Business Data Analyst II

About the Role

Key Responsibilities

• Apply hindsight, insight, and foresight techniques to communicate complex findings and recommendations to influence others to take action
• Use knowledge of business and data structure to discover and/or anticipate problems where data can be used to solve the problem
• Use spreadsheets, databases, and relevant software to provide ongoing analysis of operational activities
• Apply data visualization for discovery and timely insights to decrease Cycle Time to Action (CTA)
• Assist site operations in identifying areas for improving service levels, reducing operational costs, and providing other operational enhancements
• Support account start-up analysis and/or report implementation as needed
• Develop standardized and ad hoc site and/or customer reporting
• Streamline and/or automate internal and external reporting
• May investigate and recommend new technologies and information systems
• May conduct feasibility analyses on various processes and equipment to increase efficiency of operations
• Partner with Finance to develop financial models to analyze productivity and payroll; calculate cost benefits and business impact and propose solutions
• Develop predictive models to help drive decision making
• Design, develop, and implement data gathering and reporting methods and procedures for Operations
• Track, plan, analyze, and forecast storage capacities, inventory levels, equipment, and/or labor requirements
• Coordinate with Operations Systems group to ensure technical issues are being identified, addressed, and resolved in a timely manner
• May coordinate with ILD group on issues related to modeling customer solutions, including providing data and relevant insight for customer pursuits
• Assist finance and senior leadership in modeling yearly labor budgets based on operational and profile changes

Requirements

• Undergraduate degree in business, logistics, mathematics, statistics, related field, or equivalent experience
• 0-2 years of analytics experience

Qualifications

• Undergraduate degree in business, logistics, mathematics, statistics, related field, or equivalent experience
• 0-2 years of analytics experience

Benefits & Perks

• Competitive wages
• Excellent affordable insurance benefits (including health, dental, vision and life)
• 401K plan
• Paid vacation and holidays