Data analyst in customer lifecycle

Finom; United States; Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Stock options program

Work & Swim program

Remote or Hybrid across Europe

Job summary

Finom is a European tech startup building an all-in-one financial platform for entrepreneurs. We’re seeking a data-driven growth analytics engineer to own activation, onboarding and retention experiments across CRM, product and channels.

You will design end-to-end experiments, build robust models and dashboards using SQL, Python and BI tools, and ship actionable insights that drive product growth. Remote or hybrid across Europe, stock options offered.

Qualifications

• Strong SQL and Python coding skills with a Git-based data warehouse workflow.
• Experience designing and defending experiments, statistics and metrics.
• BI experience with Power BI or Tableau or similar tools.
• Ability to push back, reframe requests and present recommendations to non-technical audiences.
• Curiosity, ownership, and proactive management of your area.

Responsibilities

• Design and analyze experiments from hypothesis to readout, ensuring proper guardrails and power.
• Automate recurring work: audience refresh, dashboards for Activation, Onboarding and Retention.
• Ship models in Databricks workflow and integrate results into downstream tools and data warehouse.
• Lead onboarding and retention experiments and develop next-best-action logic.

Skills

SQL

Python

Git workflow

BI experience

Stakeholder management

Ownership & initiative

Tools

Power BI

Tableau

Job description

Описание:

Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.

Задачи:

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.

Требования:

• 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.
• Будет плюсом: Causal inference methods and a clear sense of when each one is valid; Clustering and segmentation that ends up in use, not in a slide; Predictive modelling with honest validation.
• Uplift modelling is a plus; Braze or a comparable CRM platform: audiences, canvases, native split testing, channel mechanics and their biases

Условия:

Make a genuine impact on the product Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product. Work in the EU Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe. Become a stock options holder Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders. Receive unwavering support and care Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling. Work & Swim program Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.