Occupation · SOC 43-9111
Statistical Assistants
Compile and compute data according to statistical formulas for use in statistical studies. May perform actuarial computations and compile charts and graphs for use by actuaries. Includes actuarial clerks.
Median wage
$51,440
$38,050–$79,410
Projected growth
-3.1%
Declining
Annual openings
-20
per year
Employed (US)
5,900
Job Zone 4
Typical preparation
Considerable preparation
Stackable credential programs
455 mapped
Core skills
MathematicsReading ComprehensionCritical ThinkingComplex Problem SolvingActive LearningWritingSpeakingActive ListeningTime ManagementJudgment and Decision MakingProgrammingMonitoringSocial PerceptivenessService OrientationLearning StrategiesCoordinationPersuasionInstructingNegotiationManagement of Personnel ResourcesSystems EvaluationSystems AnalysisQuality Control AnalysisScienceTechnology DesignOperations AnalysisOperations MonitoringManagement of Material ResourcesManagement of Financial ResourcesTroubleshootingRepairingOperation and ControlInstallationEquipment SelectionEquipment Maintenance
Knowledge areas
English LanguageMathematicsComputers and ElectronicsCustomer and Personal ServiceEducation and TrainingAdministrativeAdministration and ManagementLaw and GovernmentEconomics and AccountingPersonnel and Human ResourcesPublic Safety and SecurityCommunications and MediaEngineering and TechnologyProduction and ProcessingSales and MarketingSociology and AnthropologyTransportationPsychologyFood ProductionTelecommunicationsDesignGeographyBuilding and ConstructionHistory and ArcheologyForeign LanguagePhilosophy and TheologyMechanicalTherapy and CounselingBiologyPhysicsChemistryMedicine and DentistryFine Arts
Technology & tools
A programming language APLAvidian Technologies ProphetBenfield ReMetricaBentley MicroStationC#C++Corel WordPerfect Office SuiteData visualization softwareDatabase softwareGGY AXISGoogle Workspace softwareHarvard GraphicsHyland OnBase Enterprise Content ManagementIBM Lotus 1-2-3IBM SPSS StatisticsInsightful S-PLUSMicrosoft AccessMicrosoft Active Server Pages ASPMicrosoft ExcelMicrosoft Office softwareMicrosoft OutlookMicrosoft PowerPointMicrosoft Visual BasicMicrosoft Visual StudioMicrosoft WordMinitabOracle JavaOracle PL/SQLPolySystems Asset DelphiPythonQSR International NVivoRSAP BusinessObjects Crystal ReportsSASSTATISTICASoftware development toolsStataCorp StataStructured query language SQLSystat Software SigmaStatTableau
Representative tasks
Working with ComputersGetting InformationAnalyzing Data or InformationCommunicating with Supervisors, Peers, or SubordinatesProcessing InformationOrganizing, Planning, and Prioritizing WorkEstablishing and Maintaining Interpersonal RelationshipsInterpreting the Meaning of Information for OthersUpdating and Using Relevant KnowledgeMaking Decisions and Solving ProblemsDocumenting/Recording InformationEvaluating Information to Determine Compliance with StandardsCommunicating with People Outside the OrganizationIdentifying Objects, Actions, and EventsDeveloping and Building TeamsCoaching and Developing OthersCoordinating the Work and Activities of OthersEstimating the Quantifiable Characteristics of Products, Events, or InformationPerforming Administrative ActivitiesProviding Consultation and Advice to OthersTraining and Teaching OthersScheduling Work and ActivitiesThinking CreativelyPerforming for or Working Directly with the PublicResolving Conflicts and Negotiating with OthersDeveloping Objectives and StrategiesGuiding, Directing, and Motivating SubordinatesMonitoring Processes, Materials, or SurroundingsAssisting and Caring for OthersJudging the Qualities of Objects, Services, or PeopleSelling or Influencing OthersMonitoring and Controlling ResourcesStaffing Organizational UnitsPerforming General Physical ActivitiesControlling Machines and ProcessesHandling and Moving ObjectsInspecting Equipment, Structures, or MaterialsDrafting, Laying Out, and Specifying Technical Devices, Parts, and EquipmentRepairing and Maintaining Electronic EquipmentRepairing and Maintaining Mechanical Equipment
Competency framework
Skill expectations by proficiency level.
emerging
Statistical formulas and calculators — apply under direct supervision to compute basic descriptive statistics for assigned datasets in an office or research support environment.Source data completeness and accuracy — verify by cross-referencing original survey forms or records against entered values under guidance from a senior analyst.Data entry tasks — execute with attention to detail by inputting coded records into statistical software or database systems following established protocols.Data coding lists — interpret and apply to categorize raw survey responses prior to computer entry in a structured administrative workflow.Standard office suite software — use to organize and format tabular data outputs in support of team reporting tasks.Database user interface tools — navigate under supervision to retrieve and file data records according to departmental data management procedures.Survey forms and printed reports — sort, label, and organize for distribution or analysis following defined paperwork-handling procedures.Basic statistical charts and graphs — produce using analytical software templates to illustrate preliminary findings for supervisor review.Written comprehension skills — demonstrate by reading and following detailed procedural manuals and codebooks relevant to assigned statistical support tasks.Time management principles — apply by prioritizing routine data entry and verification tasks to meet established project deadlines in a team-based setting.
developing
Statistical computations and trend analyses — perform routinely using analytical software such as SAS or SPSS to support research or operational reporting with reduced oversight.Source data audits — conduct independently by designing and executing completeness and accuracy checks across multiple data files in a production database environment.Data compilation reports — prepare by integrating results from multiple analyses into coherent charts, graphs, and narrative summaries for internal or external stakeholders.Database query tools — use proficiently to extract, update, and maintain large datasets in support of ongoing statistical projects.Data coding schemes — develop and refine for recurring survey instruments, ensuring consistent classification across data collection cycles.Publication-ready data tables — assemble by formatting and validating statistical outputs for inclusion in departmental or government reports.Complex problem-solving techniques — apply when reconciling discrepancies between source records and database entries across high-volume data sets.Graphics and photo imaging software — utilize to enhance the visual clarity of analytical charts and figures prepared for presentation or publication.Critical thinking skills — employ to evaluate the appropriateness of selected statistical methods relative to project data types and research objectives.Document management software — use to organize, version-control, and archive project files and analytical records within established information governance frameworks.
proficient
Advanced statistical analyses — design and execute autonomously using programming languages such as Python or R to address non-routine analytical questions across the full project lifecycle.Multi-source data integration — lead by merging and reconciling datasets from disparate systems to ensure analytical integrity for complex research or policy projects.Comprehensive analytical reports — author independently, translating statistical findings into clear, evidence-based narratives suitable for diverse professional audiences.Data quality assurance frameworks — implement by establishing validation rules and audit workflows that systematically detect and resolve data errors organization-wide.Database architecture and query optimization — apply using SQL or equivalent tools to maintain high-performance data environments supporting concurrent analytical workloads.Statistical publication processes — manage end-to-end by coordinating data preparation, peer review, and formatting for official release in accordance with agency standards.Judgment and decision-making competency — exercise when selecting appropriate modeling approaches, interpreting ambiguous results, and recommending corrective analytical actions.Active learning strategies — employ by independently evaluating emerging statistical methodologies and integrating relevant techniques into current project work.CRM and financial analysis software — leverage to align statistical outputs with operational or business intelligence objectives across cross-functional teams.Inductive and deductive reasoning — apply systematically to identify patterns in complex datasets and draw valid, defensible conclusions for organizational decision support.
advanced
Organizational statistical strategy — set direction for by defining standards, methodologies, and technology roadmaps that govern data analysis practices across the enterprise.Competency development programs — design and deliver for statistical assistant teams, mentoring staff in advanced analytical techniques, software proficiency, and quality assurance.Cross-departmental data governance — lead by establishing policies for data integrity, security, and lifecycle management that align with regulatory and organizational requirements.Enterprise-scale publication initiatives — oversee by directing the end-to-end production of statistical reports, datasets, and public-facing data releases for large agencies or organizations.Senior stakeholder communication — drive by translating complex statistical insights into strategic recommendations presented to executive leadership and external partners.Institutional analytical frameworks — architect by integrating development environment software, object-oriented programming tools, and database platforms into unified, scalable data pipelines.Quality and performance standards — establish for statistical support functions, defining measurable benchmarks and audit mechanisms to ensure consistent accuracy and reliability.Research partnerships and contracts — negotiate and manage by representing the organization's statistical capabilities with academic institutions, government bodies, or industry clients.Workforce planning for statistical operations — lead by assessing team capacity, identifying skill gaps, and directing recruitment and training strategies to meet evolving analytical demands.Innovation in statistical methodology — champion at the organizational level by evaluating advanced modeling techniques, piloting new analytical tools, and institutionalizing best practices across the field.
Also known as
39 alternate job titles map to this occupation.
Actuarial AnalystActuarial AssistantActuarial TechnicianActuary ClerkAdministrative AnalystAdvertising Statistical ClerkAnalytical ClerkBookmanChart CalculatorChart ChangerChart ClerkCompilation ClerkCompilerCustomer Data TechnicianData Analysis AssistantData Analysis ClerkData CompilerData Editing ClerkData TechnicianFiscal ClerkMileage ClerkProrate ClerkProration ClerkRecord Tabulating ClerkReport ClerkResearch AssistantResearch AssociateStatistical AnalystStatistical AssistantStatistical ClerkStatistical Research AssistantStatistical TechnicianSurvey Data TechnicianTabulating ClerkTariff CompilerTariff Compiling ClerkTechnical AnalystVoice and Data TechnicianWheelage Clerk