Data analyst

Tasks: Research customer data and develop specific business recommendations Develop analytical tools for clients, such as dashboards, calculators, etc. Develop metrics and key performance indicators (KPIs) for product, marketing, sales, and customer success departments Set technical specifications for the development team to improve analytics. Design table structures and aggregates in BigQuery, our data warehouse. Optimize data usage costs in BigQuery Create processes for the analytics team: planning, retrospectives, task collection/setting/logging/reporting, communication with clients Create analytics documentation Hard Skills Must-Have: Proficient in SQL: aggregate and window functions, joins, subqueries, CTEs Python for data processing and analysis. Packages: pandas, numpy, plotly (or others for visualization) Excel: building unit economics models, PNL, and various calculators Experience with BI tools (we use Redash and Looker) Strong knowledge of product and marketing metrics Hard Skills Nice to Have: Experience with MySQL and BigQuery Redash, Looker, Amplitude, AmoCRM Soft Skills: Solving problems in the form of specific business recommendations Ability to explain research/calculation results to the team and management in an understandable way Proactively gather analytical needs from clients and turn them into specific tasks Ability to identify the real needs of clients and propose corresponding solutions Ability to estimate the timelines of one's work and manage client expectations Mentoring and training junior colleagues What we offer: Remote work - you can work from anywhere in the world; Opportunity for professional development and training; Participation in corporate trips - once a year, we organize a week of sailing experience for all employees of the company; Flexible calendar of holidays - our employees live in different countries, so we offer them the opportunity to form their calendar of holidays.