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Top 50 Statistician Skills

Below we've compiled a list of the most important skills for a Statistician. We ranked the top skills based on the percentage of Statistician resumes they appeared on. For example, 11.3% of Statistician resumes contained Data Analysis as a skill. Let's find out what skills a Statistician actually needs in order to be successful in the workplace.

These are the most important skills for a Statistician:

1. Data Analysis

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high Demand
Here's how Data Analysis is used in Statistician jobs:
  • Interacted with other agencies and performed data analysis in compliance with privacy requirements of human subject.
  • Supported the data analysis and reporting functions of the Diversity Management and Equal Opportunity office.
  • Performed data analysis using SAS on studies involving local and international environments.
  • Condensed data analysis into charts and graphs for multimedia presentations.
  • Used statistical data analysis to drive fact-based decisions.
  • Perform quality assurance for clinical data analysis.
  • Assisted the team by conducting the data analysis, put together a presentation with the results and the corresponding charts.
  • Performed strategic data analysis, mining and research to support revenue management process, claims, program and member eligibility.
  • Computerized data analysis of discs for accuracy, hand checking of discs, and quality control reporting to supervisors.
  • Coordinate with the contractors for extraction of surveys data from the mainframe for estimation and data analysis.
  • Conduct data analysis using basic to advanced skills in statistics and database query methods.
  • Worked with some clinical groups and used SPSS to do data analysis for them.
  • Used R to perform data analysis and SAS to test the proportionality assumption.
  • Performed data cleaning, developed and verified SAS macros to perform data analysis.
  • Created data analysis solutions with SPSS and STATA to evaluate longitudinal data.
  • Utilized EXCEL, SAS, and STATA for data analysis and presentation
  • Review data analysis results to ensure accuracy of work.
  • Used SAS and SPSS for data analysis.
  • Interact with Stata users daily regarding data analysis, statistical methodology, and implementation.
  • Provide guidance on the use of SPSS Assist data analysis

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54 Data Analysis Jobs

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2. Data Entry

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high Demand
Here's how Data Entry is used in Statistician jobs:
  • Designed, built, administered various database systems to track organizational performance, including web-based interfaces for data entry.
  • Assisted in design and implementation of automation processes which eliminated time-consuming manual data entry.
  • Designed spreadsheet to minimize imputation and data entry errors.
  • Directed overnight staff of ten people in data entry statistical work before assuming managerial role during daytime in 1994.
  • Consulted with data entry team to ensure data entry and coding conformed to the requirements of the statistical programs.
  • Created and maintained a database for suicide prevention study; supervised and verified data entry.
  • Performed data entry, cleaning and validation for down streaming modeling and analysis.
  • Supervised and organized the receipts and distributions of time sheets for data entry.
  • Develop clinical trial database and data entry interface using SAS 6.06.
  • Cross-checked data entry to validate and improve self-report survey design.
  • Supervised and trained data entry and support staff.
  • Utilize Cyber Sport software for fast accurate data entry.

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3 Data Entry Jobs

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3. Statistical Reports

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high Demand
Here's how Statistical Reports is used in Statistician jobs:
  • Analyzed study data for the preparation of statistical reports for regulatory submission.
  • Balanced accounts, processed correspondence and reports, collated pertinent statistical reports.
  • Assist creating statistical analysis plans and specifications for statistical reports.
  • Provided statistical reports and assisted researchers in publishing results.
  • Developed and implemented new reporting procedures for statistical reports.
  • Prepared statistical reports using track demographic data.
  • Analyzed data and generated statistical reports.
  • Prepared and updated annual statistical reports.
  • Calculated monthly welfare statistical reports.
  • Customized statistical reports were also prepared for senior management, legislative offices, and the Office of the Governor.
  • Develop and maintain statistical reports for special projects for the department and for others outside the department.
  • Prepare statistical reports, charts and tables related to vital statistics and other public health statistics.
  • Compiled statistical reports on survey data, including analysis of responses by gender and various questions.
  • Calculated statistical reports and projected annual costs and case loads for state government.
  • Prepared detailed monthly and yearly statistical reports of the claim and Insured.
  • Interpreted and wrote the statistical reports of the analytic patient profiles.
  • Created statistical reports for Church Administrator/Employees using Excel spread sheets.
  • Emailed various statistical reports to Church Administrator/Employees each month.
  • Recorded, analyzed, and delivered statistical reports Utilized a highly efficient statistical software program
  • Prepared and analyzed statistical reports Managed list rentals and prepared print orders Designed and entered data on worksheets on a computer

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4. Logistic Regression

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high Demand
Here's how Logistic Regression is used in Statistician jobs:
  • Evaluate marketing strategies using cutting-edge statistical methods such as cluster analysis, classification using logistic regression, and analysis of variance.
  • Conducted statistical analyses with SAS program: generate descriptive statistical summary, categorical analyses, logistic regression etc.
  • Develop evidence-based methods for evaluation of inmate programming, including logistic regressions and propensity score analysis.
  • Use logistic regression modeling for risk analysis and evaluation of prohibited and restricted importations.
  • Conducted descriptive and logistic regression analyses using SAS to analyze and interpret results.
  • Developed a Logistic Regression Model that created a better/efficient University recruitment process.
  • Build Segmentation Models for Target Marketing using Discriminant Analysis and Logistic Regression.
  • Design, develop and maintain logistic regression models for Genome-wide association study.
  • Used Logistic Regression to estimate student s success rate in completing an undergraduate degree within the standard four years.
  • Identified the most profitable segments for direct marketing with analysis, including decision tree modeling and logistic regression.
  • Led team of interns in development of logistic regression model suite for presence of undocumented medical conditions.
  • Conducted model selection, ordinary linear regression and logistic regression to find the most effective predictors.
  • Provided statistical support in areas of Survival Analysis, Mixed Modeling, and Logistic Regression.
  • Focus on risk ratios, odds ratios, confounding, effects modification and logistic regression.
  • Used Logistic regression to predict whether a test can pass the industry testing criteria.
  • Used logistic regression, paired t-tests, Fisher s exact test.
  • Used logistic regression to develop equations to improve mailing response rates.
  • Make use of linear and logistic regression to build models.
  • Utilized logistic regression model to explore the relationship between color measurements and second person noticeability of tooth whitening.
  • Use SAS to generate statistical results, including univariate and multivariate analyses, such as logistic regression and proportional hazards regression.

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49 Logistic Regression Jobs

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5. R

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high Demand
Here's how R is used in Statistician jobs:
  • Provide information and statistical analysis and support to the Plant Quality Engineering and Manufacturing Departments to control and improve quality levels.
  • Transformed massive census databases into marketable knowledge products useful for home buyers and researchers
  • Designed and produced capacity development training materials and the workshop final report.
  • Published paper on market affinity analysis.
  • Promoted from consultant position below.
  • Assist the VP of Planning on information required by other departments, office, and private companies.
  • Provide statistical assistance in setting up sampling plans for evaluation of new products and amended processes.
  • Resolve and follow up daily issues of information required by other office and departments.
  • Implemented Market basket solution in the SAS Banking Solution for use in business applications.
  • Upgrade once a week the admissions and sections data on the data server.
  • Analyze all the information collected of UMET to prepare the yearly Fact Sheet.
  • Provide assistance to division personnel on a day-to-day basis for routine activities.
  • Initiated modeling of possible discriminating cases for data up to late 2011.
  • Provide information required from high functionaries in SUAGM.
  • Derived full reporting and alert method for managers.
  • Assist with and support team needs.
  • Record player statistics for all games.
  • Visualized the overall donation trends from 2000 to 2014 in different perspectives and identified when and where the company lose donations.
  • Designed slides and gave vivid presentations to both people from the company and faculty members in our departments.
  • Conducted statistical analysis to the donation trends data and helped the company figure out where they lose donations.

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6. Data Collection

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high Demand
Here's how Data Collection is used in Statistician jobs:
  • Implemented procedures to optimize data collection and analysis across business units to include continuous feedback to upstream process business owners.
  • Experience in reviewing data collection methods and determining sample size requirements to verify accuracy and proper allocation of methodology logic.
  • Developed and implemented data collection systems and other strategies that optimize statistical efficiency and data quality.
  • Completed data collection using SAS in early stage formulation and manufacturing unit process development.
  • Developed data collection reports and data cleaning programs by adhering to programming standards.
  • Gathered business requirements to develop IT solutions for data collection software.
  • Implemented data collection and prepared documents for data entry.
  • Managed data collection for various agricultural surveys.
  • Designed four web survey instruments for the Department of Education, all of which are in current production for data collection.
  • Transition of major monthly index to probability sampling by industry including sample design, sample selection and data collection training.
  • Planned data collection methods for specific projects and determine the types and sizes of sample groups to be used.
  • Assist in all data collection and analysis operations; test instruments and assist respondents with questions or technical problems.
  • Survey design: planning, questionnaires, sampling, data collection, data weighting, and result analysis.
  • Proposed statistical analysis plan, study design, and sample size calculations along with data collection sources.
  • Worked directly with data collection, analysis, and presentation for internal and external audiences.
  • Service Awards: Cited for Innovation in data collection, reporting and customer service.
  • Research, writing, editing, web development, data collection and preparation
  • Improved the accuracy of data collection by instructing nationwide research training.
  • Conducted supervision of data collection, records management to ensure validity, & literature review.
  • Coordinated socio-economic & Demographic surveys and censuses data collection including DHS.

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3 Data Collection Jobs

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7. Sas/Sql

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high Demand
Here's how Sas/Sql is used in Statistician jobs:
  • Compiled statistics and created detailed reports and graphs for management and customer review using SAS/SQL, SAS/MACRO and SAS/GRAPH.
  • Create variety of report using SAS/SQL for Health Equity data (HSA Account).
  • Utilized SAS/SQL to manage complex survey data from online databases.
  • Developed SAS/SQL programs to provide statistical support for various projects.
  • perform data queries on SQL databases using SAS/SQL.
  • lead data quality control tasks and train junior team members QC SQL relational databases using SAS/SQL.

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8. Statistical Methods

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high Demand
Here's how Statistical Methods is used in Statistician jobs:
  • Implemented modern statistical methods into manufacturing operations, including statistical process control, design of experiments and time series analysis.
  • Evaluated the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
  • Developed and delivered training and statistical methods for process optimization, validation and control, structured problem-solving and project management.
  • Researched, developed and implemented statistical methods for analysis of longitudinal studies with missing data.
  • Determined and implemented proper statistical methods to evaluate data and report on key findings.
  • Implemented quality systems with statistical methods for process optimization and validation.
  • Adapted statistical methods in order to solve specific problems in economics
  • Developed statistical methods for an EPA-sponsored epidemiological studies.
  • Perform statistical methods and conducts complex analyses.
  • Developed an understanding of fields to which statistical methods are to be applied to determine whether methods and results are appropriate.
  • Trained others in understanding uses of statistical methods and software including programming & analyzing data using PC SAS.
  • Evaluate statistical methods and procedures used to extrapolate data to ensure the integrity and quality of the data.
  • Volunteered to teach and train doctors and staff in applications of statistical methods in the VHA nationally.
  • Advise senior ICE officials and component agencies on the use of advanced statistical methods and techniques.
  • Develop appropriate and create new statistical methods to meet the needs of the studies.
  • Collaborated with state agencies to jointly develop and improve statistical methods and products.
  • Prepare and review statistical methods and appendixes for manuscripts.
  • Provided statistical methods and SAS assistance to researchers.
  • Provide trainings to new statisticians in data management and statistical methods.
  • Applied the statistical methods to normalize the DNA methylation microarray data with R/ComBat to reduce batch effects.

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74 Statistical Methods Jobs

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9. Clinical Trials

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high Demand
Here's how Clinical Trials is used in Statistician jobs:
  • Demonstrated ability to conceptualize research and compile and present relevant statistics for model development and statistical testing specific to clinical trials.
  • Provide epidemiological statistical expertise in research methodology and study design, and analysis plan for observational studies and clinical trials.
  • Developed statistical analysis plans for clinical trials and quality control processes.
  • Support for global skin program & Clinical Trials for experiment design, data analysis to solve Problems.
  • Combined Clinical Trials (Phase 3 & 4) data with marketing data for Global marketing policy.
  • Oversee a SAS programmer's works regarding safety listings and tables from clinical trials.
  • Provided oversight of database management operations for all phase's clinical trials.
  • Helped in assigned statistical tasks on clinical trials, e.g.
  • Attend weekly Clinical Trials Meeting and Medical Research Studies.
  • Phase II Clinical Trials in Alzheimer's disease.
  • Provided statistical services for Phase II-IV clinical trials/studies.
  • Supported clinical trials of animal health division.
  • Provide statistical support for various clinical trials.
  • Performed statistical analyses and generated reports using SAS software on data collected in conjunction with multi-center clinical trials.
  • Provided statistical and study-design support for several multi-center HIV therapy clinical trials.
  • Supported clinical trials Conducted data analysis of epidemiologic data
  • Write specifications for analysis datasets and perform quality control checks on all output for clinical trials.
  • Collaborated with pharmaceutical companies in support for their Phase IIB/Phase 3 clinical trials via companiondiagnostics.

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2 Clinical Trials Jobs

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10. Spss

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high Demand
Here's how Spss is used in Statistician jobs:
  • Developed Racial Identity-affirming aspects of Aspiring Eagle Scholars Program as well as statistical analysis of dependent variable data using SPSS.
  • Developed advanced statistical analysis using SPSS on quantitative and qualitative data
  • Performed Time Series Analysis using SPSS and R to make data-driven suggestions on how to adjust current software platform.
  • Managed and performed statistical analysis on the database from the Breast Cancer Prevention Program (in SPSS).
  • Utilized SPSS to process large amounts of data and performed qualitative and quantitative data analysis and reporting.
  • Prepared materials such as PowerPoint presentations, Word documents, Excel spreadsheets and SPSS data files.
  • Completed statistical programming and analyses on a UNIX workstation using SPSS and other statistical programs.
  • Use of statistical programs such as IBM SPSS for quantitative statistical analysis.
  • Assisted with SPSS database programming, data entry, & analysis.
  • Used SPSS Answer Tree to map decision flow of models.
  • Produce statistical data by using SPSS software.
  • Trained research assistants to use SPSS.
  • Analyze large amounts of data in programs such as SAS, SPSS and MS Excel.
  • Used SAS, SPSS and MINITAB.
  • Test null-hypothesis for finding out critical environment/factors for analyzing death rate of patients Extensive work on SPSS for project completion
  • Used Lacek proprietary time tracking database to design Fox Pro and SPSS programs.
  • Performed statistical analyses using SPSS, SAS for publication in scientific journals.
  • Collected, analyzed and interpreted data using SPSS and Minitab.
  • Developed SPSS and Python scripts to automate the pre merge/purge process which greatly simplified the workflow process and eliminated costly errors.
  • Provide the quantitative analysis section of the trauma center's current and future grant-funding projects Skills Used Statistical modeling AMOS SPSS ArcGIS

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2 Spss Jobs

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11. Data Management

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high Demand
Here's how Data Management is used in Statistician jobs:
  • Provided guidance and statistical consultation within the department on clinical protocols, data management procedures, and clinical studies.
  • Work with clinical study and data management personnel to assure the data quality and accuracy for statistical analyses.
  • Supported data management activities (e.g., review of design and data queries, tracking, coding, and locking).
  • Work closely with data management, investigator and clinical monitor to solve the issues arising from clinical trial.
  • Provide end-to-end data management, including querying, aggregation, analysis, visualization, and communication to clients.
  • Job responsibilities included conducting statistical analyses for cancer- related research using SPSS and STATA, and data management.
  • Created software tools for data management; reduced data table preparation time by over 400%.
  • Designed, wrote, and tested programs to perform a wide variety of data management tasks.
  • Program in MATLAB and UNIX for data analysis and data management, e.g.
  • Work with IT in performing quality control and data management.
  • Produced the Data Management plan.
  • Provided statistical input towards the development of CRFs with data management to ensure data captured consistently and appropriately for evaluation.
  • Reserve Command Soldiers Medical Service Center Data management - collected, analyzed and validated data used for decision making.
  • Analyzed and interpreted healthcare/hospital data in addition to effectively consulting with other staff on various data management issues.
  • Performed data management and statistical analyses of nosocomial organisms in all hospitalized patients.
  • Performed continuous data management consulting Performed Data analysis and interpretation.
  • Created edit check programs to find data discrepancies in raw datasets provided by Data Management Group.
  • Perform data management of large datasets using SAS.
  • Multi-centered clinical trial of Hepatitis C. Was involved in several data management tasks and creation of analysis datasets.
  • Prepare client reports including tables, listings and figures for Data Management Committee, verify and test client reports and deliverables.

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8 Data Management Jobs

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12. Experimental Data

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high Demand
Here's how Experimental Data is used in Statistician jobs:
  • Used R language to build model to organize & analysis new-drug experimental data.

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13. Statistical Models

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high Demand
Here's how Statistical Models is used in Statistician jobs:
  • Gain in depth understanding of basic principles of population estimation and execute statistical models in order to manipulate outcomes for clients
  • Developed more than 100 statistical models to predict response, conversion and average-order for direct mail and telemarketing promotions.
  • Coordinated data mining efforts among data analyst contractors, in order to build and validate predictive statistical models.
  • Designed innovative statistical models to identify aberrant Medicare providers across all task orders.
  • Contributed to definition of statistical hypotheses, statistical models and model selection.
  • Developed several statistical models for forecasting and analyzing agricultural crop yields.
  • Developed statistical models that assisted in the development of medical policies.
  • Develop statistical models for race performance and pedigree information.
  • Build statistical models with Cluster and Discriminate Analysis.
  • Developed statistical models for the analysis of the probability distribution of the time to onset of drug effect.
  • Used statistical models in analyzing data to predict customer retention rate, increasing sales and forecasting trends.
  • Review, validate and implement statistical models for CMS fraud prevention system 2 (FPS2).
  • Build advanced statistical models, such as regression, clustering, classification and so on.
  • Participate in the design, development, testing and implementation of statistical models for prediction.
  • Use visualization, simulations, and statistical models to analyze and interpret clinical data.
  • Developed statistical models and SAS programs for hospital performance data in a patient registry.
  • Develop and maintain statistical models for estimating fraud rates in pools of residential mortgages.
  • Applied various statistical models to analyze gene expression data.
  • Developed statistical models to predict future motorcycle warranty claims using Excel and Statgraphics.
  • Build statistical models to analyze and predict the co-existence of genetic factors enriched in large scaled DNA sequence datasets.

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6 Statistical Models Jobs

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14. Sample Size

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high Demand
Here's how Sample Size is used in Statistician jobs:
  • Assisted principal investigators in developing study objectives, statistical analysis plan, sample size calculation and data collection procedures.
  • Recommended minimum sample sizes to funding manager to determine differences in supervisor performance.
  • Defined analysis endpoints, statistical methodology and sample size.
  • Sample size calculation for several Phase II studies planned in the CDP (Clinical Development Plan) in an oncology study.
  • Appropriate tests for small sample sets, sample size and power determination, ROC, sensitivity, and sampling plans.
  • Support sample sizes calculation and trials designs: superiority/non-inferiority designs, one arm and two arms trials.
  • Design (including sample size estimation) and analyze sample surveys related to public health problems.
  • Sample size calculations that minimize cost for a given amount of power and precision.
  • Carried out sample size estimation based on pilot studies, and available literature.
  • Provided sampling protocol and addressed issues of sample size for IRB submission.
  • Implemented a test phase project to lower sample size on metered homes.
  • Consulted with project leaders to determine sample size and brand representation.
  • Obtain sample sizes for two different studies.
  • Calculated sample size for anger and anxiety grant proposal that was funded; Used propensity matching to select non-childbearing matches.
  • Experienced with data mining and statistical principles such as sample sizes, statistical significance, inferences, and transformations.
  • perform study randomization, calculate sample size and time for interim analysis.
  • Implement PMDA sample sizes calculation in multi-region clinical trials.

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9 Sample Size Jobs

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15. Volleyball

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average Demand
Here's how Volleyball is used in Statistician jobs:
  • Compiled live statistics for baseball and softball teams* Recorded live statistics for lacrosse, field hockey, volleyball, and basketball teams
  • Served as the Division I women's volleyball statistician and data analyst, video operator, and communications manager
  • Occupied a position as a statistician working with the male and female teams both in basketball and volleyball.
  • Documented stats during volleyball matches -Provided team with a game log after matches -Displayed and Tallied scores during matches
  • Worked on press row for women's volleyball, men's and women's basketball.
  • Volunteered and kept stats for every men's varsity volleyball game for two years
  • Attend women's volleyball games and keep status points on each player.
  • Designed two computer programs: one for volleyball and one for basketball.
  • Addressed issues between referee, coaches and players of Basketball and Volleyball.
  • Managed scores and activities for volleyball and basketball.
  • Collect volleyball plays for teams and fans.
  • Work the BYU Men's Volleyball home games.
  • Recorded Statistics for Furman University Women's Volleyball Team
  • Recorded statistics for the live stat feed at Westmont College athletic events (basketball, baseball, soccer, volleyball)
  • Assisted with basketball, football, and volleyball teams at Guilford Technical Community College and Winston-Salem State University.
  • Assisted with directing Intramural Sports Programs including: basketball, football, volleyball and ultimate frisbee.
  • worked closely with the Athletic Department and the women's volleyball as an electronic statistician
  • Keep stats for the volleyball team Help the team both on and off the court
  • Called stats for Trine's volleyball, basketball, lacross and soccer teams.

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16. Research Projects

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average Demand
Here's how Research Projects is used in Statistician jobs:
  • Act as consultant for several performance improvement, evidence-based and research projects and advise Investigators on appropriate statistical methodology.
  • Document statistical methodology used in a variety of research projects.
  • Developed proposals and designed questionnaires for large-scale market research projects.
  • Design and implement research projects related to felony sentencing.
  • Provide statistical analysis and consultation for econometric research projects.
  • Perform and report statistical analyses for clinical research projects.
  • Managed Customer database to support Market Research projects.
  • Designed, directed, and reported on research projects and special studies for the APICS and Landscape Architecture programs.
  • Served as a key team member of clinical research projects - from the grant application to the publication.
  • Provided supporting analyses to ongoing research projects for inclusion in the development of the organization's strategic plans.
  • Contributed to the design and analysis of environmental health research projects.
  • Tracked data for multiple research projects.
  • Performed data collection, cleaning, analytics, and reporting for multiple clinical research projects conducted by medical staff.
  • Applied valid scientific methods in the design of research projects to structure uncompromised and efficient analyses of data.
  • Collaborated with coworkers and faculty members on research projects surrounding access to healthcare and human health outcomes.
  • Collaborated on high-value Agency research projects in genomics, metabolomics, epidemiology, toxicology, and systems biology.

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3 Research Projects Jobs

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17. Anova

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average Demand
Here's how Anova is used in Statistician jobs:
  • Used SAS to analyze a complex ANOVA model with nested and random effects with insertion loss as the response.
  • Developed SAS macros as tools for subgroup analysis (categorical, ANOVA/MMRM/survival).
  • Contracted to perform Repeated Measures ANOVA for dissertation project.
  • Used SAS/STAT for statistical analysis like ANOVA.
  • Perform repeated-measure ANOVA and categorial data analysis for case-control study of clinical trial's data.
  • Apply statistical techniques and descriptive statistics, such as skewness, sampling error, correlation, ANOVA, and residual analysis.
  • conduct various statistical analyses including t-test, correlation, ANOVA, multiple regression and logistic regression, etc.
  • Performed common statistical tests like T-Test, Chi-square test, Analysis of Variance (Anova) etc.
  • Provide statistic analysis using Proc ANOVA, Proc GLM.
  • Conducted regression analysis modelling for Single Cell Analysis METHODOLOGY USED / IMPLEMENTED ANOVA, Statistical Data Mining, Bandit algorithms.
  • Apply advanced statistical techniques for existing and on-going research projects including ANOVA/ANCOVA for crossover trial analyses with time dependent covariates.

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18. Basketball Games

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average Demand
Here's how Basketball Games is used in Statistician jobs:
  • Input statistical data during basketball games Activities
  • Operated the game clock and took live statistics as well as supervised the area for Nike Swoosh summer AAU basketball games
  • Spot for the university's computerized statistics operator during football games and men's and women's basketball games.
  • Work in a fast-paced environment with several media outlets covering college and professional football games and college basketball games.
  • Keep score for recreation league basketball games Keep game statistic for individual players Prepare gymnasium for team games
  • Worked basketball games and kept statistics and clock for basketball leagues for sports & fitness club
  • Provide IT setup and game day statistics for all NBA Orlando Magic home basketball games.
  • Worked at the scorers table during basketball games recording basketball game stats.
  • Keep statistics during both men's and women's basketball games.
  • Served as public address announcer for football and basketball games.
  • Job Duties: Score Basketball games and Supervise children.
  • Recorded statistics for Men's Basketball games.
  • Keep the book and records for the Men's basketball games, Send mail outs, Set up for events.
  • Managed and maintained statistical records for AAU Basketball games at the Capital Sports Complex Managed concessions operations and operated the cash register
  • Provide statistics for television talent and production crews for Major League Baseball, National Hockey League and college basketball games.
  • Recorded player statistics at women's volleyball games Managed game clock at women's and men's basketball games
  • Key Results: * Keep play by play stats for all Men's and Women's home basketball games.
  • Recorded the scores of the basketball games Validated the plays of each player Ran the play clock
  • Operate the scoreboard Record/Calculate Stats Referee of basketball games Other duties as assigned.
  • Gather stats for basketball games (ie: points, rebounds, steals, blocks etc .)

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1 Basketball Games Jobs

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19. Survey Data

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average Demand
Here's how Survey Data is used in Statistician jobs:
  • Survey data was collected regarding preference rank ordering of product stimuli alternatives consisting of various combinations of chosen product attribute levels.
  • Conducted surveys, processed and analyzed survey data, proposed estimate recommendations, and disseminated information.
  • Performed statistical quality checks on survey data, designed to insure data validity and reliability.
  • Created customer retention model by using survey data combined with several statistical methods.
  • Analyzed survey data for internal reporting as part of new initiative monitoring.
  • Performed customer satisfaction analysis of survey data by using SAS.
  • Analyzed and reported on demographic and behavior survey data.
  • Entered summarized survey data for publication.
  • Devised methods and procedures for obtaining survey data by telephone, personal or mail interview surveys to assess consumer preferences.
  • Developed sample design and sample selection method, reviewed and edited survey questionnaire, and coordinated survey data analysis.
  • Led regression analyses of National Addictions Workforce Survey data using weights to generalize to the national population.
  • Interpreted survey data and attained meaningful conclusions from small sample data sets while still maintaining accuracy.
  • Create and apply marketing segmentation systems with customer data and survey data.
  • Performed data management for the creation of permanent survey data sets.
  • Collect and edit survey data.
  • Utilized National Health and Nutrition Examination Survey data to find a strengthening of the relationship between fish consumption and perfluorochemical concentrations.
  • Analyze and/or participate with higher graded statisticians in the analysis of summarized survey data and analytical comments.
  • Cleaned survey data and validated analysis datasets.
  • Administered online surveys * Cleaned and imputed survey data to be analyzed.
  • Reviewed survey data for data outliers and accuracy.

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3 Survey Data Jobs

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20. Survival Analysis

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average Demand
Here's how Survival Analysis is used in Statistician jobs:
  • Developed reliability assessment program for industrial equipment, applied survival analysis statistical modeling to both hardware and software failures.
  • Utilized statistic methods which included: regression/prediction/survival analysis, trend test, logistic/simple regression, and risk factor.
  • Planned analyses include mixed models, survival analysis, and structural equation modeling.
  • Collected and synthesized members' literature reviews and wrote the survival analysis proposal.

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8 Survival Analysis Jobs

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21. Statistical Techniques

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Here's how Statistical Techniques is used in Statistician jobs:
  • Prepare reports of local area and/or statewide estimates for employment using statistical techniques and trend projections.
  • Analyzed and interpreted large data sets using statistical techniques such as general linear models
  • Used predictive statistical techniques to uncover potentially fraudulent provider and facility behavior.
  • Developed new statistical techniques and algorithms to improve analysis effectiveness 4.
  • Cleaned and managed data using quantitative methods and statistical techniques.
  • Applied statistical techniques in analyzing demographic data.
  • Developed methods for inspection, testing and analysis using statistical techniques for Gas Producer support cell.
  • Compile, verify, and analyze wages, industry employment trends, using statistical techniques.
  • Projected annual district tax targets employing required statistical techniques for the various tax types.
  • Access business needs and select optimal statistical techniques to apply for best results.
  • Validate the results of surveys and investigate potential errors through statistical techniques.
  • Communicate results to the clients with interpretation of statistical techniques.
  • Trained analysts on software and statistical techniques.
  • Analyzed large datasets using statistical techniques such as general linear and mixed models, propensity matching.

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22. Study Protocol

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Here's how Study Protocol is used in Statistician jobs:
  • Reviewed and contributed to study protocol and experimental design development globally.
  • Reviewed Study Protocols, Clinical Statistical Reports and Statistical Analysis Plan.
  • Helped writing statistical sections of clinical study protocols.
  • Reviewed and provided language and comments on the statistical analysis for more than 30 study protocols.
  • Collaborated with colleagues to design, implement and analyze study protocols.

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1 Study Protocol Jobs

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23. FDA

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Here's how FDA is used in Statistician jobs:
  • Reviewed FDA guidelines and analyzed data accordingly.
  • Support FDA request for statistical issues: propensity score, exact test, and gender difference and so on.
  • Provided input and assist in writing FDA/regulatory submissions, package inserts, and design records.
  • Provided statistical support for FDA submissions, conference abstracts, and marketing materials.
  • Assisted Clients in streamlining and optimizing the reporting for an FDA submission.
  • Generate tables, figures and listings for FDA submission.
  • Attend FDA/Industry workshop to develop statistical method.
  • Assist regulatory affairs with FDA submissions.
  • Created transport files for FDA submissions.
  • Well versed with FDA 21CFR Part 11 and ICH GCP guidelines.
  • Associate Senior Statistical Analyst Provided support for four FDA submissions and other regulatory responses.
  • Designed a phase III trial for the investigation of a chemoprotectant and presented these designs before an FDA panel of oncologists.
  • Tracked monthly accomplishments for numerous FDA inspection programs such as Pre-approval and Food Safety inspections.
  • Provided TLG for submission, FDA requests, and ad-hoc analysis.
  • Developed strategies for Salmetrol studies for negotiating with the FDA.
  • Observed cGMP and FDA guidelines.
  • Interact (in-person, paper) with FDA (CDRH) in regards to 510(k) submission queries.
  • Created SAS reports using the Data _Null_ technique and Proc Report for NDA submission as per FDA regulations and company standards.
  • Created FDA reports such as NDAs and INDs.
  • Institutionalized (under FDA regulation), multiple weekly DMAiC-Kaizen events needed to reduce process change lead-time.

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24. Data Warehouse

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Here's how Data Warehouse is used in Statistician jobs:
  • Assisted with implementation Data Warehouses.
  • Retrieved Structured Query Language (SQL) information from internal data warehouse and organized data using MS Excel and Pivot Tables.
  • Utilized the Office of Research and Statistics Data Warehouse to provide historical medical data for medical record abstraction.
  • Managed the SC Department of Education data systems and other SC Data Warehouse systems as assigned.
  • Converted CDR records into a SQL Server Data Warehouse using DTS and ETL transformations.

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25. Medicare

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Here's how Medicare is used in Statistician jobs:
  • Served as a Statistician investigating medicare fraud in support of Federal Law Enforcement.
  • Set up and maintain Medicare Beneficiaries Satisfactory Monitoring System for Case Review.
  • Analyze and report Medicare Supplement Demographic Pool and Refund Calculations.
  • Provide project management for St. Vincent Hospital, 800 Medicare service, and AdminaStar Federal (health care) services.
  • Reduced physician fraud and procedure code abuse for projected savings to the Medicare program of $334M per year.
  • Worked closely with the U.S. Department of Health and Human Services and the Office of Medicare Hearings and Appeals.
  • Conduct in-depth statistical analyses of the data based on an understanding of the Medicare program.
  • Set up and maintain Medicare Claim Data Mining Utility.
  • Design and develop Medicare Part D reports.
  • Developed SAS programs to summarize Medicare data.
  • Manage data sets with millions of records (e.g., Medicare, VA, SIDS, NIS).
  • Calculate Medicare overpayments to providers amounting to millions in potential HHS recovered funds by using stratified sampling techniques.
  • Saved CMS over $2 million/year identifying provider fraud by mining large Medicare claims data using SAS Enterprise Miner.
  • Key Contributions: Identified Medicare overpayments of $500,000.
  • Key Contributions: Identified Medicare overpayments of [ ] Managed and mentored a team of data analysts.

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26. Powerpoint

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Here's how Powerpoint is used in Statistician jobs:
  • Created presentations using PowerPoint and gave presentations to highlight Texas immunization data.
  • Updated statistics and trend illustrations in PowerPoint presentations for quarterly Division meetings.
  • Prepared and presented analysis results using Excel dashboard and PowerPoint.
  • Presented results with reports and PowerPoint; Wrote or reviewed method manuscripts for papers and grants.
  • Assisted manager to present and explain results by using PowerPoint.
  • Present monthly report to Quality Improvement Committee in PowerPoint.
  • Presented data and results in Excel and PowerPoint.
  • Used PowerPoint to show the reports.
  • Created prospects/customers profile and produced deliverables like one-page insights, PowerPoint presentations, as well as speaking engagements.
  • Use Microsoft Office (Excel, Word and Powerpoint) to generate reports of the statistical results generated from SAS.
  • Performed peer reviews which include reviewing code, confirming accuracy of results Skills Used SAS,EXCEL,POWERPOINT,R
  • season Common Programs: Excel, Outlook, Powerpoint, and Word

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27. Medicaid

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Here's how Medicaid is used in Statistician jobs:
  • Validate data analysis results and analytically identify potential fraud, waste and/or abuse situations in violation of Medicare/Medicaid laws and regulations.
  • Research specific regulatory and industry information regarding Medicare and Medicaid to support statistical analysis.
  • Developed proactive studies to determine Medicare and Medicaid fraud within our jurisdiction.
  • Validated Medicaid pay-for-performance calculations for enterprise hospitals.
  • Calculated NHIC's error rates used by CMS (Centers for Medicare and Medicaid Services) to evaluate contractor performance.
  • Led intensive data mining on Arkansas Medicaid claim database to provide AFMC Management Team and Arkansas Medicaid actionable information.
  • Provided various summaries for analysis requests from the Center of Medicare & Medicaid Services (CMS).
  • Designed and maintained the MD Medicaid module of the Human Immunodeficiency Virus Information System (HIVIS).
  • Provided the SUR department with statistical support to identify, sample, and audit Indiana Medicaid providers.
  • Involved having knowledge of Medicare and Medicaid as well as programming skills in COBOL and SAS.
  • Implemented the different methodologies suggested by the Medicaid Clinical team and presented the reports.
  • Created and implemented scripts in SAS for Medicare and Medicaid data claims.
  • Performed analysis of Medicaid usage in the State of Indiana.
  • Worked intimately with billions of Medicare and Medicaid claims.
  • Analyzed Medicaid data based on HEDIS measurement.
  • Work with nation/state wide healthcare/insurance database including Medicare, Medicaid, SEER-medicare, TCR-Medicare linked database.
  • Prepared algorithm logic to identify potential Medicaid overpayments.
  • Compiled, keyed and edited statistical data for Medicaid recipients, eligible and expenditures using DBase and Lotus 1-2-3.
  • Make sure individuals who are entitled to Medicare and Medicaid, receive their benefits.
  • center for Medicaid and Medicare).

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28. Predictive Models

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Here's how Predictive Models is used in Statistician jobs:
  • Perform independent model validation and documentation of newly-developed predictive models to ensure good modeling practices and compliance with Model Governance Policies.
  • Build predictive models to drive improvements in promotional effectiveness of target marketing programs.
  • Construct predictive models for customer retention.
  • Created predictive models to determine role of student satisfaction drivers on likelihood to donate money and to refer prospective students.
  • Used SAS to build logistic/OLS predictive models for product performance and customer behavior to reduce costs and increase revenue.
  • Generated predictive models to improve the estimates on the amount of time needed for developing and testing of programs.
  • Used advanced SAS programming in the development of predictive models which maximize direct mail and outbound telemarketing efficiency.
  • Utilized production environment to build over 30 predictive models per month, for over 10 clients.
  • Build predictive models using SAS Enterprise Guide -Evaluate statistical validity of models and design methods
  • Research and develop predictive models for live-concert ticket sales and revenue.
  • Developed software for Data Mining and Predictive Models.

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6 Predictive Models Jobs

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29. Game Statistics

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Here's how Game Statistics is used in Statistician jobs:
  • Tracked and reported individual game statistics and imported into excel.
  • Communicated with media outlets including, radio, newspaper and television to inform of final game statistics.
  • Report results of game statistics, including information in the form of box scores and shot charts.
  • Track in-game statistics which include: shots on goal, scoring chances, hits, etc.
  • Assisted Nike Elite Youth Basketball League with in-game statistics for its 2011 tournament.
  • Supplied game statistics for all Old Dominion men's basketball home games.
  • Tracked in-game statistics for former ESPN analyst Jimmy Dykes during live broadcast
  • Record game statistics including: game scores and play by plays.
  • Compiled game statistics for the 76ers Radio Network Broadcasts.
  • Recorded on in game statistics for all home games.
  • Noted official game statistics related to league play.
  • Recorded game statistics and sent results to newspapers.
  • Administered work studies program and guided participants Provided computerized game statistics in StatCrew database and communicated statistics to media outlets
  • Record organized game statistics for nationally televised Red Sox games.
  • Interpreted real game statistics and transferred them into a new data serve Made requests for final game statistics and standings
  • Record regular in game statistics (Goals, Shots, Turnovers, Faceoffs, Blocked Shots etc.)
  • Travel with team to manage playbook and act as official score keeper Manage home and away game statistics
  • Assisted in the collection of game statistics Provided field assistance during home games
  • Input game statistics for college and intramural sports Create excel sheets for athletic director inventory management for teams.
  • Recorded in-game statistics for Bethel's Football and Hockey teams Provided statistics to coaches as requested

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30. Analyze Data

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Here's how Analyze Data is used in Statistician jobs:
  • Utilize various statistical packages to analyze data and create formal reports and recommendations to drive improvement.
  • Utilized primarily linear mixed models to analyze data and performed transformations on clinical chemistry measurements.
  • Designed and implemented a comprehensive Excel spreadsheet to catalog and analyze data about opposing teams.
  • Analyze data for research objectives using appropriate statistical and mathematical techniques.
  • Conduct researches, collect, analyze data and present results of researches to appropriate audience.
  • Gather, organize, and analyze data to be published for the agricultural community.
  • Extracted and analyze data from corporate, government and private sector financial statements.
  • Assist Research student to analyze data using different statistical methods in SAS.
  • Design studies and analyze data to support post market studies.
  • Used SPSS to analyze data and predict growth and retention.
  • Analyze data and provide statistical support to FSIS initiatives.
  • Used statistical software including SAS to analyze data.
  • Analyze data regarding donations made to the University.
  • Utilize SAS programming to analyze data.
  • Used SAS to analyze data.
  • Analyze data from the master database using advanced excel techniques (vlookup, logical statements, etc.)
  • Organize data, clean data, and transfer files into SPSS Analyze data using univariate statistical analyses
  • Enter and analyze data from course surveys to evaluate future government programs.
  • Utilized computers with specialized statistical software "SPSS and Excel" to analyze data.

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31. Ncaa

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Here's how Ncaa is used in Statistician jobs:
  • Updated scores and stats in real-time for Major League Baseball, National Football League, NCAA Basketball and NCAA Football.
  • Input the statistics into a live feed for regular season and NCAA Tournament
  • Collect sports data and statistics for NCAA football and Major League Baseball.
  • Take official NCAA statistics for Hawaii Pacific University.
  • Recorded statistics for the wrestling team during competitions Accurately entered data into an online NCAA comparative database
  • Network Television Broadcasts Statistician for CBS Sports during NFL and NCAA College Football seasons.
  • Broadcasted the 2016 NCAA Men's Ice Hockey National Championship
  • Tackle charts NCAA redshirt participation list Participation list of players during each game

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32. Regression Analysis

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Here's how Regression Analysis is used in Statistician jobs:
  • Interpolate missing genetic data to perform a specialized regression analysis called a Genome Wide Association Study.
  • Performed regression analysis to predict the number of referrals expected.
  • Developed Models of correlation-regression analysis of economical dynamic data.
  • Performed regression analysis on component level testing data.
  • Analyzed sales data using statistics regression analysis.
  • Developed the statistical comparisons, regression analysis, and design of experiments courses for the Design for Six Sigma program.
  • Perform regression analysis (linear, logistic, cox regression, polynomial regression, etc.)
  • Analyzed state by state regression analysis.
  • Prepare crop and livestock forecasts using regression analysis Use SAS to summarize and create agricultural reports.
  • Utilize statistical methods such as regression analysis (eg.

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10 Regression Analysis Jobs

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33. Sas/Stat

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Here's how Sas/Stat is used in Statistician jobs:
  • Generated statistical analysis files, summary tables, listings and graphs using SAS/BASE, SAS/MACROS, SAS/GRAPH and SAS/STAT.
  • Experience in using SAS/STAT for data modeling and predictions.

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34. JMP

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Here's how JMP is used in Statistician jobs:
  • Used data-mining techniques to effectively target students for services using JMP Statistical Software.
  • Perform multivariate analysis on ingredient data for R&D using different statistical packages, including JMP.
  • Performed extensive analysis of all NC K-12 student demographic and fitness data using JMP Statistical Software.
  • Created JMP scripts to help visualize simulations from a model of process experiment in higher dimensions.
  • Provided statistical guidance and data validation to management and engineers using SAS, JMP and Excel.
  • Implement and maintain the effectiveness of the quality system using R, JMP and SAS.
  • Developed JSL (JMP Scripting Language) scripts used for analysis of process data.
  • Provided major support for questions regarding the JMP Scripting Language (JSL).
  • Analyzed extreme outputs of experimental tests for formulation chemists with JMP.
  • Provided primary support for several statistical platforms in JMP.
  • Created usage notes to publish on external JMP website.
  • Provided support for JMP Statistical Software from SAS.
  • Employed strong SAS programming skills and experienced with other statistical software such as R, CART, TreeNet and JMP.
  • Completed rigorous analysis of survey data in SAS, MATLAB, R, JMP, Stata, and Excel.
  • Created and delivered Statistics and software (JMP, Statistica) training classes to engineers.
  • Develop and conduct training on exploratory data analysis using JMP, Statistica and Discoverant.

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2 JMP Jobs

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35. Process Control

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Here's how Process Control is used in Statistician jobs:
  • Managed process control systems and tool matching projects and established methodologies for entire virtual factory network.
  • Developed quality control courses and automated statistical process control charts used to analyze missile test data.
  • Developed and presented internal training programs in statistical process control to all levels of management.
  • Assist Process Control engineers in design/development of manufacturing trials and perform statistical analysis of results.
  • Completed certified Safety officer Training course and a Statistical Process Control and Diagnosis Course
  • Established statistical process control system for electronic manufacturing resulting in significant quality improvements.
  • Developed statistical process control methodology for multiple customer complaint and service monitoring programs.
  • Designed, developed and modified SAS Programs to analyze process performance data for all product line and for process control/cost activities.
  • Attended classes to learn about Sigma Six Compliance, implement Statistical Process Control (SPC) and review process control documents.
  • Reduced quality control expense in coding system by $5Mil by implementing automation and statistical process control to data coding process.
  • Developed statistical tools in conjunction with automation (IT) team members to streamline analyses for process control.
  • Use SQL reporting tools and statistical process control software to audit clinical data and generate quality assurance reports.
  • Introduced a cutting-edge process control system to the company, reduced the process variation by 50%.
  • Worked with programming resources to define requirements for real time process control systems specific to Sort.
  • Lead tester for statistical process control software and provided training and support for end-user issues.
  • Created Process Control activity for areas which had not used it before.
  • Created SAS based systems which introduced process control to Wafer Sort.
  • Consulted engineers in DOE, modeling, sampling and process control.
  • Have experience in doing Statistical Process Control for the manufacturing.

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36. Statistical Information

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Here's how Statistical Information is used in Statistician jobs:
  • Completed financial statement of the firsts half 2015 by statistical information management system and national treasury centralized payment online declaration system.
  • Prepare presentations to Executive Committee regarding analysis of statistical information for routes to be close and to open
  • Relayed statistical information to announcers in a fast-paced environment to enrich commentary delivered throughout live telecasts.
  • Assisted production personnel with statistical information used in creating in-game television graphics.
  • Respond to daily public and staff requests regarding statistical information.
  • Develop and retain statistical information regarding all aspects of production.
  • Calculated and recorded statistical information on various ski resorts.
  • Maintained accurate statistical information for basketball players.
  • Compiled statistical information for annual report.
  • Record all statistical information pertinent in aiding a television or radio announcer with a live sports broadcast.
  • Created a department to provide statistical information for use in all levels of strategic planning.
  • Research and analyze nursing, physician and direct care staff reports to comprise statistical information.
  • Observe, analyze, and record statistical information for major league scouting service, e.g.
  • Provide National Football League with real-time scoring, statistics, updates and all statistical information.
  • Applied statistical theories to programs for collecting, processing, or presenting statistical information.
  • Assist announcers with statistical information that is used to enhance game telecast.
  • Collect and analyze statistical information into tables, graphics and other.
  • Track statistical information during all home games for the Atlanta Hawks.
  • Provide statistical information during live game time TV and Radio broadcasting.
  • Track and provide statistical information for all on-air talent for Westwood One National Radio Network.

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37. III

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Here's how III is used in Statistician jobs:
  • Produced exploratory graphical analysis and summary statistics of data relative to planned modeling for various pharmaceutical drugs in Phases I-III.
  • Design of Phase III clinical trial protocol and analysis for diabetes type II, supported by NovoNordist.
  • Project Manager and primary statistician on a range of Phase I-III studies conducted by the pharmaceutical industry.
  • Dynamic/fast-paced environment, announcing and recording in-game stats for NCAA Division III Women's Volleyball and Soccer.
  • Recorded defensive statistics for the King's College Football team, an NCAA Division III program.
  • Develop SAS programs to generate efficacy summary tables for Phase I to III clinical studies.
  • Participated in workshops including, Pre-Supervisory Academy VIII 1999, and Train-the-Trainer Workshop 2003.
  • Analyzed Phase III clinical trial data sets using a variety of complex statistical techniques.
  • Designed phase II & III trials for several cancer therapies.
  • Provided statistical support for Phase I-III oncology clinical trials.
  • Design and analysis of Phase II/III HIV/AIDS clinical trials.
  • Conducted ARMS I, II, and III.
  • Designed and implemented Phase I-III neuro-oncology clinical trials.
  • Provided statistical leadership in study design and statistical analysis of Phase III/IV clinical trials for new drug development in neuroscience.
  • Coded, tested and maintained PC-based database applications in dBase III+ and provided user training.
  • Phase III statistical support for Raloxifene (Evista) in treating and the prevention of Osteoporosis.
  • Phase Therapeutic Area / Indication III Metabolic / Diabetes Mellitus II Cardiovascular / Congestive Heart Failure II Renal / Dialysis

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38. Analysis Results

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Here's how Analysis Results is used in Statistician jobs:
  • Participated in experimental design with power analysis of pilot study, and communicated the key analysis results to the Primary Investigators.
  • Generate reports and present model and analysis results * Identify and develop business opportunities; Develop and maintain client relationship.
  • Attended principal investigator meetings to clarify operational definitions of the analysis variables and supported the statistical analysis results.
  • Provide statistical consultation to scientists and communicate the statistical analysis results;.
  • Report and interpret analysis results to collaborators and assist in manuscript writing.
  • Validate and/or review data analysis results.
  • Create complex and reusable SAS Macros for data cleaning, validation, analysis results, report and graphic generation.
  • Presented analysis results to R&D team; improved SAS Macros to generate automated reports/output.
  • Interpreted and visualized analysis results to support scientific publications and presentations Skills Used SAS, SQL
  • Based on the analysis results, listed candidate biomarkers that might be associated with the targeted experimental conditions or disease profiles.

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39. Descriptive Statistics

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Here's how Descriptive Statistics is used in Statistician jobs:
  • Analyze survey data by calculating descriptive statistics.
  • Used descriptive statistics to synthesize and summarize results by organizing final analysis of data in tables.
  • Manipulate data, perform chi-square test of independence, and descriptive statistics using SPSS programming syntax.
  • Produced descriptive statistics using PROC Means, Frequency, Uni Variate and Summary.
  • Provided descriptive Statistics on various States data sets.

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40. Internet

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Here's how Internet is used in Statistician jobs:
  • Provided statistical analysis to accurately track advertiser and user activity on the internet, internationally.
  • Transferred reporting techniques for Internet release and increased reporting status.
  • Conducted statistical research for internet and television users.
  • Manage the internet specifications program for dissemination of eight population and housing unit estimates files throughout the calendar year.
  • Verify universes, invalid values, and consistency among variables and computer and internet concordance codes.
  • Review accuracy of the computer and internet master code list.
  • Provided activity reports for home and work internet users.
  • Access, Excel, Word, Basic, Internet Explorer
  • Recorded game statistics and prepared game film for the varsity football team Submitted statistics to local newspapers and internet sources
  • Use LeagueStat real-time scoring internet application Responsible for tracking puck to accurately report shots, assists, and goals.
  • Broadcasted via internet service for a variety of collegiate sports including soccer, lacrosse, and basketball.
  • Executed advanced analytics for marketing campaigns across catalog, Internet, and retail channels to drive sales.
  • Maintained score of baseball games and uploaded all statistics onto an Internet web site.
  • Contract analytical solutions provider to marketing departments and internet commerce companies.

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41. Large Datasets

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42. Factor Analysis

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Here's how Factor Analysis is used in Statistician jobs:
  • Conducted statistical analysis including sampling, multivariate analysis, factor analysis, time-series modeling, regression and logistic analysis.
  • Utilized reliability and factor analysis to construct meaningful multi-item scales.
  • Conduct factor analysis with socio-economic status measures.

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43. VBA

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Here's how VBA is used in Statistician jobs:
  • Produced written reports of statistical analyses; developed friendly used response evaluation workbook using Microsoft Excel VBA programming.
  • Program with SAS and VBA Excel to generate HELOC portfolio monthly performance reporting, customer segmentation, charge off vintage tracking.
  • Visualized and summarized the final results by VBA in Excel and SPSS before delivering to the client.
  • Have created VBA macros to generate those Excel reports which increased the efficiency and accuracy drastically
  • Relied on for time-critical fixes to VBA scripts used in daily production.
  • Used VBA in Microsoft Excel to import data from a text file (ADO).
  • Assisted s senior statistician with validating data integrity and quality using Hyperion Essbase, Access Database, Excel and VBA programming.
  • Produced downloadable reports to track product sets and their associated SKUs using VBA/Excel, and improved inventory management for purchasing.

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44. Monthly Reports

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Here's how Monthly Reports is used in Statistician jobs:
  • Create monthly reports which summarized basically every performance on manufacturing field.
  • Generated monthly reports for management regarding audits.
  • Distributed monthly reports to U.S. and Canada dealers, marketing programming, and upper level management.
  • Created daily, weekly, monthly reports for management and posted for employees to use.
  • Create and automate monthly reports and statistical analysis reports in RTF using SAS/ODS.
  • Drafted incident reports and prepared weekly and monthly reports.
  • Produced monthly reports for the Board of Directors.
  • Worked with Information Technology (IT) department to automate monthly reports to improve reporting efficiency.
  • Validated data to ensure quality assurance of monthly reports and ad hoc reports.
  • Manage monthly reports Plan weekly meetings & keep minutes Relieve receptionist at the front desk.

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45. Statistical Results

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Here's how Statistical Results is used in Statistician jobs:
  • Develop predictive modeling, analyze and interpret statistical results to explore factors affecting health quality.
  • Present statistical results to the principal investigator from business background.
  • Presented and interpreted statistical results to Actuarial Committee.
  • Compiled and analyzed vast quantities of information to produce comprehensive statistical results of surveys on a variety of topics and industries.
  • Defined and executed analyses and interpreted statistical results from commodity Prices, Yield, and Production Surveys.
  • Verify statistical programs, data sets and statistical results to meet regulatory documents and study plans.
  • Provide up to minute statistical results to on-air talent to share with television viewers.
  • Present statistical results to colleagues from various backgrounds.
  • Guided clients through the interpretation of statistical results.
  • Interpret statistical results and generate field plots book.
  • Worked with consultants to obtain statistical results and provided analytical reports to clients
  • Developed SAS macros for data cut check and customized output of statistical results into pre-defined format in Excel.
  • Prepared and presented statistical results and datasets for analysis in support of mergerinvestigation.
  • Interpreted and presented statistical results in a clear and concise manner and utilized SASserver to efficiently handle very large datasets.

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46. Large Data

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Here's how Large Data is used in Statistician jobs:
  • Conducted data analysis on large data sets, such as cleaning, manipulation and basic statistical analysis in MySQl and Excel.
  • Perform detailed and accurate analyses of large data sets; prepare reports summarizing data and advising management on industry trends.
  • Designed custom R packages from scratch to perform analysis and create informative visuals for large data sets.
  • Managed and manipulated large data sets from the original raw data to clean data usable in analysis.
  • Modified and applied research and statistical methods to the collection and analysis of large data.
  • Gained great knowledge in issues/systems of performance assessment and managing large database systems.
  • Generate SAS code for data manipulation, extraction and quality of large databases.
  • Coded SAS programs and manipulated large data for analysis and report writing.
  • Designed and managed large databases using Microsoft Access and SQL.
  • Maintained and managed multiple large databases.
  • Worked with large data sets.
  • Participated in quantitative research involving manipulation/normalization of large datasets.
  • Analyzed extremely large datasets containing decades of import/export data, mandatory operational and financial reports, and payment histories.
  • Manage and organize large datasets coming from multiple sources.
  • Implemented data cleaning techniques using SAS for large datasets.
  • Mine large datasets to create scorecards.
  • Used regression and predictive analytics to identify possible valid samples within a large dataset.
  • Analyzed the psychometric properties of neurocognitive tests Prepared reports and publications Aided in the management of large databases
  • Develop SAS macros for clinical trail data analysis Provide statistical analysis plan Statistics model validation Manipulate large datasets with SAS

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47. Risk Factors

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Here's how Risk Factors is used in Statistician jobs:
  • Designed and developed risk decomposition framework to identify risk factors in security re- turns to assist optimal portfolio selection.
  • Analyze, monitor, and oversee ticket sales, marketing activities, and risk factors for on sale events.
  • Bootstrap risk factors and estimates of Cox regression for TKA and THA revision survival rates.
  • Determined risk factors of extending credit to a company.
  • Started to draft and prepare a manuscript Bayesian Network Approach to Estimating Direct Hearing Loss Risk Factors with co-authors.

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48. SPC

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Here's how SPC is used in Statistician jobs:
  • Developed SPC methodologies and experiments to maintain high volume manufacturing quality for two of Intel s leading technology semiconductor processes.
  • Created and delivered custom training in Lean, DFSS, Root Cause Analysis, Systems Thinking, SPC, and DoE.
  • Supported engineering in statistical process control (SPC) and design of experiments (DOE) and root cause analysis.
  • Worked with Assembly Training and Development Teams as a Subject Matter Expert on re-engineering of the computer based SPC course.
  • Lead continuous improvement (TQM) and SPC program activities in fab, assembly, and test areas.
  • Train and instruct Managers and Team Leaders on Quality issues, TQM, SPC, etc.
  • Implemented an automated SPC shop floor data acquisition program and the control for 3 plants.
  • Led multivariate SPC studies in injection molding that enabled isolation of problems before affecting quality.
  • Developed procedures to implement Statistical process control (SPC) at the shop floor.
  • Performed training of colleagues and supplier personnel in SPC and Six-Sigma methods.
  • Implemented plant wide SPC program to increase productivity and improve product quality.
  • Implemented SPC program w/production personnel including data collection and chart plotting.
  • Saved $30,000/year through implementing SPC on production line.
  • Improved supplier quality by assisting suppliers with SPC implementation.
  • Conducted quarterly SPC meetings for each process area.
  • Performed training in SPC, Statistics and Mfg.
  • Developed and taught SPC courses.
  • Implemented first Statistical Process Control (SPC) program within Thiokol's Tactical Division in Brigham City, Utah.
  • Conducted SPC classes for production personnel along with compiling course content.
  • Team lead for multi-site SPC Copy Exact initiatives.

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49. Multivariate Analysis

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Here's how Multivariate Analysis is used in Statistician jobs:
  • Conducted multivariate analysis, quantitative methodologies, sampling techniques, experimental design and predictive modeling.
  • Analyzed post injury using MANCOVA and multivariate analysis.
  • Experienced with multivariate analysis techniques.
  • Lead multivariate analysis, results, and edited documents for two federal projects.
  • Conducted statistical analyses using linear regression, multivariate analysis, and stepwise selection procedures to evaluate study hypotheses.
  • Major responsibilities included: Conduct multivariate analysis on consumer data for all fragrance categories including fine fragrance.

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50. Claims Data

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Here's how Claims Data is used in Statistician jobs:
  • Interpret and fulfill requests for claims data, summaries, and reports in a timely and efficient manner.
  • Identified, coordinated and presents analyses on estimated overpayments identified in claims data for different states.

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20 Most Common Skills For A Statistician

Data Analysis

15.9%

Data Entry

10.0%

Statistical Reports

7.5%

Logistic Regression

6.9%

R

6.6%

Data Collection

5.8%

Sas/Sql

5.5%

Statistical Methods

5.5%

Clinical Trials

4.9%

Spss

4.3%

Data Management

3.9%

Experimental Data

3.5%

Statistical Models

2.8%

Sample Size

2.8%

Volleyball

2.8%

Research Projects

2.5%

Anova

2.4%

Basketball Games

2.2%

Survey Data

2.2%

Survival Analysis

2.1%
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Typical Skill-Sets Required For A Statistician

Rank Skill
1 Data Analysis 11.3%
2 Data Entry 7.2%
3 Statistical Reports 5.4%
4 Logistic Regression 4.9%
5 R 4.7%
6 Data Collection 4.1%
7 Sas/Sql 3.9%
8 Statistical Methods 3.9%
9 Clinical Trials 3.5%
10 Spss 3.1%
11 Data Management 2.8%
12 Experimental Data 2.5%
13 Statistical Models 2.0%
14 Sample Size 2.0%
15 Volleyball 2.0%
16 Research Projects 1.8%
17 Anova 1.7%
18 Basketball Games 1.6%
19 Survey Data 1.5%
20 Survival Analysis 1.5%
21 Statistical Techniques 1.5%
22 Study Protocol 1.5%
23 FDA 1.4%
24 Data Warehouse 1.4%
25 Medicare 1.3%
26 Powerpoint 1.2%
27 Medicaid 1.1%
28 Predictive Models 1.1%
29 Game Statistics 1.0%
30 Analyze Data 1.0%
31 Ncaa 1.0%
32 Regression Analysis 1.0%
33 Sas/Stat 1.0%
34 JMP 1.0%
35 Process Control 1.0%
36 Statistical Information 0.9%
37 III 0.9%
38 Analysis Results 0.8%
39 Descriptive Statistics 0.8%
40 Internet 0.7%
41 Large Datasets 0.7%
42 Factor Analysis 0.7%
43 VBA 0.7%
44 Monthly Reports 0.7%
45 Statistical Results 0.7%
46 Large Data 0.7%
47 Risk Factors 0.7%
48 SPC 0.7%
49 Multivariate Analysis 0.6%
50 Claims Data 0.6%
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12,433 Statistician Jobs

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