Сервіс пошуку роботи №1 в Україні
Arkadiia
Технічний спеціаліст
- Розглядає посади:
- Технічний спеціаліст, Database analyst, Finance analyst, Business analyst, Head of corporate reporting, Operations manager, HR-менеджер, Human care specialist, Data analyst, аналітик
- Місто проживання:
- Інші країни
- Готовий працювати:
- Дистанційно
Контактна інформація
Шукач вказав: ТелефонЕл. поштуМесенджер
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/17305437/?puid=78626
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ARKADIIA KUCHERENKO
Operations Professional Transitioning to Finance & Data Analytics | Payroll, Forecasting, SQL & Python
Payroll & Budget Management • Revenue Forecasting • KPI Reporting • Multi-Site Operations • Process Optimisation
London, UK | [відкрити контакти ](див. вище в блоці «контактна інформація») | [відкрити контакти ](див. вище в блоці «контактна інформація») | LinkedIn | github.com/arkadiiak
Full right to work in the UK — no visa sponsorship required (Ukraine Scheme)
PROFILE
Operations professional with 3+ years managing financial and workforce operations across a fast-paced, multi-site business, currently pursuing CIMA. Promoted twice in under two years — from Shift Supervisor to Salon Manager to full Operations Manager — now owning payroll, revenue forecasting and budget tracking of £420K+ monthly targets across 6 London locations. Proven ability to design data-driven frameworks that deliver measurable commercial impact, including a 50% reduction in staff turnover and consistent revenue-variance reporting used directly by ownership. Advanced in Excel and Google Sheets, with working knowledge of SQL and Power BI. Seeking a Finance, Data or Operations Analyst role to apply this analytical background full-time.
SELECTED COMMERCIAL IMPACT
• Manage revenue forecasting and reporting across 6 locations against a combined £420,400 monthly target (£376,145 actual, ~89% average completion)
• Delivered a 13.7% positive revenue variance (+£1,805.95) against weekly target at flagship location, including a 63.5% single-day outperformance
• Reduced staff turnover by 50% (from an average of 8 to 4 departures per 3-month period) after designing and implementing a tiered performance and compensation framework
• Built a 5-tier compensation framework spanning 6 performance criteria, standardising pay decisions across 30+ technicians
• Manage payroll and budget modelling for a fluctuating headcount of 25–31 staff monthly across 6 departments
• Designed and rolled out a 22-point store audit checklist across 4 categories, implemented across all 6 locations
• Introduced weekly (previously monthly) store-level reporting cadence, enabling faster variance detection and earlier corrective action
CORE EXPERTISE & TOOLS
Finance & Data: Budget modelling, revenue forecasting, budget forecasting, financial modelling, variance analysis, cost tracking, cost control, expense tracking, cash flow monitoring, spend analysis, P&L support, payroll processing, financial reconciliation
Operations & Reporting: KPI reporting, process optimisation, process improvement, multi-site operations, cross-functional coordination, stakeholder reporting, structured reporting, reporting accuracy, data-driven decision making, workforce planning, resource planning, performance tracking
Spreadsheets & Analytics: Microsoft Excel (advanced — formulas, pivot tables, dashboards), Google Sheets, SQL, Python, Power BI
Systems: Zenoti, Altegio, BrightHR, Microsoft Office Suite, Google Workspace, Notion, Trello
Languages: English (C1) · Ukrainian (Native) · Russian (Advanced) · Polish (B2) · German (B1)
CERTIFICATIONS
• CIMA (Chartered Institute of Management Accountants) — 2026
• SQL for Data Analysis (PostgreSQL / Microsoft SQL Server) — 2026
• Python for Finance & Data Analysis — Codecademy (2026)
• Data Analysis with SQL, Excel & Power BI — Coursera (2025)
• Human Resources Analytics — Coursera (2024)
• Artificial Intelligence for HR — Great Learning (2024)
• Introduction to Data Analysis using Microsoft Excel — Coursera (2024)
PROFESSIONAL EXPERIENCE
Salon Manager → Salon Operations Manager — SoShell Beauty Salon, London, UKJul 2025 – Present
Promoted from Salon Manager to Operations Manager within the first year, taking on full ownership of financial and workforce operations across 6 multi-site locations.
• Manage payroll and budget modelling of £25,000+ per pay period across 25–31 staff and 4 departments, including bonus calculation and cost variance tracking
• Build and maintain revenue forecasting trackers, monitoring performance against a £420,400 combined monthly target across 6 locations and reporting variances directly to ownership
• Designed a 5-tier compensation and performance framework, applied to 30+ technicians, reducing pay-decision inconsistency
• Reduced staff turnover by 50% through structured performance tracking and career-progression pathways
• Built and implemented a 22-point store audit checklist across first impression, team standards, client experience and equipment categories
• Own supplier cost tracking, purchase logs and daily cash reconciliation across high-volume, multi-site transactions
ADDITIONAL EXPERIENCE
Shift Supervisor — Pret a Manger, London, UKJul 2024 – Apr 2025
Supervised team shift logs, attendance data and cost-control monitoring in a high-transaction-volume retail environment.
Front of House Supervisor — Cumberland Hotel, London, UKFeb 2024 – Jul 2024
Supervised team scheduling and front-of-house operations; managed staff onboarding and training; handled escalated guest inquiries; processed transactions and monitored inventory during peak service hours.
HR Coordinator Assistant / Human Resources Assistant — Szerbud Real Estate Development, Rzeszów, PolandSep 2022 – Jun 2024
Maintained employee records, contracts and compliance reporting; produced regular summary reports for senior management.
EDUCATION
Bachelor of Arts: English Philology — University of IT and Management, Rzeszów, Poland
(Relevant coursework: business communication; data-driven reporting) — Degree awarded.
Operations Professional Transitioning to Finance & Data Analytics | Payroll, Forecasting, SQL & Python
Payroll & Budget Management • Revenue Forecasting • KPI Reporting • Multi-Site Operations • Process Optimisation
London, UK | [
Full right to work in the UK — no visa sponsorship required (Ukraine Scheme)
PROFILE
Operations professional with 3+ years managing financial and workforce operations across a fast-paced, multi-site business, currently pursuing CIMA. Promoted twice in under two years — from Shift Supervisor to Salon Manager to full Operations Manager — now owning payroll, revenue forecasting and budget tracking of £420K+ monthly targets across 6 London locations. Proven ability to design data-driven frameworks that deliver measurable commercial impact, including a 50% reduction in staff turnover and consistent revenue-variance reporting used directly by ownership. Advanced in Excel and Google Sheets, with working knowledge of SQL and Power BI. Seeking a Finance, Data or Operations Analyst role to apply this analytical background full-time.
SELECTED COMMERCIAL IMPACT
• Manage revenue forecasting and reporting across 6 locations against a combined £420,400 monthly target (£376,145 actual, ~89% average completion)
• Delivered a 13.7% positive revenue variance (+£1,805.95) against weekly target at flagship location, including a 63.5% single-day outperformance
• Reduced staff turnover by 50% (from an average of 8 to 4 departures per 3-month period) after designing and implementing a tiered performance and compensation framework
• Built a 5-tier compensation framework spanning 6 performance criteria, standardising pay decisions across 30+ technicians
• Manage payroll and budget modelling for a fluctuating headcount of 25–31 staff monthly across 6 departments
• Designed and rolled out a 22-point store audit checklist across 4 categories, implemented across all 6 locations
• Introduced weekly (previously monthly) store-level reporting cadence, enabling faster variance detection and earlier corrective action
CORE EXPERTISE & TOOLS
Finance & Data: Budget modelling, revenue forecasting, budget forecasting, financial modelling, variance analysis, cost tracking, cost control, expense tracking, cash flow monitoring, spend analysis, P&L support, payroll processing, financial reconciliation
Operations & Reporting: KPI reporting, process optimisation, process improvement, multi-site operations, cross-functional coordination, stakeholder reporting, structured reporting, reporting accuracy, data-driven decision making, workforce planning, resource planning, performance tracking
Spreadsheets & Analytics: Microsoft Excel (advanced — formulas, pivot tables, dashboards), Google Sheets, SQL, Python, Power BI
Systems: Zenoti, Altegio, BrightHR, Microsoft Office Suite, Google Workspace, Notion, Trello
Languages: English (C1) · Ukrainian (Native) · Russian (Advanced) · Polish (B2) · German (B1)
CERTIFICATIONS
• CIMA (Chartered Institute of Management Accountants) — 2026
• SQL for Data Analysis (PostgreSQL / Microsoft SQL Server) — 2026
• Python for Finance & Data Analysis — Codecademy (2026)
• Data Analysis with SQL, Excel & Power BI — Coursera (2025)
• Human Resources Analytics — Coursera (2024)
• Artificial Intelligence for HR — Great Learning (2024)
• Introduction to Data Analysis using Microsoft Excel — Coursera (2024)
PROFESSIONAL EXPERIENCE
Salon Manager → Salon Operations Manager — SoShell Beauty Salon, London, UKJul 2025 – Present
Promoted from Salon Manager to Operations Manager within the first year, taking on full ownership of financial and workforce operations across 6 multi-site locations.
• Manage payroll and budget modelling of £25,000+ per pay period across 25–31 staff and 4 departments, including bonus calculation and cost variance tracking
• Build and maintain revenue forecasting trackers, monitoring performance against a £420,400 combined monthly target across 6 locations and reporting variances directly to ownership
• Designed a 5-tier compensation and performance framework, applied to 30+ technicians, reducing pay-decision inconsistency
• Reduced staff turnover by 50% through structured performance tracking and career-progression pathways
• Built and implemented a 22-point store audit checklist across first impression, team standards, client experience and equipment categories
• Own supplier cost tracking, purchase logs and daily cash reconciliation across high-volume, multi-site transactions
ADDITIONAL EXPERIENCE
Shift Supervisor — Pret a Manger, London, UKJul 2024 – Apr 2025
Supervised team shift logs, attendance data and cost-control monitoring in a high-transaction-volume retail environment.
Front of House Supervisor — Cumberland Hotel, London, UKFeb 2024 – Jul 2024
Supervised team scheduling and front-of-house operations; managed staff onboarding and training; handled escalated guest inquiries; processed transactions and monitored inventory during peak service hours.
HR Coordinator Assistant / Human Resources Assistant — Szerbud Real Estate Development, Rzeszów, PolandSep 2022 – Jun 2024
Maintained employee records, contracts and compliance reporting; produced regular summary reports for senior management.
EDUCATION
Bachelor of Arts: English Philology — University of IT and Management, Rzeszów, Poland
(Relevant coursework: business communication; data-driven reporting) — Degree awarded.
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