Sr. Data Analyst I

Sr. Data Analyst I

Requirements

• B.S. degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or other quantitative field
• Requires at least 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree or technical program; or equivalent work experience
• Advanced Power BI (Power Query) or similar data visualization software. Ability to write complex DAX functions
• Advanced SQL Database experience, Ability to both interpret & write complex data queries
• Experience interfacing with Snowflake
• ERP systems such as D365
• Microsoft Power Automate
• Microsoft Power Apps
• Proven record of supporting Operations functions such as: Supply Chain, Manufacturing, Quality; or experience working in a fast, paced Operations environment
• Basic project management skills: Stakeholder Management, Time Management, & Communication
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
• Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics
• Passion and proven interest in staying current to latest tools for analytics such as Artificial Intelligence, Snowflake Data Cloud, Alteryx, etc.

Responsibilities

• Manage, track, and evaluate operational activity and KPIs across Operations team; Improve real-time data visibility to the team for key metrics to drive continuous improvement.
• Create & analyze reports helpful for the business to perform better, adding sophistication, and scaling while driving efficiency. Identify trends and business opportunities through analysis of complex datasets.
• Perform ad hoc analysis for projects and day-to-day operations providing actionable data insights. Utilizes advanced expertise to solve complex technical problems & inform directional decisions.
• Synthesize and simplify complex data and quantitative findings into meaningful business recommendations that drive financial and operational performance improvement.
• Promote the use of Automation in Analytics. Partner with various IT teams and Operational Excellence Automation COE to utilize the latest trends to leverage AI tools.
• Work as a member of a cross-functional team to propose and implement high-impact data and analytic solutions that address business challenges across Operations business units.
• Present complex information using data visualization techniques.
• Work with diverse technical and business teams and provide data and analytics oversight to ensure project deliverables fulfill business needs and timing.
• Bridge understanding of processes & best practices across Operations functions (Supply Chain, Manufacturing, Quality) with back-end system data available to develop representative data solutions.
• Manage projects end-to-end throughout the Data Life Cycle. This includes capturing clear user requirements via user stories and other tools to best understand and enhance the user experience.

Preferred Qualifications

No preferred qualifications provided.