Operations Analytics Specialist

Blue Dart; Mumbai; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Blue Dart is seeking an Operations Analytics Specialist in Mumbai to leverage data and advanced analytics to improve logistics efficiency and decision-making. You will analyze large datasets, build models, and develop dashboards and KPIs to support regional and head office initiatives.

The ideal candidate has 3–5 years in data analytics within supply chain or logistics, strong Python/SQL/Spark skills, and proven ability to translate insights for diverse stakeholders.

Qualifications

• 3–5 years of experience in Data Analytics, preferably in Supply Chain, Logistics or Operations.
• Strong proficiency in Python, SQL, Spark/PySpark and Azure Databricks.
• Experience with large datasets, exploratory/diagnostic analysis and analytical modelling.

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 and analytical models and scalable data solutions.
• 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.

Skills

Data analytics

Analytical thinking

Communication

Collaboration

Problem solving

Machine learning

Tools

Python

SQL

Spark/PySpark

Azure Databricks

Job description

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.