical audiences
Curiosity and ownership
Causal inference methods and understanding of when each is valid
Clustering and segmentation used in production
Predictive modelling with honest validation
Uplift modelling is a plus
Braze or comparable CRM platform experience is a plus

Benefits

Comp & perks

Continuous personal and professional development resources and opportunities
Flexible remote or hybrid work across Europe
Stock Options Program for every team member
Ongoing support and care
Work & Swim Program: one month in a corporate apartment in Cyprus
Modern, friendly, and eco-conscious corporate culture