Data Science and Analytics Manager

Role Overview: You will have the opportunity to lead, mentor, and develop a high-performing analytics team in a large global setup. Your role will involve driving Agile delivery using JIRA, designing scalable analytics solutions, collaborating with stakeholders, promoting advanced analytics adoption, and fostering a culture of innovation within the analytics function.

Key Responsibilities: - Lead, mentor, and develop a high-performing analytics team skilled in Power BI, PowerApps, SQL, PySpark, Microsoft Data Fabric, Azure Data Factory, and Azure DevOps. - Drive Agile delivery using JIRA, ensuring timely and impactful execution of analytics projects. - Guide the team to design scalable and integrated analytics solutions aligned with strategic goals. - Collaborate closely with stakeholders across supply chain, manufacturing, and engineering to translate business processes into actionable insights. - Promote the adoption of advanced analytics and data-driven decision-making across the organization. - Communicate assertively and effectively with global teams, executives, and cross-functional partners. - Foster a culture of innovation, ownership, continuous improvement, and teamwork within the analytics function. - Demonstrate situational leadership, adapting style to meet the needs of individuals and teams. - Take full ownership of analytics initiatives, ensuring alignment with business priorities and measurable impact.

Qualifications Required: - Minimum 10 years of experience in data analytics, with deep domain expertise in supply chain and semiconductor manufacturing. - Proven international work experience and ability to operate effectively across cultures and geographies. - Strong technical proficiency in Power BI, SQL, PySpark, Azure Data Factory, Azure DevOps, and Microsoft Data Fabric. - Experience in Agile delivery models and project management using JIRA. - Exceptional strategic thinking, communication, and stakeholder management skills.

Additional Company Details: Omit this section as there are no additional details mentioned in the provided job description. Role Overview: You will have the opportunity to lead, mentor, and develop a high-performing analytics team in a large global setup. Your role will involve driving Agile delivery using JIRA, designing scalable analytics solutions, collaborating with stakeholders, promoting advanced analytics adoption, and fostering a culture of innovation within the analytics function.

Key Responsibilities: - Lead, mentor, and develop a high-performing analytics team skilled in Power BI, PowerApps, SQL, PySpark, Microsoft Data Fabric, Azure Data Factory, and Azure DevOps. - Drive Agile delivery using JIRA, ensuring timely and impactful execution of analytics projects. - Guide the team to design scalable and integrated analytics solutions aligned with strategic goals. - Collaborate closely with stakeholders across supply chain, manufacturing, and engineering to translate business processes into actionable insights. - Promote the adoption of advanced analytics and data-driven decision-making across the organization. - Communicate assertively and effectively with global teams, executives, and cross-functional partners. - Foster a culture of innovation, ownership, continuous improvement, and teamwork within the analytics function. - Demonstrate situational leadership, adapting style to meet the needs of individuals and teams. - Take full ownership of analytics initiatives, ensuring alignment with business priorities and measurable impact.

Qualifications Required: - Minimum 10 years of experience in data analytics, with deep domain expertise in supply chain and semiconductor manufacturing. - Proven international work experience and ability to operate effectively across cultures and geographies. - Strong technical proficiency in Power BI, SQL, PySpark, Azure Data Factory, Azure DevOps, and Microsoft Data Fabric. - Experience in Agile delivery models and project management using JIRA. - Exceptional strategic thinking, communication, and stakeholder management skills.

Additional Company Details: Omit this section as there are no additional details mentioned in the provided job description.