BI Analytics Engineer

As a BI Analytics Engineer, you will be primarily responsible for delivering and maintaining highly available self-service data platforms. You will be part of a community of technical data analysts, with an opportunity to work on meaningful projects ranging from developing critical data pipelines that help run the business to building tools to analyze and support storytelling using Eaton’s sales, commercial operations, and strategic planning data, which guides the North American Sales organization. Your work will drive Eaton’s initiative to make informed data-driven decisions that maximize efficiency and effectiveness. This role will require you to work in a consultative capacity with product owners and business users to understand how they inform decisions for their teams and develop solutions to fulfill analytical, reporting, and operational data needs across these teams

"• Work closely with product owners and business stakeholders to develop analytics solutions
• Create analyses through creative visualizations and data storytelling techniques
• Build, maintain, and evolve data products, including data pipelines, models, and dashboards, that serve as the basis for all analyses performed by our North American Sales teams
• Maximize efficiency and streamline processes in our data pipeline and dashboard development framework using agile principles
• Collaborate within and across other teams like data engineering to drive improvements in data pipeline and data warehousing components that are simple, reliant, and performant
• Consult on and resolve tier 2 & 3 technical support issues related to the analytics platforms
• Develop strong understanding of data domains (sales, customer support etc.) captured through operational processes and customer interactions
• Drive adoption of analytics solutions by partnering with business teams to translate insights into actionable strategies and measurable business outcomes.
• Identify opportunities to leverage advanced analytics, automation, and AI-driven insights to improve sales effectiveness and operational efficiency."

Graduation, B.E./B.Tech (C.Sc, IT, EC), MCA
3 to 5
"• Bachelor’s degree in Engineering, Sciences, Data Analytics / Data Science, or a related field
• Minimum 7 years of experience working in analytics, business intelligence, data engineering or related STEM fields
• Minimum 7 years of working experience in relational databases and data warehouses (understand concepts of data modeling), and BI platforms/applications like Power BI"

Communication, Team Work, Problem Solving, Business Acumen, Analytical Mindset, Stakeholder Management