Analytics – Team Manager

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