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The Manager – Reporting and Analysis supports the US and Canada Commercial Services organization by developing and delivering advanced analytics, reporting, and data-driven solutions that improve understanding of performance across Sales, Marketing, and Revenue Management. This role primarily functions as an individual contributor, focusing on building, maintaining, and enhancing analytical assets and data processes. The Manager works closely with the Topline Analytics team to execute against defined priorities, translating business needs into scalable analytical workflows and outputs. The position emphasizes strong technical execution, including SQL, Python, and statistical or machine learning techniques, to support a range of use cases such as performance analysis, benchmarking, and predictive modeling.
Job Responsibility
Maintain and evolve standardized commercial reporting to support performance monitoring and decision making across Sales, Marketing, and Revenue Management
Develop and enhance reporting and analytical assets that provide clear, consistent views of commercial performance
Ensure reporting solutions are accurate, reliable, and aligned to agreed‑upon business definitions and metrics
Design and maintain data pipelines and analytical workflows using SQL and Python
Apply machine learning or statistical modeling techniques (e.g., clustering, segmentation, predictive modeling) to enhance analytical outputs
Manage and transform data within Snowflake and other data environments to support scalable analytics
Automate recurring processes to improve efficiency of data preparation, reporting, and analysis
Ensure data quality, consistency, and reliability across all deliverables
Partner with commercial services stakeholders to understand business needs and translate them into reporting and analytical solutions
Work closely with members of the Topline Analytics, data strategy, and reporting teams to execute against shared priorities
Support implementation of analytical approaches defined by team leadership
Assist in troubleshooting data issues and improving existing processes and workflows
Contribute to team knowledge sharing, documentation, and continuous improvement efforts
Requirements
4‑year degree from an accredited university in Business Administration, analytics, or a quantitative discipline (finance, economics, mathematics, statistics, computer science, data science, etc.) and 3+ years’ experience in analytics, reporting, or a related professional area
Experience using Python for data processing, automation, and analytical workflows
Familiarity with statistical methods, machine learning techniques, or predictive modeling approaches
Experience with BI and reporting tools such as Tableau or Power BI
Experience working within Snowflake or similar cloud-based data platforms
Strong analytical and problem-solving skills with attention to detail
Nice to have
Advanced degree in quantitative or analytical discipline or equivalent relevant work experience
Experience working with sales, marketing, or revenue management data in a commercial environment