Consultant | Python | Delhi | Artificial Intelligence

1 week ago

Delhi, Delhi, India Deloitte Full time ₹ 1,20,000 - ₹ 1,80,000 per year

Job requisition ID :: 86945

Date: Oct 10, 2025

Location: Delhi

Designation: Consultant

Entity: Deloitte Touche Tohmatsu India LLP

Job Title: Data Analyst Location: Gurgaon / Bengaluru Department: Customer Experience Analytics Employment Type: Full-time

Job Summary: As a Data Analyst, you will play a key role in gathering, processing, and analyzing data to drive informed decision-making and actionable insights for FedEx. Your quantitative expertise and business acumen will help develop analytical solutions to improve operations, customer experience, and business outcomes. This role involves working closely with cross-functional teams to develop meaningful visualizations and communicate findings that guide strategy and operational decisions.

Key Responsibilities:

Collect, analyze, and interpret complex data sets using Python and SQL to support business objectives.

Collaborate with stakeholders to understand business needs, formulate analytic solutions, and provide actionable insights.

Develop and maintain data models and reports to track key performance indicators (KPIs) and business metrics.

Create meaningful data visualizations to communicate findings, trends, and actionable insights to non-technical stakeholders.

Conduct exploratory data analysis and identify patterns, trends, and opportunities for business improvement.

Support data quality initiatives, ensuring accuracy and consistency across data sources.

Utilize statistical and quantitative techniques to support problem-solving and business optimization efforts.

Mandatory Skills:

Python: Proficiency in data manipulation, data analysis libraries (Pandas, NumPy), and data visualization libraries (Matplotlib, Seaborn).

SQL: Strong command of SQL for data extraction, transformation, and complex queries.

Business Acumen: Ability to understand business context and objectives, aligning analytics with organizational goals.

Quantitative Aptitude: Strong analytical and problem-solving skills, with a keen attention to detail.

Data Visualization: Basic skills in data visualization to effectively communicate insights.

Statistical Analysis: Foundational understanding of statistical methods (e.g., regression, hypothesis testing).

Communication Skills: Ability to distill complex data insights into clear, actionable recommendations for stakeholders.

Good-to-Have Skills:

Power BI: Experience with Power BI for data visualization and report development.

Machine Learning Fundamentals: Basic knowledge of machine learning concepts for deeper pattern analysis.

Advanced Excel: Skills in advanced Excel functions, pivot tables, and data cleaning for quick analyses.

Qualifications:

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. Master's degree is a plus.

2-4 years of experience in data analysis, preferably within the logistics, supply chain, or transportation industry.

Excellent communication and interpersonal skills, with the ability to explain complex data insights to stakeholders.

Strong organizational skills and a collaborative mindset.

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