Data Analyst Executive (R&D - System & Optimization)

Key Responsibilities:

• Implement and maintain in-house tools and systems based on defined business requirements

• Write, optimize, and maintain SQL queries and Python/pandas scripts to support system logic, data processing and automation

• Apply inventory planning logic and best practices within system implementations to support efficient operations

• Troubleshoot, debug and refine existing tools based on feedback from stakeholders across the department

• Support data analysis tasks as needed, collaborating closely with cross-functional teams to ensure tools and outputs meet business needs

• Take initiative in identifying opportunities to improve existing processes, tools, and workflows

Requirements:

• Strong proficiency in Python and SQL, with practical experience applying these skills to real-world projects

• Advanced Excel skills, with the ability to build and maintain analyses and reports

• Strong analytical and problem-solving skills, with meticulous attention to detail

• A proactive mindset and willingness to pick up new tools, technologies, and responsibilities as business needs evolve

• Good applied math/quantitative skills, with the ability to reason through business problems is an advantage

• Understanding of inventory planning concepts is an advantage

• Prior experience in data analytics or working with large datasets is an advantage

• Familiarity with PyQt or similar frameworks for building internal applications is an advantage

• Experience with BI/reporting tools such as PowerBI, Looker Studio, or similar is an advantage