Middle Data Analyst – Findies

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Logo of Genesis Tech

Genesis Tech

1001 - 5000 employees

🏢 Enterprise

📱 Media

📚 Education

💰 Series B on 2015-01

Enterprise • Media • Education

Genesis Tech is a Ukrainian co-founding IT company that partners with top entrepreneurs in Central and Eastern Europe to build global tech businesses. Known as one of the most powerful tech teams in Ukraine and the CEE region, Genesis Tech has succeeded in publishing applications utilized by millions around the globe, with 400 million downloads worldwide. The company develops a range of tech products across various fields, including education, social discovery, dating, and health & fitness, integrating creative authoring with advanced AI technology. Genesis Tech is dedicated to enhancing the quality of life by creating fast-growing products, participating in cyber security, and spearheading educational initiatives. It's recognized for its entrepreneurial management structure and its influence in the tech industry.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Flexible work arrangements

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