Job
Description
In the Global Assessments & People Analytics & Insights group at Citigroup, you will be solving business problems with workforce and business data. Analyzing data to facilitate evidence-based decision making will be a key responsibility. Utilizing statistical models to predict future outcomes and providing actionable insights will be integral to your role. The mission is to equip decision makers with data-driven insights through analytics to make informed decisions about individuals, teams, and organizations in order to enhance business performance. - Collaborate with cross-functional teams, including data scientists, project managers, HR partners, and business stakeholders. - Understand data requirements and define data engineering solutions to support workforce planning goals. - Build and maintain the People Analytics and Insights database, integrate multiple systems and data sources, and make large and complex data sets usable for analytics studies. - Mentor a team of data scientists, data engineers, and tableau developers. - Apply your analytical and technical expertise to translate business problems into actionable solutions. - Develop and implement data models to support advanced analytics and machine learning applications related to workforce planning and optimization. - Lead the execution and automation of analytical and reporting projects to meet client requirements and expectations. - Perform ETL tasks and data analyses, using reporting frameworks and statistical models/tests with tools like Python, Tableau, and others. - Effectively communicate findings, ideas, and concepts to non-technical stakeholders both internally and externally. - Stay updated on current trends and research in data science research and technology. The ideal candidate will have a Master's Degree or Bachelor's degree in Statistics, Economics, Mathematics, or a Bachelor's degree in Computer Science or IT. Extensive experience in Advanced SQL, Python programming, using platforms like Oracle, Google Cloud, Snowflake, Airflow, and Big Data tools like Hadoop, Spark, Kafka is required. Proficiency in Tableau and other data visualization tools is also necessary. Demonstrated ability to lead projects, strong analytical skills with unstructured datasets, experience managing and working with large databases, and data management skills are essential. Collaboration, multitasking, attention to detail, problem-solving, critical thinking, and business and HR acumen are preferred qualities. Adaptability to a matrix work environment and the ability to manage and work with structured and unstructured data with accuracy are crucial. Citigroup is an equal opportunity and affirmative action employer. In the Global Assessments & People Analytics & Insights group at Citigroup, you will be solving business problems with workforce and business data. Analyzing data to facilitate evidence-based decision making will be a key responsibility. Utilizing statistical models to predict future outcomes and providing actionable insights will be integral to your role. The mission is to equip decision makers with data-driven insights through analytics to make informed decisions about individuals, teams, and organizations in order to enhance business performance. - Collaborate with cross-functional teams, including data scientists, project managers, HR partners, and business stakeholders. - Understand data requirements and define data engineering solutions to support workforce planning goals. - Build and maintain the People Analytics and Insights database, integrate multiple systems and data sources, and make large and complex data sets usable for analytics studies. - Mentor a team of data scientists, data engineers, and tableau developers. - Apply your analytical and technical expertise to translate business problems into actionable solutions. - Develop and implement data models to support advanced analytics and machine learning applications related to workforce planning and optimization. - Lead the execution and automation of analytical and reporting projects to meet client requirements and expectations. - Perform ETL tasks and data analyses, using reporting frameworks and statistical models/tests with tools like Python, Tableau, and others. - Effectively communicate findings, ideas, and concepts to non-technical stakeholders both internally and externally. - Stay updated on current trends and research in data science research and technology. The ideal candidate will have a Master's Degree or Bachelor's degree in Statistics, Economics, Mathematics, or a Bachelor's degree in Computer Science or IT. Extensive experience in Advanced SQL, Python programming, using platforms like Oracle, Google Cloud, Snowflake, Airflow, and Big Data tools like Hadoop, Spark, Kafka is required. Proficiency in Tableau and other data visualization tools is also necessary. Demonstrated ability to lead projects, strong analytical skills with unstructured datasets, experience manag
