Data Analyst – Full-Time, Entry-Level with Mentorship

Genesis Recruiting; Passaic (NJ); On-site; USD 28,000 - 40,000; Full time

Benefits offered by this job

Full-time

Career growth

Mentorship

Launch analytics career

Job summary

Genesis Recruiting is seeking an analytical, detail-oriented recent graduate to join our growing team in New Jersey. The role focuses on data analysis, Excel-driven insights, and supporting business decisions through reliable reporting and meticulous record-keeping.

The ideal candidate will have a strong foundation in Excel and QuickBooks, excellent communication, and a fast-learning mindset to grow with the company and contribute to data-driven operations.

Qualifications

• Bachelor’s degree preferred
• Strong Microsoft Excel and QuickBooks skills
• Excellent analytical and problem-solving abilities
• Highly organized with exceptional attention to detail
• Strong work ethic and ability to learn quickly
• Excellent communication skills

Responsibilities

• Analyze and organize large Excel spreadsheets.
• Invoicing and reports through QuickBooks.
• Identify trends, errors, and opportunities within data.
• Use advanced Excel functions, including PivotTables, XLOOKUP/VLOOKUP, formulas, and data analysis tools.
• Ensure data accuracy and maintain organized records.
• Work closely with management to support business decisions through data analysis.
• Perform ad hoc reporting and special projects as needed.

Skills

Analytical thinking

Attention to detail

Communication skills

Fast learner

Education

Bachelor’s degree preferred

Tools

Excel

QuickBooks

Job description

Genesis Recruiting is seeking an analytical, detail-oriented recent graduate to join our growing team in New Jersey. The role focuses on data analysis, Excel-driven insights, and supporting business decisions through reliable reporting and meticulous record-keeping.

The ideal candidate will have a strong foundation in Excel and QuickBooks, excellent communication, and a fast-learning mindset to grow with the company and contribute to data-driven operations.