Company Description SakshamGram Credit Pvt. Ltd. operates as a Business Correspondent for Banks and Non-Banking Financial Companies (NBFCs), facilitating the acquisition and servicing of Small Business Loans and MicroBanking customers through a hybrid physical and digital approach. The company utilizes 100% Digital Acquisition methods and employs a Phygital mode for repayments. Role Description This is a full-time Data Analyst role, located on-site in Madhubani. The Data Analyst will be responsible for analyzing and interpreting complex data sets to support decision-making processes. The role involves data modeling, utilizing statistical methods, and producing comprehensive reports to highlight trends and insights. Effective communication of findings to various stakeholders is also a key part of the day-to-day tasks. Qualifications Strong Analytical Skills and proficiency in Data Analytics Experience with Statistics and Data Modeling Excellent Communication skills Attention to detail and ability to work with large data sets Bachelor's degree in Data Science, Statistics, Mathematics, or a related field Knowledge of financial industry practices is a plus Show more Show less
Role Overview: As a Data Analyst at the company located in Madhubani, your primary responsibility will be to analyze and interpret complex data sets to support decision-making processes. This will involve data modeling, utilizing statistical methods, and producing comprehensive reports to highlight trends and insights. Additionally, effective communication of findings to various stakeholders will be a key part of your day-to-day tasks. Key Responsibilities: - Analyze and interpret complex data sets - Utilize statistical methods for data modeling - Produce comprehensive reports to highlight trends and insights - Communicate findings effectively to various stakeholders Qualifications: - Strong analytical skills and proficiency in data analytics - Experience with statistics and data modeling - Excellent communication skills - Attention to detail and ability to work with large data sets - Bachelor's degree in Data Science, Statistics, Mathematics, or a related field - Knowledge of financial industry practices is a plus,