Operations Analytics Specialist

About the Role:

We are looking for an Operations Analytics Specialist to leverage data, analytics and advanced technology to improve operational efficiency, productivity and decision-making across our operations.

Key Responsibilities:

• Analyse large and complex operational datasets to identify trends, gaps, opportunities and root causes.
• Convert data into actionable insights and recommendations for business and operational decisions.
• Develop business models, analytical models and scalable data solutions.
• Build analytics solutions using Python, SQL, Spark/PySpark and Azure Databricks.
• Develop dashboards, analytical reports, performance views and decision-support tools.
• Establish and monitor key operational KPIs and identify performance gaps.
• Develop predictive and advanced analytics use cases for logistics and operations.
• Apply statistical modelling and machine learning techniques to improve decision-making.
• Partner with regional and Head Office teams to understand operational challenges and develop analytics-based solutions.
• Drive process improvement, digitization and automation initiatives.
• Explore new-age analytics and machine learning applications to enhance logistics operations.

What Were Looking For:

• 3–5 years of experience in Data Analytics, preferably in Supply Chain, Logistics, Transportation or Operations.
• Strong proficiency in Python, SQL, Spark/PySpark and Azure Databricks.
• Experience with large datasets, exploratory/diagnostic analysis and analytical modelling.
• Exposure to predictive analytics, statistical modelling, supply chain optimization or advanced analytics.
• Strong analytical and problem-solving skills.
• Ability to communicate complex data insights to diverse stakeholders.
• Strong collaboration, execution and innovation mindset.