Executive - Regional Data Analytics - Express Logistics

The Peninsular and Oriental Steam Navigation Company; Delhi; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

The Peninsular and Oriental Steam Navigation Company is seeking an Executive - Regional Data Analytics in Mumbai to lead data-driven initiatives across Operations. You will evaluate processes, perform financial data analysis, and drive cost efficiencies with cross-functional teams.

With 10+ years in data analytics and MBA preferred, you will develop dashboards, data models, and insights that shape regional strategies and performance benchmarks.

Qualifications

• MBA preferred with strong business acumen and leadership potential.
• Minimum 2–3 years of experience in Business Analytics.
• Demonstrated ability to communicate across internal and external stakeholders.
• Experience with data management tools and project management skills.
• Desire to drive continuous improvement in services, products and processes.
• Ability to influence across organizational boundaries.

Responsibilities

• Evaluate business processes and requirements, implement solutions.
• Perform financial data analysis and P&L analysis for strategy improvement.
• Develop, monitor and optimize dashboards for management visibility.
• Retrieve and analyze data using data management systems.
• Collaborate with cross-functional teams to drive process improvements.
• Lead regional data initiatives and mentor analysts.
• Build robust data models and visualizations to support decisions.

Skills

Business analytics

Data analysis

Leadership

Communication

Data modeling

SQL

Python

R

Education

MBA preferred

Bachelor's degree in a relevant field

Tools

Data visualization

Excel

BI tools

Job description

FILING INFORMATION

Position

Executive - Regional Data Analytics

Department

Operations

Location

Mumbai

Job Band

2

Reporting To

DGM - Regional Operations Manager

ROLES & RESPONSIBILITIES

• Evaluating business processes, anticipating requirements, uncovering areas for improvement, developing, and implementing solutions.
• Financial business data analysis, P&L account analysis and other financial strategy improvement implementation.
• Sitting in on ongoing reviews of business processes and developing optimization strategies.
• Retrieving and analyzing data using data management systems.
• Implement and Monitor metrics, analyzing data and partnering with internal teams to identify process and system improvement opportunities.
• Supporting Operations Head in driving critical initiatives at a central level.
• Tracking of critical initiatives at a central level
• Preparing of monthly / fortnightly / weekly dashboards for management visibility and review
• Supporting cross-functional teams on the day-to-day execution of the existent program implementation.
• Driving small to medium operational enhancement projects.
• Help foster trusting relationships with vendors and team members
• Research and implement cost reduction opportunities.
• Excellent problem-solving, task prioritization, follow-up, and customer service skills.
• Analyze competition actions to spot market trends and formulate or alter sales direction strategy.

QUALIFICATIONS & COMPETENCIES

• MBA preferred
• Minimum of 2-3 years of experience in Business Analytics
• Good communication skills backed by strong listening skills to develop and maintain good working relationships with internal and external stakeholders.
• Demonstration of strong planning skills essential and good project management skills.
• Experience of using various data management and analysis tools.
• Strong desire to improve our service, products, and processes, with ability to drive continuous improvement.
• Ability to work across the business to implement and execute change.
• Ability to impact organization results through influence across organizational boundaries.
• Strong networker, influencer, and team player.

• Lead and manage a team of data analysts, fostering a culture of data-driven decision-making and continuous improvement.
• Develop and implement a regional data strategy, aligning with the organization's overall goals and objectives.
• Collaborate with regional teams to identify key performance indicators (KPIs) and metrics, ensuring alignment with business goals.
• Analyze and interpret complex data sets to identify trends, patterns, and opportunities for process optimization.
• Develop and maintain robust data models and visualizations to support decision-making and strategic planning.
• Identify and implement advanced analytics techniques, such as predictive modeling and machine learning, to enhance decision-making capabilities.
• Partner with business stakeholders to understand their data needs and provide actionable insights to drive growth and efficiency.
• Ensure data quality and integrity by establishing robust data governance practices and processes.
• Stay updated with industry trends and best practices in data analytics, and drive innovation within the organization.
• Mentor and develop team members, fostering a culture of learning and continuous improvement.

• Minimum 10 years of experience in data analytics, with a proven track record of leading and managing data-driven initiatives.
• Strong analytical skills and expertise in data modeling, data visualization, and advanced analytics techniques.
• Excellent leadership and communication skills, with the ability to influence and collaborate across diverse teams.
• Experience in developing and implementing data strategies, and a deep understanding of data-driven decision-making processes.
• Proficiency in using data analysis tools and technologies such as SQL, Python, R, and data visualization software.
• A strategic mindset and the ability to translate complex data insights into actionable recommendations.
• Strong business acumen and the ability to align data initiatives with organizational goals and objectives.
• Experience in the logistics or supply chain industry is preferred but not mandatory.
• A bachelor's degree in a relevant field, such as data analytics, statistics, or computer science, is required.
• Additional certifications or qualifications in data analytics or related fields are highly desirable.