Data Analyst

1 month ago

Mumbai, India mCaffeine Full time
About us/Company overview:

mCaffeine is India's 1st caffeinated personal care brand with an exciting range of Caffeinated products for young and aspiring millennials. We believe in Confidence over all skin & body biases. Redefining the age-old notions of beauty associated with colour, we never sell insecurities. We have vowed not to make fairness products. At mCaffeine beauty has no colour or gender. It's about you. You are a revolution, a culture, a routine, a high, and essentially now - a Lifestyle. You are Bold, Young and Confident.

Come, join the pack

Job Summary:

We are looking for a highly motivated Supply Chain Data Analyst. This role involves collecting, analyzing, and interpreting supply chain data to identify trends, patterns, and opportunities for improvement. The Supply Chain Data Analyst collaborates closely with cross-functional teams including supply chain management, operations, logistics, procurement, etc to drive data-informed decision-making and enhance overall supply chain performance.

Responsibilities:

- Data Collection: Gather, organize, and clean data from various sources including databases, spreadsheets, and external sources to ensure accuracy and completeness.

- Performance Monitoring: Develop key performance indicators (KPIs) and dashboards to monitor supply chain performance metrics such as inventory levels and utilisations, Fill rates, lead times, and supply chain costs. Track performance against targets and identify areas for optimization.

- Reporting and Visualization: Prepare and present clear, concise reports and visualizations to communicate findings, insights, and recommendations to stakeholders at various organizational levels. Develop interactive dashboards to enable self-service analytics and facilitate data-driven decision-making.

Qualifications:

- Bachelor's degree in Supply Chain Management, Logistics, Operations Research, Data Science, Computer Science, or a related field.- Proficiency in data manipulation and visualization tools (e.g., Tableau, Power BI) and data analysis tools (e.g., Excel, Python, SQL).- Knowledge of supply chain and logistics processes is a plus.- Attention to detail and a commitment to data accuracy and integrity.- Ability to work independently, manage multiple priorities, and meet deadlines in a fast-paced environment.

Social Media handles:

Website - - - us:

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