Company Description NYCSE is a United States–based company headquartered at 6 S Dean St in Englewood, New Jersey. The organization operates in a dynamic environment that offers exposure to real-world data and business challenges. Team members collaborate remotely while supporting projects that require accurate analysis and clear reporting. NYCSE values detail-oriented work, learning, and professional growth, making it a suitable environment for students interested in data-focused careers.
Role Description The Remote Data Analyst (Student Position) is a part-time role focused on supporting data-driven decision-making at NYCSE. In this remote position, the individual will collect, clean, and organize data from various sources, perform basic statistical and analytical tasks, and assist in building or refining data models. The role includes generating clear reports and visual summaries, documenting methods and findings, and communicating results to team members in an understandable way.
The student analyst will collaborate with supervisors and project leads, follow established workflows, and proactively seek clarification to ensure accurate and reliable analysis.
Qualifications
Candidates should possess strong Analytical Skills and foundational Data Analytics capabilities.
Candidates should possess basic knowledge of Statistics and the ability to apply statistical concepts to real data.
Candidates should possess skills in Data Modeling, including understanding of data structures and relationships.
Candidates should possess clear Communication skills for explaining findings to both technical and non-technical audiences.
Relevant coursework in mathematics, statistics, computer science, business, or a related field is beneficial.
Familiarity with spreadsheets or data tools (e.g., Excel, Google Sheets, or introductory analytics software) is advantageous.
Ability to work independently in a remote setting, manage time effectively, and meet part-time workload expectations.
Commitment to accuracy, attention to detail, and willingness to learn new analytical methods and tools.