<h2>Company:</h2>Mercer<h2></h2><p></p><h2>Description:</h2><p></p><p>Mercer (US) LLC is seeking candidates for the following full-time position based in the Los Angeles, CA office (A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with company policies.):</p><p></p><p>Senior Associate, Senior Talent Strategy Consultant I</p><p></p><p></p><p><b>We will count on you to:</b></p><p>Lead client projects to translate Human Resources data and organizational data into actionable insights that improve and drive talent decisions, collaborating with economists, psychologists and statisticians. Serve as an expert advisor and lead quantitative and qualitative analyses. Peer review advanced statistical analysis, including regression modeling and statistical testing using SAS/R. Play an integral role in preparing client deliverables, by creating new slide templates and SAS/R code for the production of displays to incorporate into client reports or interactive tools. Design new HR tools and protocols using R/Python code, making annotations and generalized templates that can be leveraged in future projects. Determine the appropriate analytical approach at the outset of a project and contribute to project monitoring, including creating project timelines and budgeting. Review client data and lead the resolution of data issues for clients. Serve as the day-to-day point of contact for clients to address issues or discrepancies with respect to HR data and statistical analysis. Develop customized client reports based on outcomes of statistical analysis. Coach junior colleagues on statistical analysis and economics concepts as they pertain to HR. Delegate project work to lower-level analysts and review their work product. Participate in business development to improve business offerings as well as get new clients.</p><p></p><p><b>What you need to have: </b></p><p>Must have a PhD degree or foreign equivalent in Economics, IO Psychology, Statistics, or a related field plus two (2) years of experience in the position offered or a related position. In the alternative, employer will accept a Master’s degree or foreign equivalent in Economics, IO Psychology, Statistics, or a related field plus five (5) years of experience in the position offered or a related position. Must have two (2) years (or five [5] years with a Master’s) of experience with all of the following: Performing advanced statistical analysis including multivariate and logistic regression modeling and statistical tests as well as significance testing, structural equation modeling, and clustering using Python and R; Executing statistical tables and data visualization in MS Excel and Tableau; Performing data transformation and quantitative analysis using large data sets to provide labor market insights; Supporting labor market diagnostics regarding diversity and inclusion as well as understanding of external labor markets and trends in different industries; Explaining statistical analysis results and economics concepts to clients from various backgrounds; Conducting Executive interviews utilizing Zoom and Teams; Performing project management including creating project timelines and budgeting using applications including SmartSheet; Peer reviewing and overseeing data structures and models built by junior analysts while providing technical support to resolve data discrepancies; Building new tools and protocols for future use, including creating shiny modules in R shiny app, building user guide of tools, and writing SAS macros for improving the efficiency of programs. 10% domestic travel is required to various and unanticipated company and client sites.</p><p></p><p>The applicable base salary range for this role is $132,000 - $182,500 per year.</p><p>The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.</p><p></p><p>We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.</p><p></p><p> <b>#LI-DNI</b></p><p></p><p></p>Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X.<h3></h3><p></p><h3></h3><p></p>Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.<h3></h3><p></p>Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.<h3></h3><p></p><h3></h3><p></p><h3></h3><p></p><p></p><p></p><p></p><p></p><p></p><p></p>