Role Overview
The Data Analyst is responsible for analyzing large datasets, generating insights, and supporting business decisions through reports, dashboards, and statistical analysis. The role involves working with databases, analytical tools, and business teams to transform raw data into actionable insights.
Key Responsibilities
Collect, clean, and analyze structured and semi-structured datasets.
Write complex SQL queries to extract and manipulate data from databases.
Perform data analysis using Python tools such as Pandas, NumPy, and visualization libraries.
Build reports, dashboards, and visualizations for stakeholders Using IBM SPSS.
Identify trends, patterns, and correlations in data to support business decisions.
Ensure data accuracy, consistency, and quality across different sources.
Work with cross-functional teams to understand business requirements.
Conduct ad-hoc analysis and ongoing reporting tasks Using IBM SPSS.
Required Skills
SQL for querying and data extraction
Python (Pandas, NumPy, Matplotlib / Seaborn)
Data analysis & statistical concepts (regression, hypothesis testing, probability)
Reporting & dashboards
Knowledge of ETL processes and data warehousing
Data visualization tools like Power BI or Tableau (preferred)
Education
Bachelors degree in:
Data Science
Statistics
Computer Science
Mathematics or related field.
Experience
Typically 04 years for entry level roles.
Some roles may require 3+ years experience in analytics.
Salary (India Approx.)
LPA LPA depending on experience
Experience
0 - 3 Years
No. of Openings
17
Education
Graduate (B.A, B.Com, B.Tech/B.E, CA, Professional Degree, Certificate/Diploma/Others)
Role
Data Analyst
Industry Type
IT-Hardware & Networking / IT-Software / Software Services
Gender
[ Male / Female ]
Job Country
India
Type of Job
Full Time
Work Location Type
Work from Office