Hypothesis Validation: take ownership and act as a judge for product and marketing initiatives.
Analyze A/B tests across product features, web funnels, paid marketing, and SMM activities, eliminating cognitive bias and ensuring data-driven decisions.
Deep Research: dive deep into the data independently to find hidden issues and non-obvious insights that can accelerate project growth.
Evaluate AI-features in the product: conduct sentiment analysis of chatbots by evolving our LLM-as-a-judge approach.
Develop new frameworks for effective user experience analysis.
Self-service analytics: develop dashboards in Tableau and build agentic AI tools to empower the analytical capabilities of key stakeholders.
ELT (Transform layer): contribute to our DWH (BigQuery) by building and enhancing dbt models.

Strong analytical mindset with excellent deep-dive research and problem-solving skills.
Experience in subscription-based products; product and/or performance marketing analytics.
Advanced SQL, preferably with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.)
Knowledge of statistics, A/B test analytics approaches, forecasting methods.
Expertise in Tableau or other BI tools.
High AI Literacy: solid understanding of LLM principles, a high interest and experience in using modern AI-tools for work and analytics.
As a plus: basic skills with modern ELT stack (Airflow, dbt) and Python for ELT.

Middle Data Analyst – Findies

Key skills