Workplace Equity Consultant, Syndio

• You are passionate about our mission to close pay gaps and create fairness in the workplace
• You have experience or knowledge in pay equity, compensation, HR consulting, or compliance-related analytics (We do not provide legal advice, but the individual in this role is expected to provide expert-level compliance advice.)
• You are comfortable conducting multivariate regression analysis, chi-squared tests, and other statistical tests, and can explain methods and results to an audience with a limited statistical background
• You have a proven track record of developing and applying statistical knowledge to data driven questions
• You are comfortable generating and interpreting statistical models, analyses, graphs and data
• You have demonstrated experience with a variety of analytical tools (e.g. Excel, Python, R, SQL, etc.)
• You have the ability to explain and present complicated concepts and research projects to diverse audiences (e.g. in-house counsel, c-suite, HR analytics, etc.)
• You are deeply curious, willing to explore all aspects of the product to understand and identify new opportunities to meet customer needs
• You have strong attention to detail in all aspects of your work, but especially around the reliability and accuracy of your advice and analyses
• You are a self-starter who thrives working independently to solve complex problems, with minimal supervision, in a collaborative, kind, and supportive environment
• You are driven to provide solutions that meet customer needs in a flexible, and often proactive, way
• You are willing to ask questions and turn to your teammates for support and expertise
• You’re excited to own and drive initiatives within Syndio that leverage and build your skills and interests.

Desirable

• Draw on your past experience in compensation, HR, employment law, economics, or diversity, equity and inclusion (DE&I) strategy as well as Syndio-provided training on workplace equity best practices to provide expert advice on advanced pay equity topics to customers, fellow employees, and external audiences
• Partner with the sales and customer success team to consult customers on advanced analytical and statistical methods related to their workplace equity analyses and effective usage of the Syndio platform
• Build Syndio’s brand in EMEA through strategic thought leadership
• Conduct project-based and ad hoc data analyses customized to customer questions about pay equity and other workplace fairness metrics
• Analyze data for government compliance reports based on Syndio-generated templates and processes, including pay reporting required by the EU Pay Transparency Directive
• Translate custom analytics into use cases within the product and product requirements while supporting product and development teams as needed on design and implementation plans
• Partner with the data science and development teams to ensure statistical and systematic accuracy in the product
• Participate in comprehensive, ongoing training to gain in-depth knowledge about the nuances of pay equity, including statistics, analytics methods, and workplace equity laws
• Within 1 month, you’ll have completed a comprehensive and supportive onboarding process to help you understand the product, the business, and the workplace equity space
• Within 3 months, you’ll be fully ramped and working with customers to provide best practice advice and support custom analytics
• Within 6 months, you’ll be developing and delivering advanced custom analytics and advice to customers, while also contributing meaningfully to Syndio subject matter trainings and thought leadership initiatives

• 30 min interview with a member of our Talent Team
• A take-home assignment, problem set designed to assess your knowledge in the space of pay equity and statistics, as well as your consulting ability
• 45 minute zoom interview with the Hiring Manager
• Four video interviews with several team members (Customer Success, Sales, Research & Data, and Advice & Analytics) - 2.15 hours
• Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision