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People Analytics Data Scientist1872 ConsultingUnited States
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People Analytics Data Scientist

1872 Consulting
  • US
    United States
  • US
    United States

About

Data Scientist
The data scientist will be responsible for envisioning, implementing, and maintaining the technical infrastructure that will drive HCAP's people analytics priorities forward. The output of this effort will be automated reporting products and data visualizations that provide efficient access to talent insights for senior business leaders throughout the firm. This position provides ample opportunities to collaborate with technical professionals across the firm and deliver best-in-class people analytics infrastructure, including the design and implementation of a central data warehouse. Ideal applicants will have a bachelor's degree or higher and three to five years of relevant work experience developing automated analytical reporting products in a business setting. Experience building ETLs, manipulating data at scale, and overseeing the technical operations of data infrastructure is essential. Knowledge of scripting languages for data retrieval and transformation (e.g., R, Python, SQL) is critical. The ability to collaborate with a product manager and software development team in the architecture of a central data warehouse that will facilitate efficient reporting automation is also vital. Familiarity with business intelligence programs (e.g., Tableau, Power BI, Pentaho, Shiny) and leading practices in data visualization is desired. Individuals who possess a dedicated customer service mentality, excellent interpersonal communication skills, an ability to see how small details impact the bigger picture, and a knack for rapid problem solving are highly sought after. Willingness to dive into details, collaborate effectively with teammates, and drive projects to completion is imperative. The ability to exercise extreme discretion with confidential information is also essential. People analytics experience is preferred but not required.
  • United States

Languages

  • English
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