Design, develop, and implement innovative tools and applications to enhance operational efficiency, consistency, and compliance across the organization. Collaborate with cross-functional teams to identify areas for process improvements, streamlining workflows to optimize productivity. Serve as a liaison, fostering seamless communication and coordination with internal teams to ensure the accurate and timely delivery of essential artifacts. Collect, organize, and analyze data to measure key performance indicators (KPIs) and assess their alignment with business objectives. Lead automation initiatives to drive internal team metrics improvement and contribute to the reduction of production costs. Exhibit meticulous attention to detail in data collection, input, verification, and analysis to ensure data integrity and precision. Present data in various formats to effectively communicate insights and support data-driven decision-making processes. Cultivate strong relationships with management and clients, facilitating productive interactions and understanding their specific needs and requirements. Demonstrate proficiency in APEX, Python, and Anaconda; particularly utilizing Jupyter Notebooks for data science and analytics work. Exhibit adaptability and a proactive approach in learning and adopting new tools and applications as per evolving technological landscapes.

Career Level - IC2