Sr. Statistical Analyst

Profile

u003cpu003eu003cstrongu003eABOUT LITTLERu003c/strongu003eu003c/pu003enu003cpu003eu003cspanu003eAt Littler, we understand that workplace issues canu0026rsquo;t wait. With access to more than 1,500 employment attorneys in over 80 offices around the world, our clients donu0026rsquo;t have to. We aim to go beyond best practices, creating solutions that help clients navigate a complex business world. With deep experience and resources that are local, everywhere, a diverse team of the brightest minds, and powerful proprietary technology, we deliver groundbreaking innovation that prepares employers for whatu0026rsquo;s happening today, and whatu0026rsquo;s likely to happen tomorrow. Because at Littler, weu0026rsquo;re fueled by ingenuity and inspired by you.u003c/spanu003eu003c/pu003enu003cpu003eu003cstrongu003eKEY ACCOUNTABILITIESu003c/strongu003eu003c/pu003enu003cpu003eu003cspanu003eRu003c/spanu003eesponsible for applying specialized advanced statistical analysis to work with large databases and engage in statistical modeling for internal and client-related use.u003c/pu003enu003cpu003eUnder the supervision of an attorney or Principal, the Senior Statistical Analyst will independently analyze client data regarding employment, compensation, pay practice and other data related to litigation or client counseling.u0026nbsp;u003c/pu003enu003cpu003eThe analyses are commonly performed using standard statistical software, such as PYTHON, STATA, ACCESS, EXCEL, or SAS.u0026nbsp; Analysis often requires the Senior Statistical Analyst to develop modeling.u0026nbsp; Familiarity with methods such as probit, logistic regression, and conditional logit is required.u003c/pu003enu003cpu003eResponsible for the data to be analyzed typically in structured databases or datasets but will not have been constructed with the particular application in mind.u0026nbsp; Significant portion of the work will require the ability to independently analyze and determine how to combine databases or datasets from a variety of sources and extract the relevant detail.u003c/pu003enu003cpu003eThe ability to work with internal/external clients to understand the data and fill in missing information.u003c/pu003enu003cpu003eCleaning, coding, and hashing data is an important component of the work.u0026nbsp; Preparation of templates for data cleaning and formatting which other Analysts can use.u0026nbsp; Provide trainingu0026nbsp; for other analysts on efficient data cleaning and consolidation methods.u003c/pu003enu003cpu003eKnowledge of and demonstrates applied machine learning or related AI techniques (using any software/programming languages like R, Python, etc.).u0026nbsp; Responsible for ML applications in employment (data mining, pattern mining in wage and hour records; predicting likely outcomes of claims and charges; etc.).u003c/pu003enu003cpu003eTraining and background in AI is preferred. Must be fluent in more than one statistical platform.u0026nbsp;u0026nbsp; Ability to utilizeu0026nbsp; STAT, SAS, ACCESS, PYTHON, and R.u003c/pu003enu003cpu003eResponsible to collect, organize, analyze data relevant to internal and external clients and u0026ldquo;cleaningu0026rdquo; statistical databases.u003c/pu003enu003cpu003eDemonstrate the ability to communicate ideas and analytical results effectively verbally, in writing, and via visualizations to both technical and non-technical clients.u003c/pu003enu003cpu003eResponsible for independently applying advanced statistical training to analyze large complex databases and datasets for review by supervising attorney(s) or Principals.u003c/pu003enu003cpu003eThe ability to summarize statistical findings in both technical and non-technical terms. Responsible for preparing template summary reports that are more user-friendly and have dynamic functionality for modeling alternative scenarios for project teams going into mediation or trial.u003c/pu003enu003cpu003eResponsible for developing training modules for the most common analyses and training the more junior analysts on those modules.u003c/pu003enu003cpu003eAbility to discuss with attorneys and management the significance of statistical findings.u003c/pu003enu003cpu003eResponsible for preparing exhibits and visualizations that display statistical findings.u003c/pu003enu003cpu003eResponsible for assessing completeness of databases and datasets and use discretion and judgment to develop recommendations to attorneys regarding additional data for analysis.u003c/pu003enu003cpu003eAbility to interface with clients regarding the means of transmitting data between client and Littler Mendelson.u003c/pu003enu003cpu003eResponsible for complying with all security protocols of Littler as well as our clients.u003c/pu003enu003cpu003eResponsible for identifying and implementing potential process improvements to the overall client service delivery process. Assist with implementing any required process changes to scale operations, improve efficiency and effective use of internal resources.u003c/pu003enu003cpu003eAssist in the evaluation and implementation of potential technology changes to streamline process and take advantage of available new functionality. Collaborate with other Data Analytics team members and Information Technology team to implement any selected new technologies.u003c/pu003enu003cpu003eAt times, requires more than a 40 hoursu0026rsquo; work week and occasional travel may be necessary.u003c/pu003enu003cpu003eu003cspanu003eu0026nbsp;u003c/spanu003ePerform such other/additional duties as may from time to time be assigned.u003c/pu003enu003cpu003eu003cstrongu003eTECHNICAL SKILLS AND COMPETENCIES REQUIRED:u003c/strongu003eu003c/pu003enu003cpu003eDemonstrated proficiency in common statistical programming packages such as STATA, SAS, ACCESS, and PYTHON and also developing proficiency in other platforms such as R.u003c/pu003enu003cpu003eDemonstrated ability to manage complex databases and datasets and familiar with standard statistical tests.u003c/pu003enu003cpu003eDemonstrated ability to combine a variety of databases or datasets into a single comprehensive database.u003c/pu003enu003cpu003eMust have the ability to express complex ideas simply.u003c/pu003enu003cpu003eAbility to work with non-statisticians and clearly communicate output.u003c/pu003enu003cpu003eDemonstrated ability to be self-motivated, work independently and as a team member.u003c/pu003enu003cpu003eExercise sound discretion and judgment.u003c/pu003enu003cpu003eDemonstrated ability to communicate with junior analysts on technical requirements and processes for statistical platforms and standard statistical tests.u003c/pu003enu003cpu003eu003cstrongu003eEDUCATION AND CERTIFICATIONS:u0026nbsp;u003c/strongu003eu003c/pu003enu003cpu003eRequired:u0026nbsp;u0026nbsp;u0026nbsp;u0026nbsp; Bachelorsu0026rsquo; Degree in Statistics, Mathematics, Computer Science, Data Science, or related fieldu003c/pu003enu003cpu003ePreferred:u0026nbsp;u0026nbsp;u0026nbsp; Masters inu0026nbsp; Statistics, Mathematics, Computer Science, Data Science, or related fieldu003c/pu003enu003cpu003ePreferred:u0026nbsp;u0026nbsp; Background, knowledge, or training in machine learning applications.u003c/pu003enu003cpu003eu003cstrongu003eEXPERIENCE REQUIRED:u003c/strongu003eu003c/pu003enu003cpu003e5-7 yearsu0026rsquo; experienceu003cbr /u003eKnowledge with methods such as probit, logistic regression, and conditional logit is required. u003cbr /u003eProficiency in common statistical programming packages such as STATA, SAS, ACCESS, and PHYTONu003c/pu003enu003cpu003eu0026nbsp;u003c/pu003e,EqualOpportunityEmployerDescription:null,PayTransparencyPolicyStatement:null,MatchScore:1.0,HasApplied:false,ApplicationJobBoardName:null,ApplicationJobBoardId:null,DateApplied:null,Salaried:true,CompensationAmount:null,PublishingStatus:1,Links:[],BehaviorCriteria:[],MotivationCriteria:[],EducationCriteria:[],LicenseAndCertificationCriteria:[],SkillCriteria:[],WorkExperienceCriteria:[],JobBoardMemberships:[{JobBoardId:2e3d7edd-7174-48cf-a542-539119bbcf9f,PublishedInternal:true,PublishedExternal:false,ExternalPostedDate:null,InternalPostedDate:2020-12-04T01:45:06.015Z},{JobBoardId:631c7b72-f9c7-4adf-9109-9967ce8334e4,PublishedInternal:true,PublishedExternal:true,ExternalPostedDate:2020-12-04T01:45:06.015Z,InternalPostedDate:2020-12-04T01:45:06.015Z}],AssessmentUri:null,AssessmentStatus:null,OpportunityIsClosed:false,TravelRequired:null,TravelDescription:null,SupervisorName:null,Assessments:[],ApplicationId:null});

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