Data Analyst and Engineer

Projects Overview

Date Posted: 08-Jul-2026
Job Type: Full Time
Job Exp: 1 Year
Salary: ₹100000 / MONTH
Location: delhi
Education Req: Bachelor's degree

Job description

Job Details

Position: Data Analyst
Job Type: Full-time
Pay: ₹1,00,000 - ₹2,50,000 per month
Location: Remote
Shift: Night shift
Start Date: 15/04/2025

About the Role

We are seeking a detail-oriented and analytical Data Analyst to join our team. You will be responsible for collecting, processing, and analyzing data to deliver actionable insights that drive business decisions. This role requires working closely with cross-functional teams to understand their data needs and translate them into meaningful reports and visualizations.

Key Responsibilities

✅ Data Collection & Preparation:

Gather data from various sources (databases, spreadsheets, and online platforms).
Clean, validate, and transform data to maintain accuracy and consistency.
Develop and maintain data documentation and data dictionaries.

✅ Data Analysis & Interpretation:

Perform statistical analysis to identify trends, patterns, and correlations.
Generate regular and ad-hoc reports to inform business decisions.
Conduct exploratory data analysis to discover hidden opportunities.

✅ Reporting & Visualization:

Create compelling visualizations using tools like Tableau, Power BI, and Google Data Studio.
Prepare and present clear, accurate reports to stakeholders.
Ensure all visualizations are easy to interpret and aligned with business needs.

✅ Collaboration & Communication:

Work with cross-functional teams to meet their data analysis needs.
Communicate insights to technical and non-technical audiences effectively.
Participate in meetings to present findings and support decision-making.

✅ Data Quality & Maintenance:

Monitor data quality and identify areas for improvement.
Implement data quality controls and maintain data repositories.

Qualifications & Skills

???? Education:

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

???? Technical Skills:

Proficiency in SQL for data extraction and manipulation.
Experience with data analysis tools: Python (Pandas, NumPy, Scikit-learn) or R.
Expertise in data visualization tools: Tableau, Power BI, Google Data Studio.
Solid understanding of statistical concepts and methods.
Strong proficiency with Microsoft Excel and Google Sheets.