Location
Mumbai | India
Job description
Role Expectations
- Proven experience as a Data Analyst, preferably in Retail Industry.
- Excellent problem-solving and critical-thinking skills.
- Efficiently collect, clean, and preprocess datasets using Python, ensuring data quality and readiness for analysis
- Demonstrate advanced proficiency in Python, utilizing libraries such as Pandas and NumPy for effective data manipulation and analysis.
- Apply statistical methods and machine learning techniques to analyze data, extracting meaningful insights to inform decision-making.
- Create clear and compelling visualizations and reports using Matplotlib, Seaborn, or similar tools to communicate data findings to diverse stakeholders.
- Collaborate with cross-functional teams, translating complex analytical findings into actionable insights for both technical and non-technical audiences.
- Stay current with Python libraries and data analysis trends, demonstrating a commitment to ongoing learning and adapting to evolving business needs.
- Identify opportunities to streamline data analysis workflows through automation, improving efficiency and reducing manual efforts.
Role Deliverables - Provide well-prepared datasets with thorough cleaning and preprocessing, ensuring data quality for analysis.
- Maintain a well-documented and efficient Python codebase for data manipulation, analysis, and visualization, facilitating reproducibility.
- Create clear and insightful visualizations that effectively communicate key patterns, trends, and insights uncovered during data analysis.
- Generate comprehensive reports summarizing data findings, actionable insights, and recommendations for stakeholders.
- Actively participate in collaborative discussions, sharing data-driven insights with team members and contributing to informed decision-making processes.
Reporting To Educational Qualifications - Graduate or Master's from Science stream
Experience Required - 1 Year of Experience in Data analysis.
Skills: python,panda,numpy
Job tags
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