Data Analyst

Delhivery; Gurgaon; On-site; INR 6,00,000 - 10,00,000; Full time

Job summary

An established industry player is seeking a data analyst to leverage SQL and Python for insightful data analysis and reporting. In this role, you will be responsible for extracting and manipulating large datasets, conducting statistical analysis, and creating interactive dashboards to support business objectives. Collaborating with stakeholders, you will ensure data accuracy and integrity while developing automated reporting processes. This is an exciting opportunity to make a significant impact in a dynamic environment where your analytical skills will drive business success.

Qualifications

• Proficient in SQL for querying and manipulating large datasets.
• Skilled in Python for data analysis and automation tasks.

Responsibilities

• Utilize SQL for data extraction and reporting.
• Create dashboards using Tableau or Power BI.
• Design and implement ETL processes for data accuracy.

Skills

SQL

Python

Data Analysis

Data Cleaning

ETL Processes

Statistical Analysis

Tools

Tableau

Power BI

Pandas

NumPy

Matplotlib

Job description

Role & Responsibilities:

• UtilizeSQLto query, extract, and manipulate large datasets from relational databases to generate insightful reports and analyses.
• UsePythonfor data analysis, data cleaning, and automation tasks, including libraries like Pandas, NumPy, and Matplotlib.
• Create and maintain interactive dashboards and visualizations using tools likeTableau,Power BI, or similar.
• Conduct statistical analysis to identify trends, patterns, and insights in large datasets.
• Work with business stakeholders to understand data requirements and deliver insights that align with business goals.
• Design and implement ETL processes to streamline data flow and ensure data accuracy and integrity.
• Collaborate with data engineers and other analysts to ensure efficient data pipeline architecture.
• Develop and automate regular reporting processes and ad-hoc analysis to support business needs.
• Monitor data quality and integrity, troubleshoot data issues, and perform data validation.