Data Analyst

Company: SkillzenLoop

Job Type: Full-Time

Location: Remote

Salary: ₹3.5 LPA (Based on skills & performance)

Experience: Fresher – 1 Year

About SkillzenLoop

SkillzenLoop is a talent and technology solutions company helping businesses become data-driven through actionable analytics and smart reporting systems. We work with multiple industries to improve performance, productivity, and customer experience using modern data insights.

Role Overview

We are looking for an ambitious Data Analyst who has a strong analytical mindset and curiosity to explore data. In this role, you will collect data, create visual analytics, and support strategic decision-making through meaningful insights.

Key Responsibilities

• Analyze large datasets to identify patterns, trends, and performance metrics.

• Build insightful dashboards and reports using Power BI / Excel / Tableau.

• Perform data cleaning, validation, and transformation to maintain accuracy.

• Work closely with stakeholders to understand business needs and translate them into data solutions.

• Support data automation, process improvement, and decision-making functions.

• Present data findings through clear visualizations and storytelling.

• Ensure data security, consistency, and documentation across all analytics tasks.

Required Skills & Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a closely related field.

• Proficiency in Excel and understanding of basic statistics.

• Working knowledge of SQL for data extraction and filtering.

• Knowledge of Python (Pandas, NumPy) is a plus.

• Strong attention to detail with problem-solving ability.

• Effective communication skills for both technical and business conversations.

Preferred Skills (Bonus)

• Experience with BI dashboards (Power BI, Tableau)

• Data storytelling & business presentation skills

• Knowledge of data quality and automation processes

What We Offer

• Annual package of ₹3.5 Lakhs

• Completely Remote working flexibility

• Continuous learning and mentorship from skilled data professionals

• Friendly and supportive work environment

• Growth path into Senior Analyst or Data Scientist roles