Executive - Regional Data Analytics - Express Logistics

India·DelhiOn-sitemid

AnalyticsData & AI

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AnalyticsData & AI

Position

Executive - Regional Data Analytics

Department

Operations

Location

Mumbai

Job Band

Reporting To

DGM – Regional Operations Manager

~3 min read

Key responsibilities

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

QUALIFICATIONS & COMPETENCIES

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