Data Analyst
WeApplyJobs
United StatesFresher3h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year · Master's degree
- Must know
- Data visualizationSQLExcelPower BITableau
- Nice to have
- Data analysisStatisticsPythonPandas
- Work
- On-site in United States
- Pay
- Not stated by the employer.
- Skill demand
- SQL68%Data visualization66%Excel62%Power BI54%of 65 similar entry-level jobs posted in the US this week
- Listed
- Nov 4, 2026 · still open
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About the Role
As a Data Analyst, you will be responsible for collecting, processing, analyzing, and interpreting data to support business decisions. You will work closely with cross-functional teams to identify trends, generate meaningful insights, develop reports, and improve business performance through data-driven strategies.
Key Responsibilities
- Collect, clean, validate, and analyze data from multiple sources.
- Develop, maintain, and update reports, dashboards, and data visualizations.
- Assist senior analysts in identifying business trends, patterns, and anomalies.
- Monitor key performance indicators (KPIs) and provide actionable insights.
- Use SQL queries to extract, organize, and analyze datasets.
- Work with Excel, Power BI, or Tableau to present analytical findings.
- Collaborate with cross-functional teams to ensure data accuracy and consistency.
- Support data preparation for business presentations and strategic decision-making.
- Identify opportunities to improve data quality and reporting processes.
- Document analytical processes, findings, and recommendations.
Requirements & Tech Stack
- Proficiency in Microsoft Excel, including data manipulation and reporting.
- Basic to intermediate knowledge of SQL and database management.
- Familiarity with Power BI or Tableau.
- Ability to work with large datasets and identify meaningful insights.
- Willingness to learn new analytical tools and technologies.
Qualifications
- Master's degree in Data Science, Data Analytics, Statistics, Mathematics, Computer Science, or a related field.
- Strong analytical, logical reasoning, and problem-solving skills.
- Strong attention to detail and data accuracy.
- Good communication and presentation skills.
- Must be a U.S. Citizen or Green Card holder.
- Basic understanding of Python or R is an advantage.
- Knowledge of statistical analysis and data modeling is preferred.
- Familiarity with Python libraries such as Pandas, NumPy, and Matplotlib is preferred.
- Understanding of data cleaning, data transformation, and ETL processes is preferred.
- Exposure to cloud platforms and business intelligence tools is preferred.
- Experience with academic, internship, or personal data analytics projects is preferred.