Job Openings
Manager, Business Intelligence Center - Data Scientist & Analyst
About the job Manager, Business Intelligence Center - Data Scientist & Analyst
* Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
* Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
* Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
* ML Model creation: Create data analytic model including both deterministic and machine learning model,
* AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
* Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
* Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
* Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
* Decision making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning
* Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
* Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
* ML Model creation: Create data analytic model including both deterministic and machine learning model,
* AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
* Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
* Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
* Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
* Decision making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning