Data Analyst

Location
Russia
Rate, USD
Not specified
Work schedule
Full Time,
Language skills
English, Russian
Available for Hire
Yes
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About me

I am a Data Analyst with over 2 years of experience specializing in product and data analytics. I have strong skills in Python, including libraries such as Pandas and NumPy, as well as SQL databases like ClickHouse and Greenplum. I am proficient in BI tools such as Power BI and Apache Superset, which I use to create insightful dashboards and reports.

In my current role at T-Bank (formerly Tinkoff), I independently launched an end-to-end employee survey process, managing everything from design and distribution to performance reporting. I have optimized survey distribution systems to increase completion rates and automated sentiment analysis of free-text comments using AI APIs, which has accelerated feedback processing.

I collaborate effectively with cross-functional teams ranging from 2 to 15 members to deliver actionable insights that enhance product performance and inform strategic decisions. I have experience conducting A/B tests that improved automated support bot inquiry handling, reducing operator workload and operational costs.

My technical expertise includes optimizing Python scripts and SQL queries to reduce metric calculation times significantly. I have designed and maintained ETL pipelines integrating data from Hadoop and Greenplum, improving data consistency and accessibility.

Previously, at DOM.RF, I automated weekly reporting processes, cutting preparation time drastically and eliminating manual errors. I supported product teams with ad-hoc analytical requests and built automated BI dashboards to provide real-time KPI visibility, enabling faster decision-making.

I hold a Bachelor’s Degree in Business Informatics with a focus on Information Technology and Big Data Analysis. Additionally, I earned a Meta Data Analyst with GenAI Professional Certificate. I am fluent in Russian (native) and have intermediate proficiency in English (B2 level).

I am passionate about leveraging data to drive business improvements and enjoy volunteering, having contributed to the VIII International Forum at the Financial University. I was also honored with the High Quality Award in the Business Analytics track at the CUP IT 2024 case championship.




Education

2021/2025 Bachelor of Business Informatics @ Financial University

Faculty of Information Technology and Big Data Analysis


Experience

Mar. 2024 – current Product Analyst @ T-Bank (ex. Tinkoff)

Optimized employee survey distribution system increasing completion rates by 17%. Automated sentiment analysis of free-text comments using AI APIs. Optimized Python scripts and SQL queries reducing metric calculation time from 1.5 hours to 20 minutes. Developed interactive dashboards in Apache Superset to track KPIs and team performance. Conducted A/B tests increasing automated support bot inquiry handling by 4%, reducing workload and cutting costs by approximately $15K/month. Segmented a 13K+ employee dataset for targeted surveys. Designed survey allocation algorithm reducing respondent fatigue. Built AI-powered clustering system for feedback grouping. Designed and maintained ETL pipelines integrating data from Hadoop and Greenplum.

Oct. 2023 – Mar. 2024 Data Analyst @ DOM.RF

Automated weekly reporting with Python scripts, reducing preparation time from 2 hours to 5 minutes and eliminating manual errors. Supported product teams with ad-hoc analytical requests. Built and maintained automated BI dashboards in Apache Superset providing real-time KPI visibility. Gathered and analyzed stakeholder requirements to align dashboards and reports with business needs.


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