What are the responsibilities and job description for the BIT Data Analyst position at DHL Express?
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