Middle Data Analyst (Findies)

Job description

About Findies Findies is a network of personal digital experts that help women discover products that truly fit their lifestyle — in fashion, beauty, wellness, home and garden, and more. Our team is small, hands-on, fast-moving, and AI-first. We're looking for ambitious professionals who want real ownership and the opportunity to shape and build the business. As we grow within the $1.19 trillion e-commerce industry, your ability to deliver results and move fast will be essential to our success. About the role We are looking for an ambitious Data Analyst to empower our marketing and product teams and help us make the right decisions to drive our rapidly growing product. Joining as the second analyst on our data team, you will report directly to the Analytics Lead. The best part? The core data infrastructure and main dashboards are already set up, and major data quality issues have been resolved. This means you get to dive straight into the most exciting part of the analytics job: seeking insights, validating hypotheses, and seeing the immediate impact of your research on the business. Moreover, this role offers a unique opportunity to grow alongside the team in implementing AI-first approaches in data analytics and business in general. What you'll be doing 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. What you'll need 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.