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Google Benefits Specialist Data Insights 
United States, Michigan, Ann Arbor 
158907481

16.06.2025
Info This role may also be located in our Playa Vista, CA campus.Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Ann Arbor, MI, USA; Atlanta, GA, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Washington D.C., DC, USA; Mountain View, CA, USA.

This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 4 years of experience working with benefits data.

Preferred qualifications:
  • Experience conducting survey-based analytics and developing statistical models within the R environment.
  • Experience socializing and presenting analysis, proposals, and strategies to organizational leaders.
  • Expertise in SQL and experience managing and executing SQL-based projects, writing SQL scripts, and creating dashboards.
  • Ability to evaluate and synthesize data into accurate and unbiased results, actionable interventions, and recommendations that drive broader program strategy.
  • Ability to understand new datasets and manipulate data structures, and passion for transforming data sets into a compelling story with data visualizations and reports.
  • Strong communication and influencing skills and ability to articulate complex technical topics to non-technical audiences.