About Aizhan
Russian
Native or bilingual
Experience
- MiralAnalytics Senior ManagerOctober 2023 - September 2024 (11 months)Abu Dhabi - United Arab Emirates(Operates theme parks such as Ferrari World, Warner Bros etc., 3 000+ employees) Abu Dhabi, UAE• Coached and led 3 junior Data Analysts in the team.• Provided actionable insights to top management and clients based on data from various sources (GA4, DB, surveys etc).• Built the Recency, Frequency, and Monetary Value Model and automated scripts by complex SQL queries for customer segmentation project.• Led BI projects from End-To-End (Requirements gathering, UAT sign-off, scheduling refresh timings, sup port etc).• Built various dashboards using complex DAX (Power BI), and advanced calculated field formulas (Tableau).
- MiralAnalytics LeadAugust 2022 - October 2023 (1 year and 2 months)Abu Dhabi - United Arab Emirates(Operates theme parks such as Ferrari World, Warner Bros etc., 3 000+ employees) Abu Dhabi, UAE• Optimized the recurrent report production timing from 4 hours to 30 min by optimizing the report using both Tableau and Power BI• Tested statistical hypotheses to evaluate the impact of projects (park timings, Annual Pass promotion, FacePass usage, etc).• Provided technical documentation for the Data Engineering team and business (Finance, F&B and Retail, Yas Concierge, Ticketing Departments).• Conducted reconciliation analysis investigation and daily Data Quality check for revenue and attendance metrics.• Led product support for a survey platform integration.• Built, provided QA and UAT for dashboards, and provided insights for cross-functional teams using Tableau, Power BI.• Provided ad-hoc analytic reports to management and business based on data from various sources (GA4, DB, surveys, etc).
- - LLP "Magnum Cash&Carry"Senior Data AnalystApril 2021 - April 2022 (1 year)Almaty, Kazakhstan(The largest retail chain in CentralAsia, 150+ stores, 12 000+ employees) Almaty, Kazakhstan• Integrated Symphony RetailAI IT Forecasting Module into existing Data flow pipelines. Reduced the project implementation time from 6 months to 4 months.• Analyzed data by SQL Oracle, and tested statistical hypotheses to increase forecast accuracy. Increased accuracy by 15%.• Provided insights and technical documentation for IT team.• Visualized and provided insights for non-technical teams using Power BI.• Coordinated IT team to fix system bugs and do additional developments of the product.
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Education
- Bachelor of Science in MathematicsNAZARBAYEV UNIVERSITY2019BSc in Mathematics with Minor in Economics