Sr. BI Commercial Data Analyst

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