SAS Analyst Job Description
SAS Analyst Duties & Responsibilities
To write an effective SAS analyst job description, begin by listing detailed duties, responsibilities and expectations. We have included SAS analyst job description templates that you can modify and use.
Sample responsibilities for this position include:
SAS Analyst Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for SAS Analyst
List any licenses or certifications required by the position: SAS, CRISC, CISA, CISM, CISSP, AGILE, ADVANCED, SSL, SQL, PROC
Education for SAS Analyst
Typically a job would require a certain level of education.
Employers hiring for the SAS 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, Computer Science, Mathematics, Economics, Business, Engineering, Finance, Education, Biostatistics, Technical
Skills for SAS Analyst
Desired skills for SAS analyst include:
Desired experience for SAS analyst includes:
SAS Analyst Examples
SAS Analyst Job Description
- Encourage processes that increase productivity by improvement of people, process, tools, and technology
- Maintain and enhance Part D-related data warehouses/marts and develop ad hoc data mining analysis to support business decisions
- Responsible for performing tasks relating to Database Management System (DBMS) applications, including definition, design, structure, documentation, upgrades, long-range requirements, operational guidelines, and protection
- This position will support CT / RI / MA / NH / VT / ME Hospital and MD Network contracting
- Member of the risk reporting infrastructure team
- Automate existing Excel reports in SAS
- Help in the design and build out of a data warehouse
- Query large data sets, analyze, visualize and report on these data sets
- Provide all levels of technical and application support
- Communicate identified errors / discrepancies/anomalies to management
- Experience working in relevant environment/s, AML system governance
- You must be capable of establishing and building strong relationships with the Actuarial & Finance teams, and be able to influence and help senior managers make informed decisions on development priorities
- Hands on experience in creating and utilizing Excel reports
- Experience with Oracle and Access Databases
- Experience in forecasting and/or workforce management
- Strong preference for experience in Field Operations
SAS Analyst Job Description
- Able to organize workflow and manage time effectively
- Work closely with project team members (Analysts, Scientist Leaders, Analytic Advisors/Managers, Sales and Operations) and clients to complete projects that will meet clients’ needs
- Actively participate with project teams to resolve data anomalies and methodology questions
- Generate ad hoc results to support new business development
- Direct and mentor more junior Programmer/Analyst staff to perform portions of modular project programming process
- Generate ad hoc query results to support new business development
- Support training for new hires
- Produce quarterly residual value forecast models in SAS
- Work closely with statistical modelers to apply models in SAS in order to produce accurate, efficient, and traceable forecast results
- Collaborate with Compliance and Finance to ensure reliability, traceability, and compliance with required control points in order to mitigate audit/compliance risk
- Advanced / Expert level of SAS programming using BASE, EG in Grid environment
- DI Studio, PPM/LSF – a plus
- Strong, proven process ownership
- Strong, proven coding and documentation practices
- Must have exceptional problem solving skills and structured thinking
- Experience with very large data sets required
SAS Analyst Job Description
- Support Business Intelligence department in automation and data mart development efforts
- Collect, and analyze auto industry and economic information and data impacting used vehicle prices, including, but not limited to, information regarding economic trends/forecasts, new and used car markets, emerging technology, and competitor vehicles and sales
- Act as residual value representative in maintaining SAS relationship
- Deliver accurate and timely data which is easy to process and understand
- Propose and recommend creation of utilities and tools for data analysis
- A high level of team contribution – looking for opportunities to provide input and support across the team
- Support the Clothing Online teams in self-serving data from existing reporting
- Establishes and maintains a central repository of information necessary to manage analyst firms and analyst relationships
- Assist in approval process around ADR program enrollment and custom programs
- Communicate with field personnel to understand various request and provide viable alternatives to reach the desired outcome
- Experience administering SAS and ability to configure SAS to work with multiple data sources and platforms (RDBMS, flat files)
- Experience in Predictive modeling – Linear / logistic regression, Segmentation
- At least 3 yeard of hands on experience with one of the statistical analytics programming package SAS
- Ability to travel up to 100% for client engagements
- Bachelor's degree or Technical Certificate required or work experience equivalent to Bachelor's degree
- Experience with Flex, HTML, CSS, and Javascript
SAS Analyst Job Description
- Participate/Lead bi-weekly discussions with field personnel to address concerns and questions around ADR offerings
- Provide support for monthly ADR reporting impact analysis on recently launched programs
- Support the launch of new ADR programs through development of analysis to assess the economic impact of potential programs
- Facilitate activities around ADR Governance
- Attend monthly pricing meetings and document actions/decisions
- Coordinate annual review/update and committee/council charter
- Provide ad-hoc analysis and support to other facets of the ADR Team other parts of the organization
- Communication with dealership personnel and outside stakeholders to request or follow-up with required information
- Assists senior management in installing proactive sampling controls surrounding test data sourcing and sampling
- Collaborates with EIT testing and data leads to evaluate sampling practices and identify deviations from the published enterprise standards
- Banking or Financial Industry Experience is a very strong asset
- Experience with customizing SAS Institute product UIs is a plus
- Self-Driven, Self-Starter with the ability to interpret direction based off of high level guidance
- Willingness to ask detailed questions and leverage team experience to gain job-critical knowledge
- Awareness that context is important and impacts how information is shared, sent and received
- Experienced with complex financial modeling and advanced analytics
SAS Analyst Job Description
- Plays a critical role in implementing and improving the sampling methodologies commensurate with the risk and control profile across various business lines and product portfolios
- Collaborates with testing and data leads to evaluate sampling practices and identify deviations from the published enterprise standards
- Ad-hoc investigative analysis
- Maintenance/development of existing reports
- Be a key contact to clients (both internal and external)
- Assess and optimize auction footprint
- Evaluate dealer activity to enhance dealer engagement
- Assess effectiveness and consistency of vehicle inspectors processes
- Develop and maintain reports for senior management
- Work with 3rd party vendors and IT to implement decisions
- Requires specialized / advanced database skills in order to perform more complex analytical functions
- Excellent communication / presentation skills, both verbal and written with ability to translate information so that users can effectively understand and make meaningful, informed decisions and recommendations
- Ability to develop project plans, works independently and effectively under time constraints within a fast paced environment to deliver results by critical deadlines
- Ability to build business and technical relationships other business partners
- Analytical capability to stand behind and support complex, large data sets based in operations data, preferably with six sigma analytical techniques
- Capability to use common analytical software packages and produce reporting products with those packages, SAS and Excel