DHL eCommerce

Equal Opportunity Employer/Disability/VET

Location: Florida, Weston (FLL)

SUMMARY:
The Sr. Data Analyst is responsible for data analytics around customer profile and profitability management. The position will research, analyze and gather data to produce reports aimed at supporting business decision making. Another key responsibility will be owning and maintaining a dialogue with cross-functional teams in regards to customer profile and profitability.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
• Develop and automate reports, models, KPIs, and related dashboards utilizing data from multiple sources and departments.
• Analyze and maintain customer profitability reporting.
• Lead customer profitability reviews and deep dives.
• Identify revenue leakages and propose solutions.
• Ensure best practice use of applications by keeping abreast with technology to ensure optimal performance of the applications.
• Improve systems and processes by studying current practices and suggesting modifications.
• Support additional commercial projects and initiatives.

REQUIREMENTS/SKILLS:
• High energy with high analytical mindset.
• Strong analytic and reporting background.
• Proven financial and business acumen.
• Strong problem identification and problem solving skills.
• Self-starter able to work well under pressure, perform and manage multiple tasks simultaneously and meet deadlines.
• Superior ability to multi-task and handle multi-projects simultaneously.
• Excellent organizational, communication, written and verbal skills.
• Ability to integrate data from various sources into a centralized repository.
• Ability to translate large data sets to key business messages.
• Demonstrated ability to interact with IT, Business Users and Project Team Members, to resolve any data issues, capacity, queries, etc.
• MS Excel, MS Access, SQL, PowerBI, DBMS concepts.

EDUCATION AND/OR EXPERIENCE:
• Bachelor's degree in Business Administration, Finance, Industrial Engineering or related degree.
• 5-7 years of working experience in a similar role or within the logistics industry.
• Proficient in identifying and solving problems, and utilizing analytics and modeling techniques.
• Proficient with dashboard, data reporting and data manipulation tools (i.e., PowerBI, Tableau, SSRS, SSIS, etc.).
• Proficient in Microsoft Office products. SME in Excel.
• Experience with SAP, Python, R a plus.
• First Choice or Six Sigma trained and certified is a plus.

PHYSICAL DEMANDS:
• Physical demands are mostly consistent with a professional office setting.
• Regular sitting at work station for 25 - 75% of the work shift.
• Frequent standing and walking.

PI