Job Title:
Data Analyst
Company: Guildstars
Location: Thane, Maharashtra
Created: 2026-05-10
Job Type: Full Time
Job Description:
Company Description Guildstars provides a comprehensive ecosystem for professional growth, bridging the gap between ambition and execution with an end-to-end platform. Through its three-pillar approach—Elite Career Upskilling, Education Consulting, and Career Acceleration—Guildstars equips individuals with industry-aligned skills, strategic academic guidance, and direct mentorship to secure top-tier roles. Committed to nurturing exceptional talent, the organization ensures every step of its users’ journeys is supported. Guildstars is dedicated to helping individuals achieve their career and educational ambitions with personalized and innovative solutions. Role Description Guildstars is seeking a dedicated Data Analyst for a full-time, remote role. The Data Analyst will leverage analytical tools and methodologies to collect, analyze, and interpret data to support key business decisions. Responsibilities include creating data models, generating actionable insights, collaborating with teams to identify trends, and delivering clear reports and visualizations. The role also involves identifying opportunities for process optimization and presenting findings to both technical and non-technical audiences. Qualifications Strong Analytical Skills and expertise in Data Analytics for extracting insights and making data-driven decisions.Proficiency in Statistics to analyze data trends and draw meaningful conclusions.Experience in Data Modeling for developing and implementing data organization frameworks.Strong Communication skills to articulate findings effectively to diverse teams and stakeholders.Proficiency with data analysis tools such as SQL, Excel, Python, R, or similar technologies.Excellent problem-solving skills and ability to work independently in a remote setting.Familiarity with visualization tools like Tableau, Power BI, or similar platforms is a plus.Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or a related field is preferred.