Talent Analytics Sr Analyst (Location Flexible)

the opportunity to lead and manage multiple strategic projects that have a real impact on business outcomes. - Innovative Tool Implementation: Work closely with the Talent Systems and Technology teams to drive the adoption of cutting-edge analytics tools, optimizing them to meet evolving business needs. - Problem Solving: Use analytics to solve key talent business questions and provide support for core functions by incorporating proactive outreach on trends and external benchmarking.

- Using HR systems and database tools to develop and deliver ad hoc, recurring, and on-demand / self-service analysis and data solutions. - Independently or with a team, exploring and implementing new ways to take on data or technical challenges. - Designing, estimating, and personally executing an analysis plan based on a high-level functional issue description or business question. - Describing your own analysis and the insights you draw from it to others in HR or the business. - Recommending business process or system improvements to reporting capabilities and influence system owners to incorporate changes. - Peer reviewing SQL code/reporting and performing data validation as related to data acquisition for analytic purposes. - Ensuring products are delivered that are audience appropriate, adhering to HR standards for data sharing and meeting the client's need accurately.

- Bachelor's degree in Computer Science, Mathematics, Management Information Systems, Data Science, Statistics, Engineering or similar from an accredited college/university (Required) - Master's degree in Statistics, Mathematics, Economics, Human Resources, Operations Research, Data Science or similar from an accredited college/university (Preferred)

- Minimum of 3 years using data transformation tools such as Alteryx - Minimum of 3 years in using SQL to query large datasets - Minimum of 2 years of solutioning, preparing, and visualizing data for non-technical stakeholders using Power BI (report creation, DAX, power query, and data modeling)

- Experience using RStudio or Python for automation or data processing such as statistical modeling, machine learning, or data mining - Strong analytical and quantitative problem-solving ability - Excellent communication, relationship skills and a strong team player - An understanding of core Human Resources functions, typical workforce management processes and related data - Experience in HR related systems: Workday, Cornerstone, Qualtrics, VNDLY, ServiceNow - Experience with other presentations tools such as PowerPoint and Visio - Experience defining, structuring, and documenting data - Experience with process documentation