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I am Anna Tolmacheva, a Business/System Analyst with experience in data warehousing. I excel at gathering and structuring requirements, building clear documentation, and collaborating with stakeholders.\n\nMy background is in the banking domain, and I utilize SQL and Python for data analysis to deliver actionable insights. I am motivated to grow professionally and deepen my technical expertise.…

Anna Tolmacheva

Data Analyst, Data Scientist, Database Developer

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I am Anna Tolmacheva, a Business/System Analyst with experience in data warehousing. I excel at gathering and structuring requirements, building clear documentation, and collaborating with stakeholders.\n\nMy background is in the banking domain, and I utilize SQL and Python for data analysis to deliver actionable insights. I am motivated to grow professionally and deepen my technical expertise.…

Available to hire

I am Anna Tolmacheva, a Business/System Analyst with experience in data warehousing. I excel at gathering and structuring requirements, building clear documentation, and collaborating with stakeholders.\n\nMy background is in the banking domain, and I utilize SQL and Python for data analysis to deliver actionable insights. I am motivated to grow professionally and deepen my technical expertise.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Russian

Fluent

English

Fluent

Work Experience

Fault Tolerance Remote Analyst Intern

December 1, 2024 - March 31, 2025

Analyzed Cetus protocol market data to uncover liquidity trends and opportunities on the Sui blockchain; analyzed pool data, calculated liquidity depth and distribution, and visualized results; estimated trade sizes based on slippage thresholds; examined and visualized coin holders and wallet data; utilized blockchain APIs, Jupyter Notebook, and TypeScript; created clear documentation of analysis findings.

Business Analyst at GlowByte Consulting

March 1, 2022 - June 30, 2023

Worked with the bank's data warehouse: wrote and optimized complex SQL queries for large data volumes; completed 5 business tasks (e.g., automating reports for government subsidy programs, automating the search for duplicates of phone numbers of bank users), collected and specified business user requirements, and suggested problem-solving approaches; analyzed and prepared 20+ prototypes of data marts using PL/SQL to combine needed data from the warehouse; designed data models and data flows; formulated technical requirements for developers; conducted user questionnaires and designed BI reports; presented and negotiated solutions with bank data architects; authored Confluence documentation on data marts with algorithm explanations and user manuals.