ГерманияFinom
Senior Data Analyst, Lifecycle
2 дн. назад
ГерманияSeniorRemote
sqlpythongitdatabrickspower bitableaucausal inferencea/b testing
Senior Data Analyst role at Finom, a European tech startup building a financial B2B solution platform. The position is remote with a focus on customer activation and retention through measurement and experimentation.
About the company
- Finom is a European tech startup headquartered in Amsterdam, focused on developing an all-in-one financial B2B platform integrating banking, accounting, financial management, and invoicing.
- Recently closed €115 million Series C round, total funding about $346 million, backed by General Catalyst and others.
- Platform includes AI-enabled accounting, targeting entrepreneurs in key EU markets: Germany, France, Netherlands, Italy, Spain.
- Company culture emphasizes innovation, thorough research, fast implementation, and positive impact on users, employees, partners, and business.
About the product
- Finom offers a mobile-first financial platform integrating banking functions, accounting, invoicing, and financial management.
- Includes a growing feature set with AI-enabled accounting.
- Supports entrepreneurs to simplify financial management through integrated solutions.
Responsibilities
- Own measurement and experimentation related to new customer activation and existing customer retention.
- Decide what to test, how to test, and interpret results for CRM campaigns, promos, onboarding, and next best actions.
- Join activation and retention initiatives early, define primary metrics, check detectability on historical data, convert solution requests to problem statements.
- Design and analyze experiments end-to-end: hypothesis, guardrails, audience split, MDE and power, stopping rule, readout with conclusions.
- Correct for channel and engagement bias using causal inference when clean A/B tests are impossible.
- Propose and launch new experiments in onboarding and lifecycle, scale wins into segmented flows.
- Build simple models for segmentation, propensity, churn and dormancy scoring to feed personalization and targeting.
- Own logic and measurement of next best action rules to optimize offers, nudges, and messages per customer.
- Automate recurring work including audience refresh jobs, readout templates, dashboards.
- Implement models using Databricks workflow and integrate engagement data back into warehouse to close feedback loop.
Requirements
- Strong SQL and Python skills with a Git-based warehouse workflow and code review experience.
- Expertise in experiment design, statistics, and metric design with ability to defend approach.
- BI experience with tools like Power BI or Tableau.
- Stakeholder management and business sense to negotiate and reframe requests for non-technical audiences.
- Curiosity and ownership to independently manage area without waiting for instructions.
Nice to have
- Experience with causal inference methods and understanding their validity contexts.
- Experience with clustering and segmentation resulting in practical application.
- Predictive modelling with solid validation; uplift modelling is a plus.
- Experience with Braze or similar CRM platforms including audience building, canvases, native split testing and channel bias handling.
Conditions
- Opportunity to make genuine impact on evolving product.
- Work remotely or hybrid across Europe with flexibility to travel.
- Stock options program available to all team members from junior to founders.
- Supportive, modern, eco-conscious corporate culture prioritizing well-being and success.
- Access to Work & Swim Program offering one-month stay in corporate apartment in Cyprus for work-life balance.