Posted:4 days ago|
Platform:
On-site
Full Time
CTC: upto 16 Lacs
Collaborate with business and functional heads to identify and prioritize operational needs.
Handle large structured and unstructured datasets for analysis.
Apply statistical techniques to identify patterns, trends, and anomalies in data.
Explore machine learning applications for solving logistics challenges in India.
Provide insights to improve supply chain and operational performance.
Key Responsibilities Include:
Data Analysis & Insights: Analyze large and complex datasets to identify actionable insights that enhance efficiency and cost savings.
Business Modelling & Process Digitization: Develop business models, support process automation, publish KPIs, and resolve discrepancies with regional/HO teams.
Process Improvement & Optimization: Utilize Databricks, Python, and SQL to create scalable data solutions and streamline processes.
Dashboards & Reporting: Develop and maintain interactive dashboards/reports in Power BI to support decision-making.
KPI Development & Tracking: Establish mechanisms to monitor KPIs for continuous improvement.
Collaborative Problem-Solving: Work with regional teams to address operational challenges through analytics-driven solutions.
• 4–8 years in data analytics
• Supply chain/logistics exposure (huge plus)
• Hands-on analytics — not just theory
Prior exposure to supply chain optimization and predictive analytics is desirable
Technical Skills
Proficiency in Python, SQL, Azure Synapse Analytics, and Azure Databricks, Spark
Strong expertise in Power BI and data visualization.
Proven ability to work with large datasets and derive business insights.
• Python
• SQL
• Azure Databricks / Spark
• Power BI
• Experience handling large datasets
• Analytical and detail-obsessed
• Confident communicator — can simplify complexity
• Fast executor, loves automation
• Team collaborator
• Hungry to experiment and innovate
• Work with India’s most trusted logistics brand
• Employer of Choice
• Big-impact role shaping India’s supply chain future
• Competitive compensation + rewards
• Structured learning + global mobility opportunities
• A culture that values innovation, people, and purpose
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mumbai metropolitan region
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mumbai metropolitan region
Salary: Not disclosed