Job Description

Company Description Infise Tech is a modern staffing and recruitment company focused on connecting businesses with skilled professionals and supporting job seekers in finding meaningful career opportunities. The organization specializes in talent acquisition, workforce solutions, and strategic hiring across diverse industries. Infise Tech emphasizes building strong, long-term relationships with both employers and candidates to ensure effective, sustainable matches. Applicants can expect a collaborative environment that values professional growth, adaptability, and high-quality service.
Role Description The Data Analyst Intern will work in a remote, contract role supporting data-driven decision-making for internal teams and client projects. Day-to-day tasks include collecting, cleaning, and organizing datasets, as well as performing basic statistical analysis and generating insights. The intern will assist with building simple data models, creating dashboards or reports, and visualizing key trends. Responsibilities also involve documenting analytical processes, communicating findings in clear formats, and collaborating with supervisors or project stakeholders to refine analysis requirements.
Qualifications

Candidates should possess strong Analytical Skills and foundational Data Analytics capabilities.
Candidates should possess basic knowledge of Statistics and experience applying statistical concepts to real datasets.
Candidates should possess effective Communication skills for presenting findings and collaborating with team members.
Candidates should possess an understanding of Data Modeling principles and interest in learning modern data tools.
Familiarity with tools such as Excel, Google Sheets, or basic SQL, and exposure to analytics or visualization tools (e.g., Power BI, Tableau, Python, or R) is beneficial.
Current enrollment in or recent completion of a degree program in Data Science, Statistics, Mathematics, Computer Science, Business, or a related field is preferred.
Ability to work independently in a remote environment, manage time effectively, and learn new technologies and methods quickly.