Senior Manager - Data Reporting and Analysis
About the position
Responsibilities
• Provide business intelligence to evaluate complex issues and support decision-making.
• Collaborate with internal clients to understand their analytic requirements.
• Design research plans to gather necessary data and insights.
• Analyze complex operational, economic, and accounting data.
• Define problems, collect data, establish facts, and draw conclusions.
• Develop innovative strategies and predictive models.
• Consult with partners and senior leaders on insights and data-based solutions.
• Act as a liaison between business and finance to drive system enhancements.
Requirements
• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant work experience.
• Experience in analyzing big data and making business recommendations.
Nice-to-haves
• A degree in computer science, information systems, or a business-related field.
• Experience presenting complex ideas to various audiences.
• Experience building and deploying OLAP cubes with SSAS or working with Teradata SQL.
• Experience with statistical analysis, quantitative analysis, and predictive analytics.
Benefits
• Hybrid work environment with defined work location and flexibility.
• Minimum eight assigned office days per month.
Apply Now
Apply Now
Responsibilities
• Provide business intelligence to evaluate complex issues and support decision-making.
• Collaborate with internal clients to understand their analytic requirements.
• Design research plans to gather necessary data and insights.
• Analyze complex operational, economic, and accounting data.
• Define problems, collect data, establish facts, and draw conclusions.
• Develop innovative strategies and predictive models.
• Consult with partners and senior leaders on insights and data-based solutions.
• Act as a liaison between business and finance to drive system enhancements.
Requirements
• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant work experience.
• Experience in analyzing big data and making business recommendations.
Nice-to-haves
• A degree in computer science, information systems, or a business-related field.
• Experience presenting complex ideas to various audiences.
• Experience building and deploying OLAP cubes with SSAS or working with Teradata SQL.
• Experience with statistical analysis, quantitative analysis, and predictive analytics.
Benefits
• Hybrid work environment with defined work location and flexibility.
• Minimum eight assigned office days per month.
Apply Now
Apply Now