Lifecycle Data Analyst - Activation & Retention (Remote EU)

Finom; Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Finom is seeking a Senior Data Analyst, Lifecycle to own measurement, experimentation and activation for new customers and ongoing retention across Europe. You will define core metrics, plan tests, and translate results into action across CRM, product and onboarding.

Design end-to-end experiments, build simple models for segmentation, propensity, churn and dormancy, and automate recurring work with Databricks workflows, dashboards, Braze audiences and downstream data feeds for Activation,

Qualifications

• Strong SQL and Python, and a Git-based warehouse workflow with code review.
• Experiment design, statistics and metric design you can defend.
• BI experience, Power BI/Tableau or similar.
• Stakeholder management and business sense: you can push back, reframe a request and land a recommendation with a non-technical audience.
• Curiosity and ownership. You run your area without waiting to be asked.

Responsibilities

• Join activation and retention initiatives before anything is built, whether they come from CRM, growth or product.
• Define the primary metric, check against historical data whether the effect is detectable at our volumes, and turn solution-shaped requests into problem-shaped ones.
• Design and analyse experiments end to end: hypothesis, guardrails, audience split, MDE and power, stopping rule, and a readout that ends in ship, iterate or kill.
• Correct for channel and engagement bias (not everyone opens email, and open and click populations are self-selected). When a clean A/B is impossible, use causal inference: diff-in-diff, matching, synthetic control or geo designs.
• Bring hypotheses of your own. Launch a few new experiments across onboarding and the customer lifecycle, and turn one-off wins into recurring segmented flows.
• Build deliberately simple models: segmentation, propensity, churn and dormancy scoring. They feed audiences, personalisation and incentive targeting.
• Over time these come together into next best action: for a given customer, which offer, feature nudge or message to send next, through which channel, and whether to send anything at all. You own the logic and the measurement of whether it beats the current rules.
• Automate your own recurring work: audience refresh jobs, readout templates, dashboards for Activation, Onboarding and Retention. Ship models the Databricks way (scheduled jobs write tables, tables map into downstream tools such as Braze) and bring engagement data back into the warehouse to close the loop.

Skills

SQL

Python

Git workflow

Experiment design

BI experience

Stakeholder mgmt

Curiosity

Ownership

Tools

Databricks

Braze

Power BI

Tableau

Job description

Finom is seeking a Senior Data Analyst, Lifecycle to own measurement, experimentation and activation for new customers and ongoing retention across Europe. You will define core metrics, plan tests, and translate results into action across CRM, product and onboarding.

Design end-to-end experiments, build simple models for segmentation, propensity, churn and dormancy, and automate recurring work with Databricks workflows, dashboards, Braze audiences and downstream data feeds for Activation,