I am a Senior Data Analyst with extensive experience in ETL/DWH design, data analysis, and business intelligence. My expertise includes designing data warehouse business specifications, researching data sources, and architecting ETL logic to support enterprise data marts. I have a strong background in SQL, Python, and advanced Excel, enabling me to perform deep-dive analyses and develop automated reporting solutions that significantly improve efficiency.
Throughout my career, I have specialized in CRM analytics, customer journey analysis, cohort segmentation, and sales funnel construction, helping organizations optimize marketing and product strategies. I am skilled in data visualization using Power BI and Tableau, creating dashboards and automated reports that provide actionable insights to stakeholders.
I have a proven track record of process optimization, including automating reporting cycles and developing Spark SQL pipelines for data quality monitoring, which have reduced manual efforts and improved accuracy. My experience also includes AI integration, particularly in LLM prompt engineering, where I have enhanced response accuracy through optimized prompt designs.
I am adept at strategic development, analyzing market trends, customer behavior, and KPIs to support business growth and decision-making. I communicate complex analytical findings clearly through reports and presentations, ensuring stakeholders understand data-driven recommendations.
My professional journey includes roles at leading financial institutions such as Sberbank, Ingosstrakh Insurance, and Gazprombank Pension Fund, where I led data migration projects, developed customer analytics frameworks, and automated numerous reports. I hold an MSc in Analytical Government Administration from the Russian Presidential Academy of National Economy and am a SAS Certified Data Scientist.
I am passionate about leveraging data science and business intelligence to drive strategic initiatives and operational improvements. I am open to remote opportunities and eager to contribute my skills to innovative projects that harness data for impactful business outcomes.
Conducted deep-dive analysis on data quality metrics and key business performance indicators. Built and maintained reporting and dashboards in Power BI. Performed SQL ad-hoc analysis to answer critical business questions. Automated reporting processes, reducing report generation time by up to 70%. Researched data sources to find useful insights for stakeholders. Collected, analyzed, and formalized requirements at all levels from customers. Specialized in CRM analytics, including customer journey analysis, cohort analysis, sales funnel construction, and customer segmentation. Designed DWH specifications and source-to-target mappings for enterprise data marts, reducing developing time by 40%. Developed Spark SQL pipelines for data quality monitoring (70% faster automated checks). Implemented Gigachat AI agent with optimized prompt engineering improving response accuracy by 30%.
Led migration of management reporting from SAS to Oracle for 8 subsidiaries. Built customer analytics framework that increased retention by 15% through cohort segmentation and LTV by 10% via data enrichment (30% contact rate improvement). Developed Power BI dashboards monitoring 50+ marketing/sales KPIs. Analyzed and optimized business processes, prepared technical specifications for developers, and tested new solutions. Prepared strategic recommendations based on data insights, influencing company growth plans. Conducted deep-dive customer data analysis, identifying trends that increased retention by 25%.
Automated 30+ reports using Power BI and Python, saving 30+ hours/month. Developed client analytic models that improved conversion by 15%. Created executive dashboards influencing strategic investment decisions. Tracked key product metrics (conversion, churn, engagement) and proposed improvements.
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