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
