Sr. Business Intelligence Engineer

About the Role

Key Responsibilities

• Craft and develop scalable reporting, dashboards and data solutions using SQL, Tableau, and other tools
• Develop automation solutions to integrate disparate systems and automate otherwise manual workload
• Create analytical data models that support standardized metrics
• Collaborate with supply chain leaders and program management to identify and build metrics that enable leaders to lead their teams
• Build strategic reporting solutions for leadership to support Weekly Business Reviews (WBR), and Monthly Business Reviews (MBR)
• Work with partners and domain specialists to generate reporting, application, and integration requirements
• Provide business analysis and technical expertise to internal and external partners
• Maintain day-to-day workflow and communication with a variety of partners across the company

Requirements

• 8+ Years of experience working with data and analytics
• Bachelor's degree in a quantitative field or equivalent experience
• Strong SQL skills in an analytics context to build sophisticated datasets and models enabling data access to less data-savvy users across the entire enterprise
• Strong experience using Python to structure data frames (Pandas, etc.), develop automations, build machine learning models (XGBoost), and create data visualizations (Seaborn, Matplotlib)
• Ability to support, coach and mentor junior teammates in project execution and career development
• Familiarity using version control to check in production code in a shared repository
• Attention to detail and high level of accuracy
• Highly comfortable distilling complex analytical insights and conveying to executive leadership in a professional manner
• Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion
• Self-starter with a strong bias for action
• Ability to work side by side with business users to scope analytics and automation requirements
• Excellent written communication and presentation skills
• Must be a U.S. citizen or national, U.S. permanent resident (Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum

Nice to Have

• Familiarity with AWS Services, especially Sagemaker, ECS
• Familiarity creating, altering and dropping data tables in SQL
• Familiarity with Docker and container orchestration frameworks such as Kubernetes
• Familiar with manufacturing, PLM tools, and supply chain operations
• Experience with hierarchical data structures and recursive processing techniques
• Experience with JIRA, Gitlab and Confluence
• Knowledge of ETL tools and processes

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience
• 8+ years of experience working with data and analytics

Benefits & Perks

• Medical, dental, vision, basic and supplemental life insurance
• Paid parental leave
• Short and long-term disability
• 401(k) with a company match of up to 5%
• Education Support Program
• Paid Time Off: Up to four weeks per year and up to 14 company-paid holidays
• Discretionary bonus based on individual contributions and company results