We are looking for enthusiastic, creative, and curious students enrolled in a program in Industrial/Organizational Psychology, Organizational Behavior, Statistics, Applied Mathematics, Behavioral Economics or a related field to join us on Salesforce's People Analytics team.|
Who you'll work with: We are a group of social scientists, statisticians, computer scientists, and consultants who conduct experimental and survey research to inform people-related business decisions. Our intern will take an active role in conducting research, building statistical models, and developing insights to help Salesforce scale and grow.
What you'll do:
- Work with the People Analytics team to design and implement new studies, analyze data, and report on results of research initiatives to a business audience.
- Data wrangling and conduct advanced statistical analysis (e.g. ANOVA, multiple regression, structural equation modeling, factor analysis) using survey and archival data.
- Communicate findings and recommendations to influence leaders to take action on the results.
- Research experience -- Experience designing, developing, implementing, and analyzing data from survey and experimental research. Experience providing output that can be easily understood and used for drawing conclusions.
- Statistical skills -- Strong statistical skills (e.g. ANOVA, multiple regression, structural equation modeling, factor analysis).
- Technical skills -- Proficiency in a statistical and data visualization packages (e.g. R, SPSS, STATA, Python, d3.js; R preferred).
- Authorization to work in the U.S .
- Passion -- Strong interest in conducting research in an applied setting and developing internal consulting skills.
- Communication -- Ability to communicate effectively, and especially to succinctly translate technical information for a non-technical audience.
- Problem-solving -- Ability to creatively solve problems in a fast-paced, rapidly changing environment.
- Curiosity - Ability to ask questions, challenge the status quo, and be open to learning