Senior Analytics Engineer– BI/AI

Work Arrangement: Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to one of the following locations: Warren, MI or Austin, TX you are expected to report to that location three times a week, at minimum. The Role: We are seeking a highly skilled and enthusiastic Senior Business Intelligence (BI) Systems Engineer to join our Manufacturing IT organization. The ideal candidate will play a crucial role in collaborating across business functions, understanding business priorities, analyzing data, developing executive visualizations, and mining insights for the Manufacturing organization from the board room to the Manufacturing floor. You will lead, design and develop complex data assets such as impactful visualization reports, dashboards and self-service data products to aid decision making. You will collaborate with stakeholders to understand business needs, have a consultative approach and develop quantitative and qualitative solutions, and possess compelling storytelling skills to effectively articulate business insights. You are expected to have strong statistical and business analytics skills, build analytic solutions and support the dynamic needs of the business teams. This role requires flexibility and the ability to thrive in a fast-paced environment with quick turnaround times. What You’ll do (Responsibilities):

• Define, implement, and lead best practices and patterns for creating scalable, high-quality, executive visualizations.
• Collaborate with business stakeholders to identify opportunities and provide rapid analytic solutions as a consultant and trusted partner.
• Gain a deep understanding of the business, think strategically and comprehensively, and effectively communicate complex solutions through storytelling.
• Retrieve data from different source systems, integrate large volumes of data, applying your strong expertise in SQL, Databricks, Power BI or equivalents.
• Analyze complex data to develop insights and address business issues.
• Collaborate with other BI engineers, data engineers, AI engineers, data scientists, developers, product owners, program managers, and business stakeholders to understand data requirements and visualization needs while identifying, developing key metrics and KPIs for tracking business performance and progress.
• Engage with UX/UI designers to ensure seamless and user-friendly experience in data visualizations.
• Stay abreast of emerging trends and technologies in data, BI, AI and proactively find opportunities for implementation within Manufacturing data products.
• Mentor other junior resources.

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