About the role

Main responsibilities 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 organization. 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.

What you'll be working on

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.

What we are looking for

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 stakeholder

Good-to-Have Skills:

• PowerBI: Experience with PowerBI 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.

Join Our Team: If you are passionate about leveraging NLP, ML algorithms, and feature engineering to drive business impact and enhance customer experience, we invite you to join our team at FedEx. Apply now to be part of a dynamic, innovative environment where your skills and expertise will make a difference.

What you'll bring to the team Collaboration, quality work, commercial acumen, leading on projects with minimum guidance, willingness to learn and grow. Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills What you can expect to get Attractive remuneration package includes: ▪ Attractive remuneration package includes: ▪ Salary as per agreed compensation structure ▪ Tuition Assistance ▪ Great Working Environment