DHL Express
Data science and reporting Senior Analyst, NOEP Americas
DHL Express, Plantation, Florida, United States,
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.
Role Purpose
DHL Express is looking for a Data science and reporting Senior Analyst, NOEP Americas (RCS K) within the NOEP and Process engineering Americas department. The role purpose is to implement Business Intelligence, Data Analysis & Analytics and reporting plans to drive business decision, insights and innovation.
Position is based in Plantation, Florida (Express AM HQ).
Work permit for US is required.
How will you contribute to the success of DHL?
· Derive analytical and data requirements from business needs & objectives.
· Cleanse, analyze, and report on different datasets from any function within the company.
· Interpret and visualize analytical results for business partners and other non-technical stakeholders.
· Develop statistical and/or optimization models (e.g., machine learning, deep learning, linear programming).
· Create solution prototypes for business users to experiment. Identify new use cases for the application of advanced analytics and facilitate a data-driven culture.
· Produce accurate outcomes on analytics tasks, ensuring reproducibility and precision of results.
Skills & Qualifications:
·Experience in analyzing large and complex datasets coming from different functions.·Knowledge of statistics, data visualization, and machine learning.·Able to produce creative analytical solutions based on clear and thorough analyses of complex processes and business relationships.·Experience in using our standard analytics tools such as Python, SQL, and NoSQL, Power BI / Tableau, SSIS, Power Platform / Power Apps, Excel.·Comfortable in explaining complex analytical and technical content to various audiences.·Experience supporting and working with cross-functional teams in a dynamic, and international environment.·Energetic team player with a positive ‘can do’ attitude.·Success-oriented problem solver. Independent work ethic, integrity, and loyalty.·Able to structure an optimized (relational) database.·Able to connect various data sources and preprocess raw data files (e.g. XML/JSON).·Able to write efficient, production-level Python code.·University Degree in a quantitative field preferred (e.g., Mathematics / Statistics / Physics / Computer Science / Industrial Engineering (or comparable).
DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. The EEO is the Law poster is available here: https://www.eeoc.gov/employers/eeo-law-poster
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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
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
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.
Role Purpose
DHL Express is looking for a Data science and reporting Senior Analyst, NOEP Americas (RCS K) within the NOEP and Process engineering Americas department. The role purpose is to implement Business Intelligence, Data Analysis & Analytics and reporting plans to drive business decision, insights and innovation.
Position is based in Plantation, Florida (Express AM HQ).
Work permit for US is required.
How will you contribute to the success of DHL?
· Derive analytical and data requirements from business needs & objectives.
· Cleanse, analyze, and report on different datasets from any function within the company.
· Interpret and visualize analytical results for business partners and other non-technical stakeholders.
· Develop statistical and/or optimization models (e.g., machine learning, deep learning, linear programming).
· Create solution prototypes for business users to experiment. Identify new use cases for the application of advanced analytics and facilitate a data-driven culture.
· Produce accurate outcomes on analytics tasks, ensuring reproducibility and precision of results.
Skills & Qualifications:
·Experience in analyzing large and complex datasets coming from different functions.·Knowledge of statistics, data visualization, and machine learning.·Able to produce creative analytical solutions based on clear and thorough analyses of complex processes and business relationships.·Experience in using our standard analytics tools such as Python, SQL, and NoSQL, Power BI / Tableau, SSIS, Power Platform / Power Apps, Excel.·Comfortable in explaining complex analytical and technical content to various audiences.·Experience supporting and working with cross-functional teams in a dynamic, and international environment.·Energetic team player with a positive ‘can do’ attitude.·Success-oriented problem solver. Independent work ethic, integrity, and loyalty.·Able to structure an optimized (relational) database.·Able to connect various data sources and preprocess raw data files (e.g. XML/JSON).·Able to write efficient, production-level Python code.·University Degree in a quantitative field preferred (e.g., Mathematics / Statistics / Physics / Computer Science / Industrial Engineering (or comparable).
DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. The EEO is the Law poster is available here: https://www.eeoc.gov/employers/eeo-law-poster
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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
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