Senior Data Analyst, Lifecycle

Posted 1 day ago

This is a fully remote position, open to applicants in Cyprus, +1 more country.

πŸ“‹ Description

β€’ Take ownership of measurement and experimentation focused on customer activation and retention.

β€’ Participate in activation and retention initiatives prior to implementation across CRM, growth, and product teams.

β€’ Establish primary metrics and evaluate detectability utilizing historical data.

β€’ Design and analyze experiments comprehensively, including formulating hypotheses, setting guardrails, audience splits, MDE, power, stopping rules, and readouts.

β€’ Adjust for channel and engagement bias.

β€’ Utilize causal inference techniques when direct A/B testing is not feasible, such as difference-in-differences, matching, synthetic control, or geographic designs.

β€’ Generate hypotheses and initiate experiments throughout onboarding and the customer lifecycle.

β€’ Convert successful experiments into recurring segmented flows.

β€’ Develop models for segmentation, propensity, churn, and dormancy scoring.

β€’ Manage next-best-action logic and evaluate its performance against existing rules.

β€’ Automate audience refresh tasks, readout templates, and dashboards for Activation, Onboarding, and Retention.

β€’ Deploy models via scheduled Databricks jobs and integrate results with tools like Braze.

β€’ Reintroduce engagement data back into the data warehouse.


⛳️ Requirements

β€’ Proficiency in SQL and Python.

β€’ Experience with Git-based warehouse workflows and code reviews.

β€’ Knowledge in experiment design, statistics, and defensible metric design.

β€’ Familiarity with BI tools such as Power BI, Tableau, or similar.

β€’ Strong stakeholder management skills and business acumen.

β€’ Ability to challenge, reframe requests, and articulate recommendations to non-technical stakeholders.

β€’ Demonstrated curiosity and a sense of ownership.

β€’ Understanding of causal inference methods and their validity (preferred).

β€’ Experience with clustering and segmentation in production (preferred).

β€’ Background in predictive modeling with honest validation and uplift modeling (preferred).

β€’ Experience with Braze or similar CRM platforms (preferred).


🏝️ Benefits

β€’ Ongoing personal and professional development opportunities.

β€’ Flexible travel options and the ability to work remotely or in a hybrid setting across Europe.

β€’ Stock Options Program available to all team members.

β€’ Consistent support and care for employees.

β€’ Work & Swim Program: enjoy one month in a corporate apartment in Cyprus.

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