The company is looking to solve essential business and HR challenges, such as predicting great hires, identifying employees at risk of leaving, and supporting employee engagement and diversity and inclusion goals and objectives.
Requirements
- 3+ year’s directly applicable experience in data modeling and data tools and languages such as Python required.
- Intermediate MS Excel skills required (e.g. VLOOKUP, PivotTables, charts and data analysis).
- Intermediate proficiency in Tableau required. Tableau Prep experience preferred.
- Advanced experience with proficiency in advanced languages (Python, R) with a strong emphasis on data modeling in Python or R.
- Experience in research design, visualization techniques, and analysis approaches in which you manage and analyze both structured and unstructured data.
- Experience in advanced statistical methods around hypothesis testing, clustering, machine learning predictions, and text mining.
- Experience modeling high-dimensional data.
Responsibilities
- Seek to understand people-related business problems and help frame them into actual research questions that can be answered with data.
- Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making at executive levels, within HR, and with people managers.
- Use platforms, programming, and systems to establish single-source data to be leveraged across the business to support insights and improved decision-making.
- Lead data-driven and evidence-based research to support the delivery of people metrics, reporting, and advanced and predictive analytics.
- Collaborate with and communicate broadly within the People Analytics team, HR, and the business in a cross-functional effort with key stakeholders to identify key initiatives and execute delivery of sustainable solutions to expand our data universe.
- Exercise traits of adaptability and good judgment to support organizational agility.
- Be a constant learner, active listener, and teacher to advance data science, people analytics, and our organization.
Other
- Four (4) year degree or equivalent experience required in either Analytics, Mathematics, Operations or Computer Science, Statistics, or similar highly quantitative degree.
- Experience applying data privacy regulations and navigating how to effectively use data while protecting an individual’s privacy.
- Experience thriving in project environments that often start with uncertain requirements or outcomes; ability to apply definition and structure around uncertain problems.
- Experience working in a fast-paced, dynamic, and entrepreneurial environment and the versatility to manage multiple projects, priorities, and urgent issues successfully and simultaneously.
- Experience positively interacting with people of opposing thoughts and ideas within a team environment.
- Deliver strong customer service including translation of requests into requirements and communication of technical information to a non-technical audience.
- Exercise traits of adaptability and good judgment to support organizational agility.
