Data & Analytics Professionals | Entry-Level Roles

Company Description Galaxar Solution is a career-focused organization that partners with candidates to help them achieve long-term professional success. Rather than acting solely as a placement agency, the team provides end-to-end job search support, including profile marketing to increase visibility with employers. Candidates receive guidance on resume development, interview coaching with mock sessions and feedback, and assistance in navigating background checks. With a tailored approach for each individual, Galaxar Solution supports career changes and advancement, positioning candidates for strong opportunities in the job market. The organization is committed to helping every candidate unlock their potential and secure roles that align with their goals.
Role Description This full-time, on-site role in the United States is designed for entry-level data and analytics professionals who are eager to start or grow their careers in data-driven environments. Day-to-day responsibilities may include collecting, cleaning, and organizing datasets, performing basic data analysis to support business decisions, and assisting in the creation of reports, dashboards, and visualizations. Professionals in this role may help develop and maintain data models, contribute to data quality and governance activities, and collaborate with cross-functional teams to understand reporting needs. The position is suited for individuals who are detail-oriented, comfortable working with numbers and datasets, and interested in building foundational skills in analytics and data management.
Qualifications

• Candidates should possess strong Data Analytics and Analytical Skills to interpret data, identify trends, and support decision-making.
• Candidates should possess Data Management and Data Analysis skills to handle datasets, ensure data accuracy, and perform basic quantitative assessments.
• Candidates should possess Data Modeling skills to assist in structuring data for reporting, analysis, and long-term storage.
• Candidates should possess proficiency with spreadsheets or data tools (e.g., Excel, SQL, BI tools) and an interest in learning advanced analytics platforms.
• Candidates should possess good problem-solving abilities, attention to detail, and the capacity to communicate findings clearly to non-technical stakeholders.
• Candidates should possess a relevant educational background, such as a degree in Data Science, Statistics, Computer Science, Mathematics, Business Analytics, or a related field, or equivalent practical experience.
• Candidates should possess a willingness to learn, adapt to new technologies, and work collaboratively in a fast-paced, data-focused environment.