• Provide strategic recommendations that directly influence business decisions and company strategy • Partner closely with business stakeholders in Operations to develop analytical solutions • Manage multiple stakeholders and present to executive and non-technical leaders • Lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting • Build data models behind operational metrics, using SQL • Create visually compelling dashboards in Tableau

• Write SQL queries to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes • Collect, clean, and interpret data from various sources to provide actionable insights that support business objectives • Develop ad-hoc reports and analytics packages for regular business reviews • Build and maintain reports in Tableau • Develop and maintain visualizations (using Tableau) to represent data, trends, and metrics • Deliver analytics that answer specific business questions and deliver actionable insights that create value and improve business outcomes • Support efforts that improve the accuracy of data and identify data quality gaps • Work cross-functionally to streamline data processes

• Gather and interpret data from multiple sources, ensuring accuracy and relevance • Conduct thorough analysis to identify trends, patterns, and actionable insights that drive business decisions • Design, build, and maintain interactive dashboards and reports using Salesforce, CRMA (Salesforce Analytics Studio), Tableau, and Google Sheets • Ensure visualizations are intuitive, accessible, and actionable for various business stakeholders • Collaborate with the Global Sales Operations Manager to understand the specific data needs, then design customized visualizations that meet these requirements • Ensure data is consistently clean, accurate, and properly structured for visualization • Scrutinize data for inconsistencies, errors, or missing information leveraging various standard business reports and dashboards for validation • Implement data validation techniques and work with data engineers or IT teams when necessary

• Develop and maintain data analysis workflows using Python • Extract and process data from JSON-based REST APIs, SOAP services, and SFTP data feeds • Clean, validate, and transform data to support reporting and analytics use cases • Collaborate with engineering and business teams to understand data requirements • Troubleshoot data issues related to API integrations and file transfers • Document data flows, logic, and assumptions clearly