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Malt Strategy
Malt Strategy
Sasha Ivan JardónSI

Sasha Ivan Jardón

Business Analyst — Finance & Controlling

300 €/día
Rosario, AR
3-7 años
Microsoft Power BI
Business analysis
SAP
Financial Analysis
Python

Tiempo medio de respuesta: 1h

Acerca de Sasha Ivan

ENGLISH

Certified Public Accountant with 3+ years of multinational
experience at John Deere, combining financial operations
with process analysis and a modern technical stack.

Background:
- SOX Internal Audit — 4 group entities across Argentina
and Brazil, working alongside Deloitte external auditors.
End-to-end process analysis, root-cause investigation, gap identification and improvement proposals.
- Treasury — Multi-currency cash flow management (ARS/USD/EUR), variance analysis (forecast vs. actual), daily reconciliations across bank statements, SAP ERP and internal workbooks. Consolidated reporting to US headquarters under US GAAP.

Over the past three years I have intensively specialized in the technical stack now central to modern finance:
Python, SQL, advanced Power BI (DAX, Power Query), and the application of AI in financial analysis workflows.

What I help with:
→ Variance analysis and financial reporting (US GAAP/SOX)
→ Cross-system reconciliation and data validation
→ Power BI dashboards for finance, treasury and AR/AP
→ Process automation with Python (reconciliations,
reporting pipelines, data preparation)
→ Excel/Google Sheets optimization for large datasets
→ Financial process improvement and standardization

Available full-time, CET or EST hours.
Remote from Argentina.

---

ESPAÑOL

Contador Público (UNR) con 3+ años de experiencia multinacional en John Deere — Auditoría Interna SOX y Tesorería — y especialización técnica reciente en Python,
SQL, Power BI e IA aplicada a finanzas.

Disponible en horario CET/EST, modalidad remota. También atiendo proyectos en mercado
hispanohablante.
Servicios bancarios y financieros
Consultoría y auditoría
Modelos de negocios digitales
Servicios digitales
Productos farmacéuticos

  • Español

    Bilingüe o nativo

  • Inglés

    Competencia profesional completa

  • Portugués

    Competencia profesional básica

Acepta trabajo presencial
Rosario (hasta 50 km)

Experiencia

  • JOHN DEERE
    Treasury Analyst
    febrero de 2022 - marzo de 2023 (1 año y 1 mes)
    Rosario, Santa Fe Province, Argentina
    Weekly multi-currency cash flow forecasting (ARS/USD/EUR)
    and variance analysis (forecast vs. actual) across two
    legal entities (John Deere Financial and John Deere
    Industries), executing 5-10 daily transactions.

    Coordinated investments in money market funds (ARS
    200M-1B) and fund allocation for supplier payments across
    ~10 financial institutions, negotiating terms and ensuring
    operational liquidity.

    Daily cross-system reconciliations between bank
    statements, SAP ERP (FI/TR modules) and treasury
    workbooks to ensure data integrity in monthly closing
    cycles.

    Month-end consolidated reporting to US corporate
    headquarters in English, including variance commentary on
    cash position, investments and liquidity, after review and
    approval by local management.

    Automated financial reports between SAP and Excel to
    reduce manual consolidation work, improving visibility for
    departmental decision-making.

    Environment: multinational agribusiness, US GAAP reporting,
    multi-entity operations, ~10 banks, ARS/USD/EUR daily
    operations.
    Financial Analysis Business analysis sap Variance Analysis Reconciliation
  • John Deere
    Internal Controls Analyst (SOX)
    julio de 2020 - febrero de 2022 (1 año y 7 meses)
    End-to-end process analysis and SOX controls testing on
    key financial processes: accounts payable, accounts
    receivable, treasury, inventory, fixed assets, payroll and
    period-end close — covering 4 group entities across 2
    countries (John Deere Argentina, John Deere Brazil, PLA,
    and King Agro).

    Process documentation based on SAP ERP and Excel data:
    process narratives, risk identification, mapping of applied
    controls and root-cause analysis on exceptions, with
    improvement proposals adopted and implemented by business
    units.

    Integration audits following the King Agro acquisition,
    assessing alignment of acquired processes with group
    standards and internal control compliance in coordination
    with the Brazil regional team.

    Liaison with Deloitte external auditors during annual
    cycles: providing evidence, technical support to reviews,
    and resolution of findings.

    Data analysis on SAP transactions to identify operational
    inefficiencies, data integrity issues and control
    deficiencies across multiple financial processes and
    entities.

    Environment: multinational under SOX standards, multi-
    entity coverage (Argentina + Brazil), coordination with
    Big 4 external auditors, US GAAP framework.
    Internal Audits SOX Risk Management Process Improvement Data analysis
  • Operations & Finance Specialist | Process Automation Project
    Professional Development
    abril de 2023 - abril de 2026 (3 años)
    Denmark
    Financial and operational support in a small business
    environment (food & beverage), with direct accountability
    to ownership in a bilingual work environment (English/
    Danish).

    Ownership of daily financial operations: cash
    reconciliation, cost control, inventory tracking, vendor
    payments and management reporting.

    Identified and implemented process improvements across
    ordering, payment collection and closing workflows,
    reducing manual effort and improving accuracy.

    Sales data analysis to detect trends and support
    purchasing decisions; built reporting routines for the
    business owner.

    In parallel, intensive technical specialization: Python
    (CS50x — Harvard University), SQL, advanced Power BI (DAX,
    Power Query) and integration of generative AI in financial
    analysis and documentation workflows.

    Development of personal projects in financial process
    automation:
    → Automated reconciliation engine in Python (multi-
    strategy matching, 95%+ match rate, ETL design with
    auditable exception reporting)
    → Financial reporting pipeline: end-to-end automation
    from raw ERP exports to executive dashboard with data
    modeling, variance tracking and KPI visualization

    Environment: small business operations, bilingual (English/
    Danish), full ownership of finance function, self-directed
    technical development.
    Python Microsoft Power BI Process Improvement Microsoft Excel Data Modeling

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Formación

  • Certified Public Accountant
    National University of Rosario (UNR)
    Certified Public Accountant
  • CS50x: Introduction to Computer Science
    Harvard University
    CS50x: Introduction to Computer Science

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