BIT Data Analyst - Military veterans preferred

What makes DHL great?Our People! We know each employee’s individual contributions make us the #1 Delivery and Logistics Company in the world.

Distinguished as No. 1 World’s Best Workplace™ by Great Place to Work and Fortune Magazine

DHL is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our culture is about personal commitment – to our business, to each other and to our global communities. DHL is dedicated to being a great place to work. In addition to competitive compensation packages, our employees enjoy a range of programs, services and benefits that bring the best to their personal lives.

Start YOUR career with DHL today…

This role will be responsible for the data analysis, data cleansing, reporting, data modelling & monitoring for different DHL functions/areas. Develop statistical/mathematical/analytical models and interpret the model results in the business context and prepare them for discussions with business.

Key Responsibilities:

• Perform sophisticated data analyses and cleansing, including evaluating data to determine data validity, identify patterns, trends and/or outliers
• Create reports, visualizations, presentations & executive summaries to present findings to stake-holders to review, analyze, and action
• Support the execution of data science projects
• Involvement in the analysis of the business processes for derivation of problem areas and analytical requirements to propose and execute appropriate mathematical methods and interpret the results with guidance
• Find opportunities to improvise and automate existing reports, tools and solutions
• Identify key barriers/core problems and applies problem-solving skills in order to deal creatively with complex situations. Troubleshoots and resolves complex problems
• Support the anchoring of data-driven decisions in operating business
• Explain facts, policies and practices related to job area & facilitate data science trainings
• Frequent contact with business representatives to understand analytical needs and to report on outcome

Skills & Qualifications:

• University degree in Data Science, Mathematics, Statistics, Physics, Computer Science or related natural sciences / technical degree
• 3+ years of experience in the field of data science
• Being familiar with analyzing complex datasets and deep knowledge of machine learning, statistics and/or mathematical optimization
• Ability to produce creative analytical solutions based on clear and thorough analyses of complex processes and business relationships
• Comfortable explaining complex analytical and technical content to various audiences
• Having programming skills or experience in scripting languages (preferably Python and SQL)
• Excellent communication skills

Employee Benefits & Incentives

DHL benefits and incentive offerings are designed to reflect a substantial experience for both employees and their dependents during their career and life journey. The specifics will vary, but wherever you join and in whatever role, you'll find our benefits and rewards are among the best in the industry. They include:

• Competitive Pay
• Bonus/Incentive Programs
• Retirement Savings – 401K with company match
• myShares – Voluntary plan to buy discounted company shares
• Medical, Dental, Vision, well-being programs
• Tuition Reimbursement
• Generous Paid Time Off – Starting at 4 Weeks (PT/FT)
• Paid Leave
• Employee Discount Program
• Employee Assistance & Work Life Program
• Outstanding training opportunities

DHL is committed to working with and providing reasonable accommodations to persons with disabilities. The job application process includes this application and possibly one or more interviews. If you believe that you might need a reasonable accommodation for any part of the application process, please send an e-mail to , and include your contact information and the requested accommodation. Only messages related to requests for these types of reasonable accommodations will be returned.

We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic, The EEO is the Law and supplement are available here: