Analytics
- Team Manager DHL
- 3.6 Weston, FL Job Details $94,575
- $126,100 a year 4 hours ago Qualifications Stakeholder engagement Cloud analytics services Databricks Data modeling Data visualization software proficiency Microsoft Access Data mining Data lake Team supervision Coaching Spark Business intelligence report generation Managing data teams SQL Azure Synapse Analytics Team development Supervising experience Business intelligence tools Bachelor's degree Azure Data Factory Leading team collaboration initiatives Data-driven problem-solving Query management Data transformation Technical Proficiency General management Python Cross-functional communication Data extraction Data analysis software Full Job Description
COMPENSATION
$94,575
- $126,100 ROLE SUMMARY The Manager, Commercial Analytics
- Team Lead will oversee commercial and customer data analytics, with a strong focus on piece-level data (PLD) analysis to develop customer profiles and provide pricing decision support.
This people-leadership role is responsible for developing and managing end-to-end analytical reporting solutions while directly leading and supporting a team of analysts and senior analysts. The position will monitor standard and ad hoc analyses across pricing, rate logic, and methodology-related topics to support effective pricing decisions, including the annual general rate increase process, Commercial IQ initiatives, and the development of AI-driven analytical solutions.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Build, maintain, and continuously improve PLD reporting solutions in Power BI, incorporating feedback and requirements from customers and the sales team; ensure all PLD analyses meet a one-day turnaround KPI. Support the annual general rate increase process in partnership with the commercial and pricing management team to help ensure the rate increase is seamless and error-free. Drive Commercial IQ initiatives and contribute to the development of AI-driven analytical solutions that monitor profitability and support pricing decisions. Analyze large volumes of commercial and customer data to generate actionable insights and recommendations for business stakeholders, within short turnaround times and as business needs require. Work cross-functionally with sales, pricing, and commercial teams to understand business needs and translate them into clear, effective analytical solutions. Directly lead, train, and manage a team of analysts and senior analysts, providing coaching, guidance, and oversight to ensure the quality, consistency, and accuracy of all analytical outputs. Identify and implement opportunities for automation and process improvement within commercial analytics and reporting. Provide customer-specific data analyses and ad hoc reporting as needed. Monitor all product and commercial Power BI reports to ensure minimal downtime and continued alignment between report logic and business requirements. Perform other duties and special projects as assigned.
EDUCATION AND EXPERIENCE
Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related quantitative field is required. Master's degree in Business Analytics, Data Science, MBA with an analytical focus, or a related field is preferred. 5-8 years of experience in analytics is required, including significant experience directly leading a team and managing analytical deliverables.
PREFERRED CERTIFICATIONS
Microsoft Power BI certification. Microsoft Azure certifications, such as Azure Data Engineer or Azure Data Scientist. Databricks certifications. Six Sigma or process improvement certifications, aligned with the cross-functional and process improvement responsibilities of the role.
REQUIREMENTS AND SKILLS
High-energy professional with a strong analytical mindset. Strong ability to lead, coach, develop, and manage direct reports in an analytics environment. Ability to quickly become familiar with new tasks, processes, data sources, and information. Expert knowledge of data mining, modeling, and analysis using SQL, Microsoft Access, Excel, Power BI, Databricks, and other relevant tools; SQL, Microsoft Access, and Excel are required. Proficiency 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. Proven ability to identify and solve problems using analytics and modeling techniques. Self-starter who works well under pressure, can manage multiple priorities simultaneously, and consistently meets deadlines. Ability to translate large data sets into clear business messages, insights, and recommendations. Excellent communication skills, with the ability to engage both technical and non-technical stakeholders.
WHY THIS ROLE MATTERS
This is an opportunity to play a key role in strengthening commercial decision-making through advanced analytics, automation, and business-focused reporting. The successful candidate will help transform complex customer and pricing data into meaningful insights that support profitability, improve processes, and enable smarter commercial strategies while leading a team that directly contributes to business impact. If your background aligns with the requirements above and you are ready to help shape data-driven commercial decision-making, we would be excited to hear from you. #SCOUT
