QUALIFICATIONS

• Business Acumen: Ability to analyze annual reports, understand sales strategies, and extract key data points relevant to performance management.
• Educational Background: Pursuing or holding a BS or MS in Business, Mathematics, Economics, Computer Science, Information Management, or Statistics.
• Programming Expertise: Knowledge and understanding of languages such as Python, Spark, and SQL.
• Proficiency in BI Tools: Proven experience and deep understanding of tools such as Power BI, Tableau, Excel, and other data visualization platforms.
• Analytical Skills: Demonstrated ability to collect, organize, analyze, and interpret large datasets with attention to detail and accuracy.
• Data-Driven Decision-Making: Skilled in identifying trends, building dashboards, and presenting findings to both technical and non-technical stakeholders to support strategic decisions.
• Automation and Reporting: Adept at automating processes and creating repeatable workflows to improve efficiency in sales reporting.
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You should be passionate about leveraging data to drive sales performance and business intelligence. This role involves transforming data into actionable insights to enable strategic business decisions. You will collaborate with cross-functional teams to optimize sales processes, automate reporting, and enhance decision-making frameworks. Key responsibilities include:

• Analyze and interpret sales data to evaluate performance metrics and identify trends that align with business objectives.
• Develop and maintain performance management models tailored to support sales strategies and growth initiatives.
• Enhance CRM adoption and quality metrics through continuous analysis and model refinement.
• Create, maintain, and improve automated reporting solutions for sales performance and business intelligence using tools like Salesforce, Power BI, and Tableau.
• Collaborate with the data team to integrate and leverage processes in Azure Databricks for advanced analytic solutions.
• Identify opportunities for process improvement and automation to streamline reporting and drive actionable insights.
• Identify and interpret trends and patterns in sales data to inform decision-making and strategy.
• Cleanse, validate, and prepare data to ensure accuracy and quality for reporting purposes.
• Build and maintain dynamic dashboards in Power BI to visualize and communicate sales performance metrics effectively.
• Work with management and stakeholders to prioritize business needs, ensuring timely and impactful data-driven insights.