Senior Data Analyst Analytics Engineer

Summary

Join our team and build complex dashboards in Tableau, automate report delivery via APIs, manage Google Cloud Scheduler jobs, and write Python scripts for data analysis. Maintain and update the core data source in BigQuery, materialize external reference tables, and configure alerts. Handle ad-hoc analytical tasks, perform local database operations, and set up scheduled queries in BigQuery. This role requires expert-level proficiency in SQL, BigQuery, and Tableau, strong Python skills, and experience with GCP. A good command of English and fluency in Russian are also required.

Requirements

• Expert-level proficiency in SQL and BigQuery, including performance optimization and scheduled queries
• Strong experience with Python for data automation, API ingestion, and pipeline scripting
• Expert-level Tableau proficiency is essential - for building, optimizing, and maintaining complex dashboards
• Strong hands-on experience with GCP (BigQuery, Cloud Functions, Cloud Scheduler and Google Data Form)
• Good practical knowledge of PostgreSQL and AWS Redshift
• Solid understanding of data modeling, analytics, and statistical methods
• Strong communication and collaboration skills
• A good command of English and fluency in russian are required

Responsibilities

• Build complex dashboards in Tableau to support data analysis and reporting needs
• Develop methods to automatically send Tableau reports via APIs to Slack/Telegram
• Set up and manage Google Cloud Scheduler jobs for scheduled report delivery
• Write Python scripts to test hypotheses provided by product stakeholders
• Maintain and update the core data source in BigQuery, including table structures and logic
• Materialize external reference tables (e.g., from Excel or Google Sheets) into structured queryable data sources
• Configure alerting and notifications from Tableau to Slack/Telegram
• Handle a wide range of ad-hoc analytical tasks, including one-off queries and data investigations
• Perform local database operations, including manual data patching and updates
• Set up and maintain scheduled queries in BigQuery to ensure data freshness and automation

Benefits

• An opportunity to make something great even greater, you can be the reason why we grow, develop, and become the best fintech company on the market!
• Career prospects - we are young, we have huge ambitions, and it is important that our employees grow with us
• Work with coworkers who are passionate about their business
• Compensation that will fully correspond to the competence and knowledge, with yearly performance reviews
• Remote type of work
• 20 days of vacation time; bank holidays; sick leaves; additional birthday day off