Senior People Science Analyst to join the global People Science Analytics team for a 12-month fixed term contract, partnering with customers across EMEA and North America on bespoke research using Culture Amp and customer-supplied data.
Compensation
Base Salary Range (US)
$140,000—$160,000 USD
Responsibilities
Lead customer discovery and own studies end to end, from clarifying the business problem and shaping the research question through to design, delivery and recommendations
Design, clean, combine and explore platform and customer-supplied datasets using robust, reusable approaches that protect participant privacy
Conduct rigorous statistical analyses across engagement, lifecycle, performance and team effectiveness data, generating actionable and, where appropriate, predictive insights tied to business outcomes
Use AI tools to accelerate research, analysis, synthesis and communication, while validating outputs, protecting customer data and maintaining methodological rigour
Collaborate with customer-facing People Scientists on advanced HR analytics projects, applying sound judgment about methods, limitations and trade-offs
Requirements
Masters or PhD in organisational psychology, quantitative social science, economics or a related field
Senior People Science Analyst to partner with customers across EMEA and North America on bespoke research using Culture Amp and customer-supplied data, owning studies from question through to action.
Compensation
Base Salary Range (US) $140,000—$160,000 USD
Responsibilities
Lead customer discovery and own studies end to end, from clarifying the business problem and shaping the research question through to design, delivery and recommendations
Design, clean, combine and explore platform and customer-supplied datasets using robust, reusable approaches that protect participant privacy
Conduct rigorous statistical analyses across engagement, lifecycle, performance and team effectiveness data, generating actionable and, where appropriate, predictive insights tied to business outcomes
Use AI tools to accelerate research, analysis, synthesis and communication, while validating outputs, protecting customer data and maintaining methodological rigour
Collaborate with customer-facing People Scientists on advanced HR analytics projects, applying sound judgment about methods, limitations and trade-offs
Requirements
Master's or PhD in organisational psychology, quantitative social science, economics or related field, or equivalent applied research experience
Lead customer discovery and own studies end to end, from clarifying the business problem and shaping the research question through to design, delivery and recommendations
Compensation
Base Salary Range (US) $140,000—$160,000 USD
Responsibilities
Lead customer discovery and own studies end to end
Design, clean, combine and explore platform and customer-supplied datasets
Conduct rigorous statistical analyses across engagement, lifecycle, performance and team effectiveness data
Use AI tools to accelerate research, analysis, synthesis and communication
Collaborate with customer-facing People Scientists on advanced HR analytics projects
Requirements
Advanced degree (Masters or PhD) in organisational psychology, quantitative social science, economics or a related field
Lead mixed‑methods research to inform workplace innovation across Salesforce’s global portfolio.
Locations (3)
San Francisco, California, United States
Chicago, Illinois, United States
Atlanta, Georgia, United States
Compensation
The typical base salary range for this position is $117,400 - $177,600 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $140,900 - $193,700 annually.
Responsibilities
Collaborate with Pilots and Space Insights teams across the pilot project lifecycle
Own the mixed‑methods employee research workstream to design, field, and deliver baseline, in‑flight, and post‑pilot insights
Conduct on‑site qualitative fieldwork such as interviews, workshops, and ethnographic research
Responsible for forecasting contact center demand at the daily and monthly time interval out to several years to assist with resource planning across Consumer and Community Banking operations, focusing on time-series forecasting, inferential statistics, and data analysis.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity.
Responsibilities
Identify opportunities to enhance existing call volume and productivity forecasting process.
Regularly assess the accuracy of forecasts by comparing them with actual outcomes, implement improvements based on findings.
Provide analytical leadership to cross-functional team structure that prepares detailed integrated forecasts across multiple lines of business, and segments.
Taking complex results and communicating them in an easily understood way.
Explore opportunities for creating frameworks for automation using Python.
Requirements
MS/PHD Degree in quantitative discipline such as Statistics
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