HR Analytics Internship

Description

Job Summary: We are seeking an intern passionate about data, machine learning, and automation to develop data solutions that enhance decision-making in people management. Key Highlights: 1. Development of predictive and prescriptive People Analytics models. 2. Building and maintaining data pipelines. 3. Automation of reports and key performance indicators using Python, SQL, and Power BI. **Company Description:** Enaex is a subsidiary of the Sigdo Koppers Group. With 105 years of experience and track record in the explosives market, Enaex has established itself as the world’s third-largest producer of low-density ammonium nitrate and the leading provider of comprehensive rock fragmentation services for mining in Chile and Latin America. We invite you to grow with us and challenge yourself daily at a company whose purpose is to Humanize Mining. If life is your top priority, excellence your obsession, customers your vocation, and innovation and entrepreneurship your strengths—this is the place for you! **Job Responsibilities:** Are you passionate about data, machine learning, and automation? Then this internship is for you! Within the VP of People and Sustainability, we are taking analytics to the next level and seeking a technically oriented intern eager to make an impact by building data solutions that enhance decision-making, efficiency, and innovation in people management. * Participate in the development, maintenance, and automation of predictive and prescriptive People Analytics models (e.g., attrition, performance, absenteeism, engagement). * Build and maintain data pipelines from various HR platforms and systems (e.g., SuccessFactors). * Automate departmental reports and key performance indicators (KPIs) such as attraction, turnover, diversity, etc., using tools including Python, SQL, and Power BI. * Deploy solutions to the cloud (Azure) for integration and scalability. * Collaborate on management control processes and analysis of the effectiveness of People Department initiatives. * Propose continuous improvements to data sources, processes, visualization, and interpretation of information. **Requirements:** * Bachelor’s degree in Computer Engineering / Information Technology / Industrial Engineering / Mathematics Proficiency in Python and/or R **Offer Conditions:****Benefits:** * Hybrid work modality * Training programs and courses * Meal card * Internship allowance.