Data Analyst

SharebotNewark, NJ
$65,000 - $70,000Remote

About The Position

We are seeking motivated and detail-oriented Data Analysts to join our growing team. This role is ideal for both entry-level candidates looking to launch their data careers and mid-level professionals ready to deepen their impact. You will work with cross-functional teams to turn data into actionable insights that drive business decisions.

Requirements

  • Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, or related field (or equivalent experience)
  • Basic knowledge of Excel, SQL, or data visualization tools (e.g., Tableau, Power BI)
  • Strong analytical thinking and problem-solving skills
  • Eagerness to learn and grow in a data-driven environment
  • 2+ years of experience in a data analyst or similar role
  • Proficiency in SQL and at least one programming language (Python or R preferred)
  • Experience with data visualization tools (Tableau, Power BI, or similar)
  • Strong ability to communicate insights to non-technical stakeholders
  • Experience working with large datasets and databases
  • Must reside in the United States
  • Ability to work independently and manage time effectively
  • Strong communication and collaboration skills

Nice To Haves

  • Experience with data warehousing or ETL processes
  • Familiarity with statistical analysis and predictive modeling
  • Knowledge of business intelligence tools and techniques
  • Attention to detail and strong organizational skills

Responsibilities

  • Collect, clean, and analyze large datasets to identify trends and insights
  • Develop and maintain dashboards, reports, and visualizations
  • Collaborate with business stakeholders to understand data needs
  • Translate complex data into clear, actionable recommendations
  • Perform ad-hoc analysis to support strategic initiatives
  • Ensure data accuracy, integrity, and consistency
  • Support data-driven decision-making across departments

Benefits

  • Flexible full-time and part-time opportunities
  • Competitive compensation based on experience
  • Opportunity for growth and career advancement
  • Collaborative and inclusive work environment
  • Exposure to real-world data challenges and projects
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