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OLEKSANDR IUSKIV Location: Remote | Work Permit: UA, UK
[open contact info](look above in the "contact info" section) | LinkedIn | Portfolio & Certificates
Data analyst with a Master's in Computer Engineering and commercial experience in retail performance
analytics, finance ops, Web3. Strong in spreadsheet systems design, SQL, BI. I deliver accurate reconciled
reporting and KPI insights that support budgeting, pricing, inventory control, and operational decision-making.

SKILLS LANGUAGES
●​ Google Sheets & Excel, SQL, Tableau & Power BI; ●​ Ukrainian, Russian – Native
●​ AI-assisted analysis & automation; ●​ English – C1 (IELTS Acad. 7.0)
●​ Data: cleaning, visualization, consolidation and synthesis;
●​ Large-scale data handling. Attention to detail and data accuracy CERTIFICATIONS &
(validation, reconciliation, error prevention); EDUCATION
●​ Financial & Commercial analytics (KPI tracking, SKU/brand ●​ Google Data Analytics by
performance, margin drivers, competitive intelligence and pricing Coursera
analytics, inventory and supply monitoring, promotion planning); ●​ Data Analyst in SQL by DataCamp
●​ Weekly/monthly/annual budgeting and financial planning; ●​ Ivano-Frankivsk National
●​ Financial reporting & bookkeeping (internal management Technical University of Oil and
accounting); Gas. Bachelor's (2020–2024) &
●​ Spreadsheet systems design; Master's (2024–Dec 2025) degree
●​ High-volume data workflows; fast-paced execution (tight deadlines, in Computer Engineering.
ad-hoc requests);

EXPERIENCE
Head of Finance Operations & Data Analytics | LOKA (Web3 rental platform with electronic
signature) | since Nov 2025, part-time remote
●​ Sole owner of internal data analysis and finance operations, maintaining real-time visibility across multisig
wallets by running expense, wallet-transfer (built wallet transfer ledgers with running balances for
same-day reconciliation), and settlement ledgers (implemented 50/50 cost-splitting and reimbursement
tracking, including overpayments/surplus) in Google Sheets from scratch.
●​ Set up multi-currency tracking (USD/UAH) and FX-rate conversion to improve consistency of internal
reporting across currencies using standardized conversion logic.
●​ Planned and tracked weekly payroll budget, improving short-term burn predictability.

Operations Manager & Junior Category Analyst | Kopiyochka (Ukrainian retail chain, 540+ stores, 16
regions) | since Feb 2025, full-time on-site
●​ Supported Kitchenware & Tableware category operations at a large regional discount retail chain, ensuring
daily execution for 1,200 active SKUs within a 10,000+ SKU category tree through inventory monitoring,
SKU-level analytics, and coordination within a 3-person team.
●​ Produced weekly performance reporting (turnover, sales, margin, inventory turnover) in structured Excel to
support category decision-making.
●​ Ran demand-based repricing for new arrivals and core SKUs (~20–30 SKUs per cycle) by benchmarking 3–4
competitors and proposing prices aligned with fixed internal price ladders (CM-approved).
●​ Forecasted SKU-level promotional demand for weekly promotions by estimating uplift using historical
promo coefficients, current stock levels, and promo duration; monitored execution and stock coverage
during promo periods.
●​ Ensured warehouse-to-store movement for active SKUs by diagnosing root causes of “stuck in warehouse”
cases via reports and activating SKUs across store clusters (status/matrix setup) to enable automated
distribution.
●​ Pulled and consolidated data independently from 1C, Power BI, Datawiz BES, Excel cubes for recurring,
ad-hoc analysis and dashboard creation.
●​ Applied AI-assisted workflows to accelerate recurring analytics tasks reducing manual effort in promo
preparation by using AI to identify comparable/analog SKUs from internal product data for uplift and
demand calculations, with manual validation of matches before final forecasts.
Additional experience: Technical translator, online English teacher.

PET PROJECTS
E-commerce Sales Analysis​ Cyclistic Bike Share User Behavior Analysis​
Analyzed 540,000+ UK-based online retail Explored behavioral differences between users of a
transactions to identify sales trends, seasonal Chicago-based bike rental system using over 6 months of
patterns, and product-level performance. Used data. Designed Tableau visuals (clustered bar charts,
SQL to clean and aggregate large datasets. seasonal usage graphs, geospatial maps) to present user
Google Sheets, Tableau to visualize trends and behavior patterns and actionable insights aligned with the
insights. business goal.