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Data Analyst

Job ID : 38218

Job Title : Data Analyst

Location : Jersey City, NJ

Comapny Name : Aeronace

Job Type : Full-Time

Industry : Information Technology

Salary :  $75000 - $90000  per year

Work Authorization : ["OPT","Green Card Holder","All EAD","US Citizen"]

No. of Positions : 10+

Posted on : 12-11-2024

Required Skills : Sql Data Base Administrator,Tableau, Power BI,Python,ETL,JavaScript, Azure, AWS, Spark, Hadoop,PostgreSQL, MySQL

Benefits : None of These

Job Description :

About the job

Overview:

We are seeking a skilled and detail-oriented Data Analyst to join our team. The ideal candidate will be responsible for interpreting data, analyzing results, and providing insights that drive decision-making. If you are passionate about data, enjoy solving complex problems, and have a knack for turning raw numbers into actionable insights, we would love to hear from you.

Key Responsibilities:

  • Collect, clean, and organize data from various sources to ensure data accuracy and reliability.
  • Analyze datasets to identify trends, patterns, and actionable insights.
  • Create and maintain dashboards, reports, and visualizations to present findings effectively.
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
  • Develop and implement data models, analytics processes, and best practices to optimize workflows.
  • Conduct ad-hoc analysis as needed to support business initiatives.
  • Ensure data confidentiality and comply with data protection regulations.

Qualifications.

  • 2+ years of professional experience as a Data Analyst or in a similar role.
  • Proficiency in data analysis tools such as SQL, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or Excel.
  • Strong knowledge of statistical methods and data modeling.
  • Familiarity with database management systems and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Excellent problem-solving and critical-thinking abilities.
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. Master’s degree is a plus.

Company Details :

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