Олександр

ALEXANDR SALNIKOV
DATA ANALYST
Phone:[відкрити контакти](див. вище в блоці «контактна інформація»)
Location: Kyiv, Ukraine
Email: [відкрити контакти](див. вище в блоці «контактна інформація»)
LinkedIn: alexandr-salnikov
Telegram: Bucephalus_A
SUMMARY
DataAnalyst with experience in collecting, cleaning, and analyzing large datasets. Skilled in SQL, Python, BigQuery,
Tableau, and Looker Studio. Proficient in statistical analysis, cohort & churn analysis, A/B testing, and predictive
modeling. Able to clearly communicate results and support data-driven business decisions.

Skills & Competencies
Analytics & Methods
Exploratory Data Analysis (EDA), funnel analysis, cohort & retention analysis, churn analysis, A/B testing,
product and marketing analytics, KPI definition and tracking (conversion, LTV, ARPU/ARPPU, churn).
Data & BI Tools
SQL (joins, subqueries, CTEs, window functions), Python (Pandas, NumPy), Google BigQuery, Excel / Google
Sheets, Tableau, Looker Studio, Power BI.

Business & Analytical Skills
Translating business questions into analytical tasks, hypothesis formulation and validation, insight generation,
data-driven decision making, communicating results to non-technical stakeholders.

Additional Analytical Skills
Working with large datasets, basic understanding of data models, documentation of analysis and results, cross-
functional collaboration with product and marketing teams.

Soft Skills
Analytical mindset, structured thinking, attention to detail, problem-solving, time management, clear
communication.

PROJECT EXPERIENCE
Cohort Analysis, user_activityCohortand segmentation analysis was conducted to evaluate the number of users on a
monthly basis. The average
monthly revenue per unique user was calculated, and the most productive month was identified. Data was extracted,
key metrics (MRR, ARPPU, LTV, churn) were calculated, and reports were prepared.
Result: Analytical insights with visualizations were provided, which allowed for optimizing the allocation of
advertising expenses during specific time periods.
Statistical_funnel, correlation
The goal was to identify the number of users at each stage (from registration to the first purchase), calculate
correlations of each step to the initial one, and create clear visual maps for every stage.
Result: Auser activity funnel, stage-by-stage visual maps, and charts with calculationswerebuilt. It was revealed
that 6.8% ofusers reached thepurchase stage,while19–23% onaverage proceeded to the trial start.
WORK EXPERIENCE
Entrepreneur |Textile Business | 2018–2025
Founded and managed a textile business, overseeing operations and sales.
Analyzed demand and identified market trends to improve product positioning.
Built strong customer relations and expanded the client base.
Analyzed sales performance, conversion rates, and customer behavior to support pricing and marketing
decisions.
Made data-driven decisions on pricing, inventory, and operational priorities.
Achievement: Ensured stable business growth and competitive presence in the market.
Crypto Market Analyst | Independent Analyst | 2021-2025
Conducted in-depth analytical research of crypto assets, including market structure analysis, price action, and
volume dynamics.
Built and analyzed price charts, identifying global and local market cycles, diagonal trendlines, key support and
resistance levels.
Worked actively with CScalp terminal for real-time market analysis and execution.
Applied a conservative bounce-based trading system focused on capital preservation and risk minimization.
Achieved a consistent 75–80% profitable trade rate (Trader Make Money) through disciplined risk management
and data-driven decision-making.
Developed strong skills in probability-based thinking, drawdown control, portfolio risk management, and
decision-making under uncertainty.
Senior Manager | TIR Market | 2015–2018
Secured contracts with previously unreachable clients by applying data-driven pricing analysis, customer behavior
insights, and targeted negotiation strategies, contributing to a 2.3x increase in annual turnover.
Replaced competitors’ brands with company products through data-backed negotiations and value positioning.
Supervised nationwide sales of petroleum products and spare parts for cars and trucks.
Analyzed sales performance, conversion rates, and customer behavior to support pricing and marketing decisions.
Made data-driven decisions on pricing, inventory planning, and operational priorities.

Education
IT School 'GoIT' – Data Analysis (2025)
Crypto Market Analysis & Trading Program — Ekaterina Kostevich “Reality Transurfing” (2021)
Odesa I.I. Mechnikov National University – Specialist in Organization Management (2006–2011)
Languages
English – Intermediate
Ukrainian – Native