A Visualization Developer will be responsible for designing front-end, business partner-facing solutions and delivering dashboard experiences that enable Purchasing and Finance teams to make better, data-driven decisions in support of Stellantis' commercial operations.
Key Responsibilities include but are not limited to the following:
Understand and anticipate the needs of business partners to determine the best approach to effectively meet those needs through data visualizations
Work closely with business analysts, data scientists, data engineering, and data architects, to develop end to end reporting solutions Explore data to design, develop, and test enterprise-wide reporting and dashboard solutions
Visualize and calculate metrics, KPIs from various data sources
Conduct knowledge transfer to other IT and business personnel
Proactively monitors industry trends and identifies opportunities to implement new technologies, bring innovative solutions
Identify, design, and implement internal process improvements including the automation of manual processes, optimizing data delivery, and tuning of application design to maximize performance and end-user experience
Required Qualifications:
Bachelor's degree in engineering, Computer Science, Data Science, Purchasing/Finance or similar
Minimum of 5 years of professional experience
Exceptional communication, organizational, teamwork, and interpersonal skills
Minimum of 4 years of hands-on experience in delivering solutions utilizing visualization software tools: Power BI, Qlik Sense, QlikView or equivalent
Working knowledge of various data platforms, such as SQL, Snowflake, SAP, Hadoop, Oracle, AWS/Azure or other cloud services
Hands-on experience with Palantir Foundry, Snowflake Intelligence
Strong understanding of SAP configuration, master data, and business process flow.
SAP Analytics, SAP HANA, SAP AI/Joule experience
Preferred Qualifications:
Programming and Technical Skills: Experience with programming and scripting languages such as Java, XML, SQL, Python, R, C++, C#, .NET, object-oriented programming, or other domain-specific languages.
Data Integration and Flow Management: Experience building and managing data flows from multiple sources, including spreadsheets, relational databases, flat files, cloud platforms, and big data environments.
Hands-on experience with ETL, ELT, data ingestion
AI/ML Knowledge
Project experience within an Agile, Scrum, SAFe framework
SAP Analytics, SAP HANA, SAP AI/Joule experience
Automotive domain expertise