Location: New York, NY
Cap-Exempt H-1B Position — No lottery required
Position Summary Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors. Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world’s most complex economic problems. We are looking for an HR Insights Analyst to join our Reporting & Analytics team. At a firm built on the careful application of data, we bring that same standard to questions about our people: how we attract and retain talent, how we understand engagement and performance, and how we make sense of the dynamics of our organization. In this role, you will play a key part in using our people data to develop the insights and narratives that HR and business leaders rely on to make decisions. This is a high-visibility role working closely with the team lead and other HR leaders. You will move between focused analyses, recurring reporting, employee surveys, and data quality work, telling the story behind the numbers in ways that resonate with senior audiences. We seek a candidate who enjoys serious analytical work and feels comfortable working directly with senior partners, who can transform loosely defined questions into clear, structured answers, and who is motivated by the challenge of translating people data into valuable business insights. If you are enthusiastic about joining a collaborative, intellectually curious team where thoughtful analysis helps drive better business decisions, we would love to meet you! **You Will Take On The Following Responsibilities** - Conduct and support analyses on a broad range of people data topics, such as attrition, recruiting pipeline effectiveness, performance, promotions, and organizational d