Php help car javascript jquery állások Pomázon főiskolai végzettséggel

• Oracle adatbázis alapú rendszerek továbbfejlesztése (SQL, PL/SQL, APEX)
• Adatbázis alapú üzleti logika fejlesztése
• Front-end fejlesztési feladatok ellátása
• Riportok készítése
• Igényfelmérésben és szakmai egyeztetéseken való részvétel
• Fejlesztési feladatok nyomon követése
• Dokumentálás és tesztelés

• Drive data-driven decision-making through the development and maintenance of reports, dashboards, and KPIs using Excel and Power BI
• Support budgeting, investment evaluations, and savings initiatives through cost analysis, performance tracking, and actual vs. budget comparisons

• Ensures customer orders are organized for shipment in accordance with customer-requested delivery dates. Support expedited shipments in case of urgency.
• Provide regular cost analyses for transportation services.
• Handling logistics disruptions and productivity problems.

• Monitor developments in the FMCG and non-alcoholic beverage markets, as well as consumer trends, and identify business opportunities and risks.
• Analyze information from both internal and external data sources and translate findings into actionable business insights.

• Collects and consolidates transfers of value (ToV) data from multiple source systems and business functions across supported markets, following defined collection processes
• Performs first-level data quality checks (completeness, accuracy, duplicates) ahead of country-level submission

• Developing and implementing sales strategies to achieve revenue and profitability targets.
• Identifying new business opportunities, acquiring new customers, and expanding market presence across Europe.

• Posting of incoming invoices (PO/ non-PO) for EMEA region
• Reconciliation of vendor open items
• Active participation of month end and year end closing activities
• Participation of SAP development projects
• Preparation of ad-hoc reports

Designing, developing, and evaluating machine learning models on complex telecom and retail data to transform high-volume datasets into production-ready solutions such as churn prediction models to drive retention offers or point-of-sale fraud models to cut first-payment defaults...