Sr. BI Commercial Data Analyst

At DHL, our people are our greatest asset! Everyone’s contribution drives us to be the world's #1 logistics company.

Certified as a Great Place to Work and as a Top Employer, we're dedicated to fostering a positive, collaborative, and supportive environment for all. Our commitment and engagement with Our People ensure we continuously build a workplace we're all proud of. Plus, with competitive compensation and exceptional perks, we make sure your personal life shines just as brightly as your career.

Summary:
The Sr. BI Commercial Data Analyst plays a key role in developing, maintaining, and innovating data analytics reporting solutions within the commercial analytics team. This position will design, develop, and manage Power BI reports and dashboards by leveraging data analytics skills complemented with expertise in Power BI and a clear understanding of Azure Data Lake. This role will also be responsible for conducting piece level data (PLD) analysis to create customer profiles, working closely with the sales team to understand requirements and delivering accurate, logically sound analytical solutions. This position will support continuous improvement of existing reporting and analytical processes while contributing to broader data analytics projects as required.

Essential Duties & Responsibilities:

• Design, develop, and publish Power BI reports and templates that are visually intuitive and aligned with end-user needs and business requirements
• Ensure all commercial Power BI reports are logically sound, mathematically accurate, and free of errors prior to deployment
• Gather and understand business requirements from stakeholders and translate them into logical, accurate, and user-friendly Power BI reports and dashboards
• Maintain and monitor all published Power BI reports to ensure minimal downtime and that report logic remains aligned with evolving business requirements
• Conduct PLD analyses by working closely with the sales team to understand requirements, develop comprehensive solutions, and provide follow-up support to ensure findings are clearly understood
• Ensure all PLD analytical solutions are logically and mathematically sound, free of errors, and meet the requirements of the requesting stakeholder
• Proactively identify opportunities to make PLD analyses more comprehensive, insightful, and efficient over time
• Model and optimize logistics process to support product management via Power BI, Excel, Access and Python or other statistical tools
• Understand and become subject matter expert on USPS requirements and postal regulation on logistics questions (e.g. product classification, zone pricing, dangerous good, among others.)
• Support ad-hoc requests from sales and leadership team by providing data driven conclusion and recommendation to help drive product strategy
• Leverage Azure Data Lake to extract, transform, and analyze large volumes of data to support reporting and analytical needs
• Support additional data analytics projects across the commercial team as and when required
• Work both independently and collaboratively within the team to deliver high quality analytical outputs within agreed timelines
• Perform other duties and special projects as assigned

Education & Experience:

• Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science or a related quantitative field required
• Master’s degree/MBA in Business, Operations, Business Logistics Engineering or a related field preferred.
• 5 years of related work experience in data analytics, product management, management consulting or data science; 2 to 3 years working knowledge of Microsoft Power BI with good understanding of Azure Data Lake and Data Bricks

Requirements & Skills:

• Strong analytical, problem solving and quantitative analysis skills
• Knowledge expert of Microsoft Power BI
• Knowledge of databases, data analytics and visualization tools (Oracle SQL Developer, Python, Power BI and Tableau)
• Proficient in Microsoft Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory, and Azure Synapse Analytics for data extraction, transformation, and analysis
• Strong working knowledge of SQL, PySpark/Python, DAX, and Power Query for data processing and Power BI report development
• Strong written and verbal communication skills
• Strong planning, project management and organizational skills
• Proficient in Excel, PowerPoint, MS Access, Visio
• High attention to detail & forward thinking
• Ability to work individually or within a team in a fast-paced environment
• Ability to lead cross-functional teams and indirectly manage more junior team members

Physical Demands:

• Business travel as required (<10% of time)
• Regular sitting at workstation for 25 – 75% of the work shift
• Frequent standing and walking
  

As a leading logistics company in one of the fastest growing industries, at DHL eCommerce, we offer our employees, and their dependents benefits and incentives to make them successful at work and home.

• Competitive Pay
• Bonus Programs
• Retirement Savings - 401k with company match
• Medical, Dental, Vision, Well-being programs
• FSA/HSA availability
• Tuition Reimbursement
• Paid Time Off including vacation and sick time
• Company Paid Holidays and Floating Holidays
• Paid Parental Leave
• Employee Discount Program
• Employee Assistance & Work Life Program
• Short Term and Long-Term Disability
• Life Insurance

Annual Salary per location is listed below:

$74,025-$98,700=AL, AR, AZ, ID, IN, ME, MO, MS, NE, NH, NM, OH, OK, SC, TN, WV
$81,450-$108,600=CO, CT, DC, FL, GA, IA, KS, KY, MI, MN, NC, NV, OR, PA, TX, UT, VA, WI
$85,125-$113,500=DE, IL, MD, RI, WA
$88,000-$118,400=CA, MA, NJ, NY

This compensation range is provided as a reasonable estimate of the salary range for this role. Factors that may be used to determine your actual salary may include but are not limited to your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.