KEY RESPONSIBILITIES:
61 Work with support, design, product, and test engineering to drive automated solutions
61 Collaborate with stakeholders across the organization to align data, reporting and analytics efforts with business goals
61 Lead efforts to optimize and maintain data infrastructure, ensuring scalability, reliability and performance
61 Partner with IT, internal data teams to design and implement data solutions that meet business needs
61 Develop and maintain a deep understanding of our data ecosystem, including data sources, data models and data flows
61 Lead the evaluation and implementation of new tools and technologies to enhance data analytics capabilities
61 Partner with business stakeholders to define key performance indicators (KPIs) and establish reporting requirements
61 Develop and maintain reports to provide visibility and actionable insights to stakeholders
61 Perform analysis and hypothesis testing to answer business questions and support decision-making
61 Serve as a trusted advisor to senior leadership, providing data-driven insights and recommendations to drive business growth and efficiency
REQUIRED EXPERIENCE
61 Proficiency in data management tools, technologies and business intelligence systems such SQL, Power BI, EDW, Snowflake
61 Experience in SAP, INCA, Salesforces
61 Experience working in semi-conductors or electronics in either quality, product engineering
61 Strong engineering and/or program/project management background
61 Proven experience in business operations, reporting, data warehousing and analytics
61 Strategic thinker with a track record of driving business results through data-driven insights and initiatives
61 Passionate about data and analytics as a lever to improve business performance
61 Effective at driving complex multi-stakeholder processes and cross team programs
61 Ability to build cross-functional relationships, influence and collaborate at all organizational levels
61 Outstanding verbal and written communications skills for a global audience
61 Strong business acumen, analytical and detail oriented
PREFERRED EXPERIENCE:
61 PMP is preferred
ACADEMIC CREDENTIALS:
61 BS/MS studies in Computer Science, Computer Engineering, Machine Learning, Data Science, Business Analytics
61 6+ years of experience performing the role of Program Manager, Product Manager, Business Analyst or equivalent