Sr Business Data Analyst

DHL Germany; Goodyear (AZ); On-site; USD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Sr Business Data Analyst who can leverage analytics to enhance operational efficiency and drive decision-making. In this role, you will apply your expertise in data analysis and visualization to provide actionable insights that influence business outcomes. You will collaborate with site leadership and finance to develop predictive models and streamline reporting processes, ensuring that operational enhancements are effectively communicated and implemented. If you're passionate about problem-solving and eager to make a significant impact, this opportunity is perfect for you.

Benefits

Health insurance

Dental insurance

Vision insurance

Life insurance

401K plan

Paid vacation

Paid holidays

Qualifications

• 1+ years of analytics experience required.
• Undergraduate degree in a related field or equivalent experience.

Responsibilities

• Develop and communicate actionable insights through modeling and visualization.
• Analyze operational processes and performance metrics to drive efficiency.

Skills

Data Analysis

Problem-Solving

Data Visualization

Communication

Modeling

Education

Undergraduate degree in business, logistics, mathematics, statistics

Tools

Spreadsheets

Databases

Job description

Sr Business Data Analyst

Are you a passionate leader looking for autonomy and exciting career possibilities? Do you take an energetic and resourceful approach to problem-solving while bringing innovative ideas and analytics to life on behalf of your team and your customers? Do you enjoy effectively translating requirements into an efficient process and/or system solution? If so, DHL Supply Chain has the opportunity for you.

Job Description

To apply knowledge and analytics to develop and communicate timely, accurate, and actionable insight to the business through the use of modeling, visualization, and optimization. Responsible for the reporting, analyzing, and predicting of operational processes, performance, and Key Performance Indicators. Communication with site leadership, operations, and finance on efficiency, customer requirements, account specific issues, and insight into the business, operations, and customer.

• Applies hindsight, insight, and foresight techniques to communicate complex findings and recommendations to influence others to take action.
• Uses knowledge of business and data structure to discover and/or anticipate problems where data can be used to solve the problem.
• Uses spreadsheets, databases, and relevant software to provide ongoing analysis of operational activities.
• Applies data visualization for discovery and timely insights to decrease Cycle Time to Action (CTA).
• Assists site operations in identifying areas for improving service levels, reducing operational costs, and providing other operational enhancements.
• Supports account start-up analysis and/or report implementation as needed.
• Develops standardized and ad hoc site and/or customer reporting.
• Streamlines and/or automates 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.
• Partners with Finance to develop financial models to analyze productivity and payroll; calculates cost benefits and business impact and proposes solutions.
• Develops predictive models to help drive decision making.
• Designs, develops, and implements data gathering and reporting methods and procedures for Operations.
• Coordinates with Operations Systems group to ensure technical issues and problems 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.
• Responsible for assisting finance and senior leadership in modeling yearly labor budget based on operational and profile changes.

Required Education and Experience

• Undergraduate degree in business, logistics, mathematics, statistics, related field, or equivalent experience, required.
• 1+ years of analytics experience, required.

Our Organization has a business casual environment and focuses on teamwork, associate development, training, and continuous improvement. We offer competitive wages, excellent affordable insurance benefits (including health, dental, vision and life), 401K plan, paid vacation and holidays.

Our Organization is an equal opportunity employer.