Business Data Analyst
Matricstek Inc.
California, United StatesFresher27m agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- Data analysisData visualizationBusiness analysisExcelSQL
- Nice to have
- Power BITableauStatisticsPython
- Work
- On-site in California
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis86%Data visualization71%Excel59%Business analysis48%of 63 similar entry-level jobs posted in the US this week
- Listed
- Nov 6, 2026 · still open
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About the Role
We are looking for a detail-oriented and analytical Entry-Level Business Data Analyst to join our team. This role is suitable for fresh graduates eager to develop their skills in business analysis, data visualization, and reporting.
Key Responsibilities
- Collect, clean, validate, and organize data from multiple business sources.
- Analyze datasets to identify trends, patterns, business opportunities, and performance gaps.
- Create reports, dashboards, and visualizations using Excel, Power BI, or Tableau.
- Write basic SQL queries to retrieve, filter, and analyze data from databases.
- Work with business teams to understand requirements and translate them into actionable insights.
- Monitor key performance indicators (KPIs) and prepare regular business performance reports.
Requirements & Tech Stack
- Basic knowledge of Microsoft Excel, including formulas, PivotTables, and data cleaning.
- Fundamental understanding of SQL and relational databases.
- Familiarity with Power BI or Tableau is preferred.
- Strong analytical, problem-solving, and logical reasoning skills.
- Good communication, documentation, and presentation skills.
- Willingness to learn new tools, technologies, and business processes.
Qualifications
- Bachelor's degree in Business Analytics, Data Analytics, Computer Science, Information Technology, Statistics, Finance, or a related field.
- Academic projects or internship experience involving data analysis or business reporting.
- Basic understanding of business metrics, KPIs, and data visualization.
- Familiarity with Python or statistical analysis is an added advantage.