Vadim Glivenko
Data Analyst @Key Esg
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WORK HISTORY
Data Analyst @Key Esg
London, GB
Lead end-to-end development of multiple regulatory compliance modules (CSRD, IFRS S1/S2, Invest Europe, vSME), analysing regulatory documentation to define business requirements, data models, metrics, and validation rules that translate complex standards into structured, user-friendly data collection workflows- Design automated data validation controls using SQL, Python, and dbt for ESG metrics including GHG emissions, workforce, governance, and financial data, reducing client report preparation time significantly per reporting cycle- Perform data extraction, transformation, and analysis using SQL and dbt across multiple ESG data sources, including GHG emissions, energy consumption, workforce metrics, and financial data (revenue, CapEx, ESG-linked investments), building automated workflows that reduce manual data processing and improve reporting accuracy- Build customisable ESG dashboards and interactive reports using Superset and Power BI to visualise performance metrics, create proof-of-concept demos during prospect calls, and support sales conversations.
EDUCATION
University of Amsterdam
Winter school, Urban Studies/Affairs
Erasmus University Rotterdam
Master's degree
Saint Petersburg State University
Bachelor's degree, Political Science
University of Glasgow
Master's degree
Universitat de Barcelona
Master's degree
Humboldt-Universität zu Berlin
Exchange program, Political Science and Government
ABOUT VADIM GLIVENKO
I translate complex regulatory frameworks into clean, structured data points and build data products for fund managers and private equity firms, designing the pipelines and dashboards that help clients spend less time on compliance and more time making decisions.At KEY ESG, my role is to take ESG standards like CSRD, IFRS S1/S2, and SFDR and break them down into metrics, validation rules, and dashboards that make compliance feel manageable. The ESG and financial data I work with covers GHG emissions, energy, workforce, governance, and metrics like revenue, CapEx, and ESG-linked investments, collected across PE portfolios and fund managers. All of this feeds into pipelines I built in SQL and dbt that check and structure the data, improving accuracy across client portfolios and cutting report preparation time. Benchmarking tools and dashboards I created in Superset and Power BI then give them a clear view of their current ESG performance and areas for improvement, supporting LP reporting and prospect demos.At Worldbox Business Intelligence, I spent over two years growing from Credit Analyst to Data Analyst. In the credit risk role, I produced hundreds of risk reports and UBO assessments for clients across credit, payments, and financial services, working with financial statements under IFRS and GAAP, public registries across Europe and North America, and major credit data providers. As Data Analyst, I led multiple projects building SQL databases of 25+ million corporate entities and coordinated an international team across five Areas of Expertise:ESG Compliance (CSRD, IFRS S1/S2, SFDR, Invest Europe, vSME)| SaaS Product Development | Data Validation & Quality Controls | Data Management & ETL Processes | Business Intelligence | Project Management | Credit RiskTechnical Stack:SQL | Python (Pandas, NumPy, SciPy)| dbt | Power BI | Tableau | AWS Services | Snowflake | Superset | n8n
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