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Data Development Coordinator

Ford Magyarország

Budapest Metropolitan AreaOn Site

Original Job Summary

Overview

The Data Development Coordinator at Ford Magyarország provides superior and competency-based services in data management. The role is focused on dashboard operation, data analytics and process improvement to support digitalization in line with FoE strategy and growth plans.

Key Responsibilities

  • Process development and automatization
  • Reporting and workflow development
  • Data modelling and dashboard development
  • Maintain dashboard dataflow from various sources
  • Collect and prepare data; develop queries, reports, charts, and graphs
  • Automate report generation processes and support Flash Scorecard process
  • Manage system access permissions and digital transformation assistance
  • Support volume tracking and program evaluation
  • Drive process improvements to enhance market engagement

Qualifications

Requires a College/University Degree; 2-3 years experience with project management (IT project experience preferred); strong business acumen; effective communication, analytical and critical thinking skills; and a solid understanding of SQL, Data Management, and Data Modelling.

Advantage

Basic Python (Pandas), Qlik Sense, Power BI or any BI tool, Google Cloud Platform experience, Alteryx and VBA are valued.

Key skills/competency

  • Data Management
  • Dashboard Development
  • Process Improvement
  • SQL
  • Data Analytics
  • Reporting
  • Automation
  • Data Modelling
  • Digital Transformation
  • Project Management

How to Get Hired at Ford Magyarország

🎯 Tips for Getting Hired

  • Customize resume: Tailor your experience to data management.
  • Highlight projects: Emphasize dashboard and automation tasks.
  • Research Ford Magyarország: Understand their digital strategy and culture.
  • Prepare examples: Showcase process improvement achievements.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query techniques.
Practice dashboard tool functionalities.
Study data modelling concepts.
Explore process automation examples.

Behavioral Questions

Describe a time you improved a process.
Explain handling multiple project deadlines.
Discuss resolving data integration challenges.
Share an experience with cross-team communication.