Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 5

0. Implementation of reporting systems on Power BI and Tableau from scratch;
1. Implementation of analytical solutions to increase revenue;
2. Showed and researched the most effective user cohorts in the early stages of products;
0. Building analytics and research based on best practices, unit economics, deep funnel research, selecting the most effective traffic sources and statistical analysis;
1. Clear and user-friendly visualizations with Power BI, Tableau & Looker Studio;
2. Designing | writing views, procedures & performing DDL, DML, CTE operations in SQL (Google BigQuery, AWS Redshift, AWS Athena, PostgreSQL, Oracle SQL, MS SQL, SQP IQ, Teradata SQL Assistant);
3. Full configuration of Google Analytics (4 | Universal), in the scope of Accounts | Properties;
4. Page markup using Google Tag Manager and DataLayer;
5. Design, run and analyse result of A/B tests (Firebase & Google Optimize);
6. Cohort analysis and work with such metrics as CAC, ARPC, ARPU, ARPPU, CPA, ABV, LTV, Revenue, ROI, ROAS;
7. Analyze heat maps, scrolling and surveys with Hotjar;
8. Cross-network tracking and attribution using AppsFlyer, Adjust, Mixpanel;
9. Using ML/AI algorithms to solve clustering, NLP, recommendation, and prediction problems;
10. Installing Facebook, TikTok, Twitter, Linkedin pixels;
11. Facebook Ads, Snapchat Ads;
0. The ability to make data-driven decisions, take ownership of projects, and have autonomy in designing and implementing analytical solutions;
1. Access to quality data;
2. Punctuality and compliance with deadlines by colleagues;
3. Advanced tools and technologies;
4. Correct management and competent workload distribution;
5. minimum amount of routine;