Management of the business operations of a region and/or country. Management of internal and external strategic issues and opportunities. Management of business operations initiatives through business intelligence (Country management, Business operations efficiency, Business intelligence) design, development, and optimization of automated data processes and analytical models to support decision-making across commercial operations and customer care. The role combines technical expertise in automation tools, data engineering principles, and statistical modeling to drive operational efficiency and actionable insights. - Data Modeling & Analytics: - Develop robust data models to support predictive analytics, segmentation, customer behavior analysis, and forecasting. - Translate complex business requirements into efficient data solutions using SQL, Python, or R. - Collaborate with data engineering teams to ensure data models are accurate, scalable, and well-documented. - Dashboarding & Visualization: - Build and maintain interactive dashboards (Power BI, Tableau, etc.) for various stakeholders, including commercial, care, and strategy teams. - Present analytical findings and model outputs to senior management with actionable recommendations. - Process Optimization: - Identify opportunities for operational improvement through automation and data modeling. - Work with cross-functional teams (marketing, care, finance) to understand pain points and develop technical solutions. - Streamline reporting - Implement Crontabs - Data Governance & Quality: - Ensure high standards of data integrity, security, and compliance with internal policies. - Document data flows, logic, and models to support future development and scalability. Education: - Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. - Master’s degree or certifications in data analytics or automation tools is a plus. Experience: - 3–5 years of experience in data automation, analytics, or data modeling roles. - Telecom or service industry experience preferred, especially in commercial or customer operations. Technical Skills: - Advanced proficiency in SQL, Python, and data manipulation tools (e.g., Alteryx, KNIME). - Experience with data visualization tools (Power BI, Tableau). - Strong understanding of data modeling concepts (e.g., star schema, normalization, dimensional modeling). - Familiarity with cloud data platforms (AWS, Azure, GCP) is an advantage. Soft Skills: - Strong analytical thinking and attention to detail. - Excellent communication skills with the ability to translate technical concepts into business insights. - Ability to manage multiple tasks and collaborate across departments in a fast-paced environment. #J-18808-Ljbffr