Data Analyst

Data Analyst

Posted 2 days ago by Tekcel8

Negotiable
Undetermined
Hybrid
Remote or Hybrid in New York, New York

Summary: The Data Analyst role involves analyzing data to provide insights and support decision-making processes. The position requires strong analytical skills and proficiency in data manipulation tools. The candidate will work with large datasets and utilize data visualization tools to present findings effectively. This role can be performed remotely or in a hybrid setting in New York.

Key Responsibilities:

  • Analyze data to provide insights and support decision-making processes.
  • Utilize Microsoft Excel for data manipulation and analysis.
  • Work with SQL for data querying and management.
  • Create visualizations using tools like Power BI or Tableau.
  • Document findings and communicate results effectively.
  • Ensure attention to detail while working with large datasets.

Key Skills:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business, or a related field.
  • Strong proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, formulas).
  • Basic to intermediate knowledge of SQL.
  • Familiarity with data visualization tools such as Power BI, Tableau, or similar.
  • Strong analytical and problem-solving skills.
  • Good communication and documentation skills.
  • Attention to detail and ability to work with large datasets.

Salary (Rate): £37,500 yearly

City: New York

Country: United States

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

  • Bachelor s degree in Data Science, Statistics, Mathematics, Computer Science, Business, or a related field

  • Strong proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, formulas)

  • Basic to intermediate knowledge of SQL

  • Familiarity with data visualization tools such as Power BI, Tableau, or similar

  • Strong analytical and problem-solving skills

  • Good communication and documentation skills

  • Attention to detail and ability to work with large datasets