Entry Level Data Analyst

Matricstek Inc.; Florida; On-site; USD 45,000 - 65,000; Full time

Job summary

Matricstek Inc. is seeking an Entry-Level Data Analyst to support data-driven decision making. The role emphasizes basic data analysis, SQL, Excel, and data visualization, ideal for fresh graduates building hands-on experience with real-world datasets.

You will collect and clean data, generate reports, and create dashboards in Power BI or Tableau while collaborating with cross-functional teams to understand business requirements. This is a great learning opportunity for career starters.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field.
• Basic knowledge of SQL and relational databases.
• Good working knowledge of Microsoft Excel, including formulas, sorting, filtering, and pivot tables.
• Basic understanding of data visualization tools such as Power BI or Tableau.
• Familiarity with Python and libraries such as Pandas and NumPy is an advantage.
• Strong analytical, problem-solving, and logical-thinking abilities.
• Good communication skills and attention to detail.
• Willingness to learn new technologies and work with large datasets.

Responsibilities

• Collect, clean, validate, and organize data from multiple sources.
• Analyze datasets to identify trends, patterns, and meaningful business insights.
• Write basic SQL queries to retrieve, filter, and manipulate data.
• Use Microsoft Excel to perform data analysis, create reports, and manage datasets.
• Create dashboards and visual reports using Power BI or Tableau.
• Assist in preparing daily, weekly, and monthly reports for business teams.
• Identify data inconsistencies and support data quality improvement initiatives.
• Collaborate with cross-functional teams to understand business requirements.
• Document analysis processes, findings, and reporting procedures.

Skills

SQL basics

Excel

Data viz tools

Python basics

Analytical thinking

Communication skills

Detail-oriented

Learning mindset

Education

Bachelor's degree in related field

Tools

Power BI

Tableau

Python (Pandas/NumPy)

Job description

We are looking for a detail-oriented and analytical Entry-Level Data Analyst to join our team. The ideal candidate should have a basic understanding of data analysis, SQL, Excel, and data visualization tools. This is an excellent opportunity for fresh graduates to develop their analytical skills and gain hands-on experience working with real-world datasets and business problems.

Key Responsibilities

• Collect, clean, validate, and organize data from multiple sources.
• Analyze datasets to identify trends, patterns, and meaningful business insights.
• Write basic SQL queries to retrieve, filter, and manipulate data.
• Use Microsoft Excel to perform data analysis, create reports, and manage datasets.
• Create dashboards and visual reports using Power BI or Tableau.
• Assist in preparing daily, weekly, and monthly reports for business teams.
• Identify data inconsistencies and support data quality improvement initiatives.
• Collaborate with cross-functional teams to understand business requirements.
• Document analysis processes, findings, and reporting procedures.

Required Skills

• Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field.
• Basic knowledge of SQL and relational databases.
• Good working knowledge of Microsoft Excel, including formulas, sorting, filtering, and pivot tables.
• Basic understanding of data visualization tools such as Power BI or Tableau.
• Familiarity with Python and libraries such as Pandas and NumPy is an advantage.
• Strong analytical, problem-solving, and logical-thinking abilities.
• Good communication skills and attention to detail.
• Willingness to learn new technologies and work with large datasets.

Preferred Qualifications

• Academic projects or internships involving data analysis.
• Basic understanding of data cleaning, data transformation, and statistical concepts.
• Familiarity with reporting, dashboards, and key performance indicators (KPIs).