Executive - Regional Data Analytics - Express Logistics

Executive - Regional Data Analytics - Express Logistics

FILING INFORMATION

Position

Executive - Regional Data Analytics

Department

Operations

Location

Mumbai

Job Band

2

Reporting To

DGM – Regional Operations Manager

ROLES & RESPONSIBILITIES

Key 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.

Experience Level

Executive Level