Jobs

Data Analyst

|  Posted On: Mar 24, 2026

location:Sayreville, NJ 08871

Duration:Contract

mode of work:On-site

Job Summary

Job Title:  
Data Analyst
Posted Date:  
Mar 24, 2026
Duration:  
Contract
Shift(s):  

08:00 - 16:00

Description

We are seeking a detail-oriented Data Analyst to collect, process, and analyze data to help drive informed business decisions. The ideal candidate will transform raw data into meaningful insights, identify trends, and support strategic initiatives.


Key Responsibilities

  • Collect, clean, and validate data from multiple sources
  • Analyze datasets to identify trends, patterns, and insights
  • Develop reports, dashboards, and visualizations using tools like Power BI, Tableau, or Excel
  • Collaborate with stakeholders to understand business needs and provide data-driven recommendations
  • Perform statistical analysis and interpret results
  • Maintain databases and ensure data integrity and accuracy
  • Automate data collection and reporting processes where possible
  • Present findings to non-technical stakeholders in a clear and actionable way

Required Skills & Qualifications

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Proficiency in SQL for data querying
  • 2 years of experience as a Data Analyst or similar role
  • Experience with data visualization tools (Tableau, Power BI, etc.)
  • Strong analytical and problem-solving skills
  • Knowledge of Excel (advanced functions, pivot tables)
  • Familiarity with programming languages such as Python or R
  • Understanding of statistical techniques and data modeling
  • Strong communication and presentation skills

Preferred Qualifications

  • Experience with big data tools (e.g., Hadoop, Spark)
  • Knowledge of machine learning basics
  • Experience working in healthcare industry
  • Certification in data analytics

Key Competencies

  • Attention to detail
  • Critical thinking
  • Business acumen
  • Time management
  • Team collaboration

Typical Tools & Technologies

  • SQL, Python, R
  • Excel, Google Sheets
  • Tableau, Power BI
  • Databases (MySQL, PostgreSQL, SQL Server)
  • Data warehouses (Snowflake, BigQuery, Redshift)

AI-Assisted Application Screening

As part of our recruitment process, we may use automated tools or AI-enabled technologies to assist with resume screening and candidate matching. These tools help our recruitment team review applications more efficiently, but they do not make hiring decisions. All final decisions are made by human reviewers.

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