Job Title

Company DescriptionFaxoc is an innovative platform that integrates a Job Portal and Human Resource Management System (HRMS) with advanced AI technology. The platform streamlines recruitment processes and optimizes human resource management, connecting businesses and job seekers efficiently. Faxoc offers AI-powered recruitment, job matching, large resume database, automated resume search, job advertisements, talent pool management, applications tracking, staffing agencies management, employee onboarding, and employee performance analytics.Role DescriptionAs a Data Analyst at Faxoc, you will be responsible for collecting, processing, and analyzing large datasets to uncover actionable insights that support strategic initiatives. Your work will directly influence business decisions, enhance operational efficiency, and drive innovation within the Organization.Gather data from diverse sources, ensuring accuracy and consistency. Perform data cleansing to prepare datasets for analysis.Utilize statistical methods and analytical tools to identify trends, patterns, and correlations within the data.Develop and maintain dashboards and reports using tools like Tableau, Power BI, or similar to present findings to stakeholders.Work closely with cross-functional teams, including product, marketing, and operations, to understand data needs and provide insights that inform business strategies.Identify opportunities for process optimization and automation within data workflows.Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.1+ years of experience in data analysis, preferably within a SaaS or technology-driven environment.Proficiency in SQL for data querying and manipulation.Experience with data visualization tools such as Tableau, Power BI, or similar.Familiarity with programming languages like Python or R for data analysis.Knowledge of statistical analysis and data modeling techniques.Strong analytical and problem-solving abilities.Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.Attention to detail and commitment to data accuracy.