Statistical Analyst Job Description
Statistical Analyst Duties & Responsibilities
To write an effective statistical analyst job description, begin by listing detailed duties, responsibilities and expectations. We have included statistical analyst job description templates that you can modify and use.
Sample responsibilities for this position include:
Statistical Analyst Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Statistical Analyst
List any licenses or certifications required by the position: SAS, ADVANCED, EMS, CPIM, FRM, SQL, CFA, CLTD, CSCP, APICS
Education for Statistical Analyst
Typically a job would require a certain level of education.
Employers hiring for the statistical analyst job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Mathematics, Economics, Education, Biostatistics, Computer Science, Engineering, Business, Science, Finance
Skills for Statistical Analyst
Desired skills for statistical analyst include:
Desired experience for statistical analyst includes:
Statistical Analyst Examples
Statistical Analyst Job Description
- Build predictive statistical models
- Use your advanced data analytics skills, to mine our Integrated Data Warehouse and analyze our customer behavior across channels, products, and a variety of alternate cohorts
- You will build hypothesis, and then spend your days and mind power working as hard to disprove them as to prove them
- Your hard work will pay off as you build an arsenal of new knowledge that you impart to your peers and leaders across the company
- You will support our strategy development by leading us in new directions by delivering analytical insights and implications through the customer lens
- Help us build out our strategic framework to deliver advanced analytical and data mining solutions to understand key business behaviors such as customer acquisition, cross-sell, member retention, lifetime value, channel preferences, member loyalty, and shopping behavior
- You will partner with cross-functional leaders to leverage customer intelligence to drive and optimize marketing programs, and online and in-store experiences
- You will engage and influence executives & leaders with strategic recommendations based on customer analytics
- Ensures that productivity, quality and timeliness of all projects are accomplished in accordance with agreed-upon timelines
- Assist psychometrician in reviewing data entry specification, variable names, and table mockup, in drafting data analysis specification
- At the minimum must have a Master’s Degree in a quantitative discipline
- Masters degree or higher in Statistics or similar quantitative field of study (Math, Economics, Financial Engineering, Physics, Chemical Engineering, Industrial Engineering, Operations Research)
- Proficiency in English written and verbal communication
- Expert quantitative skills, including data analysis using spreadsheets and statistical packages
- Very effective communication skills, both spoken and written
- Track record of working successfully both independently and with a team
Statistical Analyst Job Description
- Perform statistical programming, data accuracy and quality checks for clinical study databases, and assistance when necessary with Data Management activities and preparation of statistical analysis plans and statistical reports
- Conduct data analysis, such as classic and IRT item analysis, bias analysis, distracter analysis, logistic regression, reliability and validity analysis, factor analysis, equating and vertical scaling, norms development
- Manage statistical analyst group in building of predictive market research models
- Manage projects from a strategic/conceptual perspective – apply concepts creatively
- Attend client meetings to discuss existing and potential studies
- Attend and speak/give papers at trade conferences
- Learn and implement new approaches and techniques
- Work out and continuously improve statistical forecasting methodology
- Test and implement new models in statistical forecasting
- Identify best practices and detect gaps, develop and carry out plans to close the gaps
- Fluent with SAS - At least two years experience with data analysis using SAS
- Must have 2 years of experience in data modelling and data analysis, preferable in financial service industry
- Must have a Master’s degree in Mathematics, Finance, Economics, Statistics or other related quantitative field
- Must have two years of experience in statistical or quantitative analysis positions
- Minimum Bachelor’s, preferably Master’s, degree in statistics or related field
- Experience with survey design and choice modeling (program design through data analysis and simulation)
Statistical Analyst Job Description
- Run statistical analyses using R
- Build and maintain REDCap databases
- Mentor the team in statistical methods
- Support forecasting system development
- Development of the baseline statistical forecast using the demand planning system to support the monthly demand and Exec Sales & Operational Planning
- Invoiced sales statistical forecast
- Depletion statistical forecast for those with available data
- Business Warehouse reporting and download
- Master data maintenance for central forecasting team
- Measure progress and report consolidated performance to central teams
- Conceptual understanding of standard multivariate approaches (correlation, regression, factor, segments)
- SAS experience or a demonstrated ability to learn SAS quickly is highly preferred
- Superior educational credentials at the Master’s level preferably in statistics, biostatistics, or economics
- Holds Demand Managers accountable for the agreed actions to improve forecast performance
- Master degree with a relevant mathematics/statistics qualification, with special focus on time series/multivariate forecasting models
- High level knowledge of statistics and an excellent level of understanding of statistical forecasting methods
Statistical Analyst Job Description
- Perform the technical analysis of the Field Failure data
- Summarize failure statistics and create weekly/monthly Project/Product performance reports for the assigned global Projects
- Interface/support the ‘RAM/Failure Analysis Engineer’, 'RCS Global RAM Team' and, if/when necessary, the other members of the 'RCS RAM Network' (located in the various Regions) for all the RAM KPI topics
- Support the APAC Warranty team leader to provide relevant RAM information upon request
- Become an expert at Acurian’s proprietary predictive model
- Develop and maintain statistical formulas for future resource planning
- Coordinate authorization process and documentation for statistical formulas
- Participate in test vehicle quantity planning activities for the current and future models
- Act as a liaison between engineering managers, senior managers, division directors, and department management in budget and business activities to ensure optimal operational performance with minimum supervision
- Participate in planning and execution of departmental business plans and adhoc projects based on Project Management Concept
- Demonstrated analytical skills in prior roles and ability to work independently and to drive a high quality of forecast
- Excellent IT skills in Microsoft Office (especially Excel)
- Application of forecasting models on real commercial processes
- SAP APO & SAP DEP experience are advantages
- BA/BS in Statistics or Social Science Research
- Experience in applied statistics in a business/marketing setting
Statistical Analyst Job Description
- A Bachelor’s Degree (Master’s Degree preferred) in a related field such as statistics, epidemiology, quantitative research methods, biology/medicine
- Minimum 3 years of relevant experience with Master’s degree
- Minimum 5 years of relevant experience with Bachelor’s degree
- Responsible for the creation and accuracy of submission data sets and analysis programs for routine and non-routine situations
- Maintain expertise in the use of the UNIX utilities
- Responsible for identifying opportunities for productivity improvements and formulating implementation plans
- Responsible for SAS programming related to clinical studies
- Clean and prepare data for analysis, assist scientific publications and presentations conduct and interpret simple to complex statistical data analysis and modeling
- The incumbent will also perform statistical related analyses and discussions for all abstracts and manuscripts created from clinical trial data as assigned
- The incumbent will lead statistical analyses, present analysis results and participate in operations meeting and discussions as assigned
- Some technical experience is required, you need to know SQL
- Strong analytic skills and experience working with market research data/statistics
- Solid understanding of (and ability to explain in layman terms) statistical concepts including regression, correlation, factor analysis and cluster analysis
- Experience working in SPSS, Excel, PowerPoint and Word
- Team-oriented, with experience working in across teams
- Ability to work simultaneously on multiple projects at various stages