Entry Level Data Analyst

Company Overview

Matricstek Inc is a talent and technology-driven organization focused on aligning skilled professionals with the right opportunities through competency mapping and client-focused solutions. We support career growth through upskilling, hands-on project exposure, and end-to-end placement support across flexible engagement models.

www.matricstek.co

Position Summary

We are seeking a detail-oriented

Data Analyst

to support a client project by collecting, analyzing, and interpreting data to generate meaningful insights. The role involves working closely with stakeholders to support data-driven decision-making and improve business outcomes.

Key Responsibilities

• Collect, clean, and validate data from multiple sources to ensure accuracy
• Analyze datasets to identify trends, patterns, and actionable insights
• Develop and maintain reports and dashboards using Excel, Power BI, or Tableau
• Collaborate with stakeholders to understand data needs and deliver insights
• Ensure data integrity and maintain proper documentation of datasets and reports
• Assist in improving reporting processes and data workflows

Required Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, or related field
• Strong analytical and problem-solving skills
• Proficiency in Excel and SQL for data analysis
• Experience with data visualization tools (Power BI, Tableau, or similar)
• Basic understanding of statistics and data analysis techniques
• Good communication skills with attention to detail

Preferred Qualifications

• Knowledge of Python or R for data analysis
• Familiarity with databases and data handling concepts
• Understanding of basic data pipelines or ETL processes
• Certifications in data analytics are an advantage

Core Competencies

• Analytical thinking and problem-solving
• Attention to detail and data accuracy
• Effective communication and collaboration
• Time management and organization
• Adaptability and willingness to learn

What We Offer

• Opportunity to work on real client projects
• Exposure to real-world data and business scenarios
• Continuous learning and career growth support
• Collaborative and performance-driven work environment