Data Analyst Job at Magnus Technologies Solutions Inc, New York, NY

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  • Magnus Technologies Solutions Inc
  • New York, NY

Job Description

?? Job Summary: We are looking for a detail-oriented and curious Entry-Level Data Analyst to join our analytics team. You will help gather, process, analyze, and visualize data to support decision-making across departments. This is a great opportunity for someone looking to build a career in data and analytics. ??? Key Responsibilities: Collect, clean, and prepare data from multiple sources for analysis. Analyze large datasets to identify trends, patterns, and insights. Create clear and concise reports, dashboards, and visualizations using tools like Excel, Power BI, or Tableau. Support teams with ad-hoc data requests and routine reporting. Use SQL to query relational databases and extract relevant information. Assist in improving data processes and automation using tools like Python, R, or Excel macros. Communicate findings to non-technical stakeholders in a clear and actionable way. ?? Basic Qualifications: Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related field. Strong analytical skills and attention to detail. Basic knowledge of data analysis tools such as Excel, SQL, or Python. Ability to work with large datasets and summarize results clearly. Good written and verbal communication skills. Eagerness to learn new tools and technologies in data. ? Nice to Have: Experience with data visualization tools like Tableau, Power BI, or Looker. Exposure to Python libraries like pandas, numpy, or matplotlib. Understanding of data cleaning, transformation, and validation techniques. Familiarity with databases (e.g., MySQL, PostgreSQL, Snowflake, BigQuery). Internships, academic projects, or certifications in data analysis (Google Data Analytics, IBM, etc.). ?? What We Offer: Hands-on experience in real-world analytics projects. Training, mentorship, and growth opportunities. Access to data platforms and industry tools. Collaborative team environment with flexible work options. Career development in analytics, data science, or business intelligence.

Job Tags

Full time, Part time, Flexible hours,

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