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People Analytics Analyst
hace 4 semanas
Overview Join to apply for the People Analytics Analyst role at Assurant . The People Analytics Analyst will support Assurant’s People Organization in advancing towards a data-driven and insight-led culture. The role is responsible for developing advanced data models, and delivering actionable insights that inform HR and business decisions. This position combines hands-on analytics with strategic storytelling, supporting global HR leaders through consistent, standardized, and scalable data solutions. Primary Job Responsibilities Data Analysis, Modeling & Insights Design, implement, and optimize data models, pipelines, and dashboards in Power BI. Leverage SQL, Python, and advanced analytics techniques to analyze workforce data and provide actionable insights. Conduct exploratory and advanced data analysis (e.g., predictive modeling, workforce segmentation, attrition analysis). Apply statistical methods, machine learning literacy, and data science techniques where relevant to HR use cases. Use storytelling and visualization best practices to translate complex findings into clear insights for leaders. Reporting & Dashboard Management Build and maintain reports and dashboards that are accurate, timely, and scalable across global HR teams. Ensure data integrity, consistency, and governance across all People Analytics assets. Monitor, audit, and validate data flows, ensuring reliable business intelligence for decision-making. Adapt dashboards and reports to evolving business needs and organizational changes. Stakeholder Engagement & Process Improvement Collaborate with People Org, Business, Data Analytics, and IT partners to turn problem statements into analytics solutions. Collect requirements, design reporting solutions, and train HR and business users on analytics tools. Proactively recommend improvements to data processes, automation opportunities, and reporting methodologies. Contribute to adoption and change management initiatives to embed analytics into daily decision-making. Qualifications / Requirements Experience, Skills, and Knowledge Bachelor’s degree in Computer Science, Analytics, Statistics, Business, Economics, or related field. Minimum 2+ years of experience in analytics, reporting, or data science Hands-on experience with Power BI (data modeling, DAX, visualization). Strong proficiency in SQL and working knowledge of Python (data wrangling, statistical analysis, or automation). Ability to analyze large datasets, derive insights, and communicate results clearly. Strong organizational, critical thinking, and problem-solving skills. Excellent written and verbal communication skills. Preferred Experience, Skills, And Knowledge Master’s degree in Analytics, Data Science, Statistics, or related field. Experience with advanced analytics methods, including machine learning, predictive modeling, or AI literacy. Familiarity with HR/People Analytics, HR technologies, or cloud data platforms. Experience with Microsoft Power Platform, SharePoint, or agile project methodologies. Curiosity, entrepreneurial mindset, and ability to work independently with minimal supervision. Note: The following inclusion statement has been kept as plain text to preserve content while removing formatting tags. At Assurant, we celebrate the differences that make us who we are. By assembling extraordinary teams from a variety of races, religions, sexual orientations, gender identities, ages, experiences, and abilities, we’re able to better reflect the global communities where we live and work. By working to remove barriers, we ensure equity for everyone. The pursuit of inclusion rests with each of us. Because it’s only by listening to and representing the unique voices of every individual that we can innovate for all. For further information about Assurant, please visit our website: Seniority level Entry level Employment type Full-time Job function Human Resources Industries Insurance and Consumer Services References to job postings may include location details: Buenos Aires, Buenos Aires Province, Argentina. #J-18808-Ljbffr
