DHL (Deutsche Post)-posted 3 months ago
$70,000 - $115,000/Yr
Full-time • Entry Level
Westerville, OH
5,001-10,000 employees
Couriers and Messengers

The Sr Business Data Analyst role at DHL Supply Chain involves applying knowledge and analytics to develop and communicate timely, accurate, and actionable insights to the business through modeling, visualization, and optimization. The associate will work two days per week at the customer site in Auburn Hills, one day at the Livonia office, and has the flexibility to work remotely for the remaining two days. The position is responsible for reporting, analyzing, and predicting operational processes, performance, and Key Performance Indicators (KPIs). Communication with site leadership, operations, and finance is essential to address efficiency, customer requirements, account-specific issues, and insights into the business and operations.

  • Apply hindsight, insight, and foresight techniques to communicate complex findings and recommendations to influence action.
  • Use knowledge of business and data structure to discover and anticipate problems where data can be used to solve issues.
  • Utilize spreadsheets, databases, and relevant software for 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 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 processes.
  • Investigate and recommend new technologies and information systems as needed.
  • Conduct feasibility analyses on various processes and equipment to increase operational efficiency.
  • 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 aid decision-making.
  • Design, develop, and implement data gathering and reporting methods and procedures for Operations.
  • Coordinate with Operations Systems group to ensure technical issues are identified, addressed, and resolved timely.
  • Coordinate with ILD group on issues related to modeling customer solutions, providing data and relevant insights for customer pursuits.
  • Assist finance and senior leadership in modeling yearly labor budget based on operational and profile changes.
  • Undergraduate degree in business, logistics, mathematics, statistics, related field, or equivalent experience, required.
  • 1+ years of analytics experience, required.
  • Medical
  • Dental
  • Vision
  • Prescription
  • Discounted Stock Purchase
  • Generous PTO policy
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