FedEx is hiring for an FRESHER entry level Data Analyst role in India

Position:

• Data Analyst

Company:

• Federal Express Corporation AMEA

Location:

• Pancard Club Road, Baner, Pune, Maharashtra 411045, India

• Mumbai, Maharashtra 400072, India

Job type:

• Full Time

Job mode:

• Onsite

Job requisition id:

• RC769033

Years of experience:

• 0 to 3 years

Company description:

• Federal Express Corporation AMEA operates as part of the global network of FedEx, one of the largest express transportation and logistics enterprises in the world.

• The organization provides transportation, e commerce, and business solutions across more than 220 countries and territories, enabling individuals and enterprises to move goods and information with speed and reliability.

• Recognized multiple times by Fortune magazine as one of the World’s Most Admired Companies, the company has built a reputation for operational excellence, customer trust, and consistent performance.

• Its operations span air and ground logistics, freight services, supply chain management, and digital shipping solutions.

• The organization follows the People Service Profit philosophy, a framework that emphasizes employee well being as the foundation for service quality and long term profitability.

• The company invests in its workforce through structured learning programs, skill enhancement initiatives, and leadership development tracks.

• Diversity, equity, and inclusion are central to its employment practices, ensuring equal opportunities regardless of personal background or protected characteristics.

• Ethical conduct, accountability, and transparency guide corporate governance and day to day operations.

• The firm continues to expand its digital and analytical capabilities to strengthen decision making and customer experience.

• By combining advanced technology with a strong service mindset, the company sustains its leadership in global logistics and transportation.

Profile overview:

• The Data Analyst role focuses on designing, developing, and implementing analytical processes that support business decision making across diverse operational functions.

• The professional will work with structured and unstructured data drawn from multiple internal and external sources, transforming raw information into meaningful insights.

• Responsibilities include data mining, statistical evaluation, quantitative modeling, and interpretation of trends to support leadership decisions.

• The role requires examining business performance indicators, identifying patterns, and generating insights that guide strategy and operational improvements.

• The candidate will contribute to both independent analytical assignments and collaborative projects aligned with divisional objectives.

• Acting as a subject matter contributor in specific analytical areas, the analyst will support management with accurate interpretation of complex datasets.

• The position involves applying emerging technologies and modern data tools to extract actionable intelligence from large datasets.

• The professional will communicate findings clearly through structured presentations, reports, and dashboards.

• Attention to accuracy, strong organizational capability, and disciplined planning are critical for success in this position.

• The analyst will continuously learn and refine statistical and analytical methods to strengthen evidence based decision making within the organization.

• Collaboration with cross functional teams will be necessary to align analytical outputs with business needs.

• The role supports both project execution and strategic analysis to contribute to corporate and divisional goals.

Qualifications:

• A bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, Business Analytics, or a related discipline.

• Foundational knowledge of statistical analysis, quantitative reasoning, and data interpretation techniques.

• Familiarity with data mining concepts and the ability to work with both structured databases and unstructured datasets such as text based information.

• Exposure to analytical tools and technologies used for extracting insights from large volumes of information.

• Ability to translate business questions into measurable analytical frameworks.

• Strong accuracy and attention to detail when handling complex datasets.

• Effective planning and organizing capability to manage multiple assignments within deadlines.

• Presentation skills to communicate technical insights to both technical and non technical stakeholders.

• Influencing and persuasion capability to support data driven recommendations.

• Basic understanding of trend evaluation and forecasting concepts.

• Ability to document methodologies, assumptions, and analytical processes clearly.

• Willingness to adapt to new technologies and analytical methods as business requirements evolve.

• Strong written and verbal communication skills.

• Collaborative mindset with the ability to contribute within cross functional teams.

• Ethical handling of data and compliance with organizational data governance standards.

Additional info:

• The role is scheduled for 48 working hours per week under a temporary worker subtype classification.

• The position is fully onsite and requires presence at the specified India locations.

• Applications must be submitted before 12 am on the official posting close date.

• The organization maintains an equal opportunity employment policy and evaluates candidates without discrimination.

• Employees are encouraged to contribute innovative ideas that enhance operational efficiency and service delivery.

• The corporate culture emphasizes accountability, respect, inclusion, and professional growth.

• Continuous improvement and performance excellence are embedded within day to day activities.

• Team members are supported through structured development programs and performance feedback systems.

• The People Service Profit philosophy guides corporate decisions, ensuring reinvestment into workforce growth and service quality.

• Employees are expected to maintain high standards of professionalism and integrity in handling sensitive information.

• The company fosters a collaborative work environment where analytical contributions directly influence strategic initiatives.

• Exposure to global operational standards and international best practices enhances learning opportunities for early career professionals.

• The role provides hands on exposure to business analytics within a large scale logistics enterprise operating across multiple geographies.

• Candidates should be prepared to work in a structured corporate setting that values consistency, discipline, and measurable impact.

Please click here to apply.