Global Sales Compensation Data BI & Integration Analyst

You will be joining Cohesity, a leader in AI-powered data security and management, on a mission to simplify how organizations secure and manage their data while unlocking limitless value. As an Entry-Level BI Analyst in the Global Sales Compensation Team, your primary responsibility will be to create sales compensation-related reports, dashboards, and scorecards using tools like Smartsheet, Power BI, and Excel. Your role will involve collaborating with cross-functional teams to gather requirements, integrate data from various platforms, ensure data integrity and accuracy, automate reporting processes, and contribute to process improvement initiatives. Your attention to detail, problem-solving abilities, and communication skills will be essential in this role. **Key Responsibilities:** - Develop and maintain sales compensation reports, dashboards, and scorecards using Smartsheet, Power BI, and Excel. - Collaborate with global cross-functional teams to gather requirements and ensure accurate reporting. - Integrate data from platforms such as Workday, Callidus, Salesforce, Oracle, and others for comprehensive reporting. - Ensure data integrity and accuracy across all reporting platforms with a focus on data quality. - Assist in automating reporting processes to enhance efficiency and reduce manual effort. - Document processes and maintain operational documents for reporting activities. - Contribute to process improvement initiatives to enhance reporting efficiency and effectiveness. **Qualifications Required:** - Bachelor's degree in Business, Finance, Data Analytics, or a related field (recent graduates are encouraged to apply). - Strong Excel skills for data analysis and reporting. - Familiarity with Smartsheet and Power BI for report creation and data visualization. - Experience with data integration from platforms such as Workday, Callidus, Salesforce, and Oracle is a plus. - Knowledge of Sales Compensation is desired. - Strong skills in process improvement, data quality, and process automation. - Attention to detail and problem-solving abilities. - Good communication and writing skills to effectively convey information and collaborate with team members. - Ability to work collaboratively with diverse teams across different time zones.,