Senior Data Analyst

Stack

Responsibilities

• ▹Continue project management activities for system consolidations and further developments in new big data projects
• ▹Apply expertise in big data, data visualization and business intelligence tools
• ▹Analyze complex data sets, generate insightful reports and provide strategic recommendations to support business decisions
• ▹Develop and maintain BI dashboards, reports and data visualization tools to communicate findings to stakeholders
• ▹Design and implement data models, data integration and ETL processes to support BI initiatives
• ▹Lead and contribute to new data projects

Requirements

• ▹Completed studies in information technology, business administration or comparable vocational training
• ▹Proven experience as a Data Analyst, preferably in a senior or lead role with a strong BI focus
• ▹Experience with BI tools such as SAP BI, Tableau, Power BI, SAP Datasphere
• ▹Strong understanding of cloud services and big data technologies (e.g. Hadoop, Spark, AWS, Google Cloud, Azure, Databricks)
• ▹Experience in data modeling, data integration and ETL processes
• ▹Experience with programming languages such as Python or R
• ▹Fluent English, written and spoken

Nice to have

• ▹SAP BI and/or BW/4HANA experience
• ▹Readiness to manage external service providers

Soft skills

What we offer

• ▹Important, challenging and responsible tasks
• ▹Be part of the partner's unique growth story, offering outstanding development and career opportunities
• ▹Gain insight into the defense and automotive industries
• ▹Join a professional community of more than 30,000 colleagues worldwide
• ▹Participate in professional training and events
• ▹International, flexible and modern working environment in Budapest, with up to 90% remote work

About the company

Our partner company is a global leader in the manufacturing of systems, modules and components for commercial vehicles, combining individual products into efficient solutions while integrating advanced future technologies to meet evolving market needs.