
Sr. Specialist, Business Data Analysis
Miami, FLJobSeen 1w agoSeen in employer's feed 2 days ago
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At a glance
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Job overview
DHL Express is hiring a Data Analyst to support its Miami hub through operational analysis, process improvement, automation, and tool development. The role analyzes performance and identifies opportunities to improve service quality, productivity, cost efficiency, and customer satisfaction. It works across operational and corporate teams to provide data-driven recommendations aligned with DHL’s strategic objectives.
Skills & qualifications
Skills
Qualifications
Full job description
What makes DHL great? Our People! We know each employee’s individual contributions make us the #1 Express Delivery and Logistics Company in the world.
DHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our corporate 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.
DHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our corporate 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…
DHL Express currently has an opening for a Data Analyst in Miami, Florida . This position will drive process improvements through data analysis, process automation and tools development. The Business Analyst supports the DHL Express MIA Hub by analyzing operational performance, identifying improvement opportunities, and providing data-driven recommendations that enhance service quality, productivity, cost efficiency, and customer satisfaction. This role acts as a key liaison between Operations, Industrial Engineering, Finance, IT, Maintenance, and Service Quality teams to ensure business decisions are supported by accurate analysis and aligned with DHL strategic objectives.
Key Tasks & Accountabilities:
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Collect, analyze, and interpret operational, financial, and service performance data to support decision-making across MIA Hub.
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Develop, maintain, and automate reports, dashboards, and Key Performance Indicators (KPIs) using business intelligence tools.
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Monitor hub performance, identify trends, and recommend actions to improve productivity, quality, cost, and service levels.
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Perform root cause analysis on operational issues and support the implementation of corrective and preventive actions.
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Support daily, weekly, monthly, and annual performance reviews by providing accurate and timely analytical insights.
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Partner with Operations, Maintenance, Finance, Quality, Safety, Security, and IT teams to identify improvement opportunities and drive business initiatives.
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Lead or support continuous improvement projects utilizing Lean, Six Sigma, and Industrial Engineering methodologies.
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Support ISO 9001 Quality Management System requirements, including risk assessments, audits, corrective actions, and continuous improvement activities.
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Identify operational risks and collaborate with stakeholders to develop mitigation plans.
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Present analytical findings, recommendations, and project updates to management and cross-functional teams.
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Drive a data-driven culture by promoting effective use of analytics and performance management tools throughout the hub.
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Develop ad-hoc analysis to find improvement opportunities, visualization, root cause identification, on business indicators and processes.
Required Skills & Qualifications:
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Typically requires BS/BA in related subject area and 3-5 years’ experience in related field or MS/MA and generally 1-3 years’ experience in related field.
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1 to 3 years data analysis and reporting automation experience.
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Proficiency in Microsoft office applications: Excel (advanced), PowerPoint (advanced), VBA knowledge desired
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Knowledge in BI tool, Power BI or equivalent
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Knowledge in MySQL, SSIS desired
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Python knowledge is a plus
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SharePoint knowledge is a plus
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Ability to work under tight timelines.
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Problem solving skills.
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Creative and open mindset
This job description is intended to provide a general overview of the position and is not an exhaustive list of all duties, responsibilities, or qualifications. Responsibilities may change based on business needs, and additional duties may be assigned as required.
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
How this job compares
Set against the 4,869 open Data Analyst jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This postingNot listed
- Florida median$76–130K/yr92 salary ranges
- US median$29–36/hr369 hourly ranges
- Openings
- Olive Jobs lists 180 open Data Analyst jobs in Florida and 4,869 across the US. 6% of them nationwide are listed as remote or flexible.
- Hiring the most in Florida
- Deloitte17 open
- Molina Healthcare11 open
- MyFlorida9 open
- Experience
- This posting asks for at least 1 year of experience — less than three in four Data Analyst postings that state a minimum ask for (median 4 years, across 3,620 postings).
- Education
- 2,235 of the 4,869 open Data Analyst jobs (46%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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