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SAS Data Analyst Resume Samples
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0-5 years of experience
Performed SAS programming in Phase I to Phase IV clinical trials and quality control
- Imported data from different sources in different formats such as Excel, CSV, and database file.
- Helped create efficacy and safety analysis ready datasets for oncology studies.
- Generated tables, listings, and graphs using PROC REPORT and PROC GPLOT.
- Created macros and used existing macros to develop SAS programs for clinical data analysis.
- Produced SAS outputs in RTF, PDF, CSV and HTML formats using Output Delivery System (ODS) facility.
- Reviewed and ensured analysis data and programming code to meet regulatory and company standards.
0-5 years of experience
Worked as part of a global team to develop SAS ETL software required to support a variety of business needs and often communicate with end-client on required specifications on data.
- Developed database in projects with large, diverse, client data source files.
- Worked on the planning and coordination of work activity for projects involving more than 2 million records.
- Experience in SAS programming for auditing data, developing data, performing data validation QA and improve efficiency of SAS programs
- Managed multiple projects in a fast-paced environment meeting milestones and deliverable dates with no supervision.
- Explained and validated work results and insight applied to tools used for client analysis and documentation of SAS files and library structures.
0-5 years of experience
- Utilized SAS to analyze real data provided by a Fortune 500 company
- Collected and reviewed industry and competitor data and built customized databases
- Performed regression analysis, basket analysis, segmentation analysis, and correlation analysis
- Planned pricing, display, and coupon promotion strategies and designed an interactive presentation
0-5 years of experience
Analyzed large amount of hospitality data on hundreds of small to mid-size properties of Wyndham group of hotels.
- Ran SQL queries in Oracle database to analyze and manipulate data.
- Wrote SAS programs to performed ad-hoc analysis and data manipulation.
- Created various SAS Reports, Tables, Graphs and Summary analysis on PMS systems being used in these properties.
- Checked for invalid/out of range data.
- Communicated with property managers to verify information and fix invalid data.
- Transferred data from Oracle database as well as MS Excel into SAS for analysis and used filters based on the analysis.
- Used SAS Import/Export Wizard as well as SAS Programming techniques to extract data from Excel.
- Compared data across various data sets and analyzed dimensions of data.
- Used SAS Base programming as well as SAS Enterprise Guide 4.0 to produce various reports, charts and graphs.
- Participated in the technology support team meeting to coordinate, review and determine appropriate hotel property software system for hotel property.
SAS Data Analyst Duties and Responsibilities
The specific tasks taken on by SAS data analysts will differ by the needs of their employer or the clients they serve. However, a look at job postings reveals some commonality, such as the following:
Data Collection In order to analyze data, it first must be gathered. SAS data analysts work with clients and fellow employees to figure out the best ways to capture information. Such actions may include creating surveys, pulling sales figures or insurance claims, gathering comments from social media sites, or assembling hospital records, to name a few.
Working with Databases Using SAS software, huge amounts of data can be handled in various ways that would be virtually impossible without computer technology. An analyst’s job often includes uploading and extracting data, doing statistical analysis, cleaning data, and verifying data integrity. Because computers are so fast, analysts can “run the numbers” in a multitude of ways to see if better patterns emerge by grouping things differently or controlling certain factors.
Data Presentation The interpreted results need to be put into forms that others can understand easily. Actions might include writing summaries, preparing charts, assembling spreadsheets, and discussing findings at meetings. Armed with this useable information, decision-makers may figure out better ways to attract customers, develop products, prevent crimes, or reduce costs. Leaders may even be able to anticipate future problems and solve them before they become issues.
SAS Data Analyst Skills and Qualifications
If math and computers aren’t your thing, find a different profession. Successful SAS data analysts display a passion for numbers and a genuine curiosity about what they might mean. Other valuable skills for getting the job done include:
- Multitasking skills – the SAS data analyst’s duties are often managed simultaneously throughout the day, which means they must be able to prioritize tasks
- Technical abilities – proficiency with SAS software is a start, but also plan on being familiar with operating systems (especially Linux), Microsoft products (especially Excel), programming languages (especially SQL), and other computer software
- Critical thinking – figuring out the best ways to handle data to spot patterns or answer questions is a recurring job function
- Communication skills – clearly conveying information to both technical-minded and laypeople is a crucial talent
- Collaboration skills – projects often involve clients, colleagues, and supervisors, so getting along with others and open-mindedly sharing ideas is necessary
- Curiosity – a willingness to think outside of the box and explore alternate thought patterns can lead to interesting discoveries
SAS Data Analyst Education and Training
Plan on obtaining a bachelor’s degree in computer science, software engineering, information technology, applied math, or a related field if you want to become a data analyst. Specific training in SAS is also expected of SAS data analysts. Employers also often seek candidates with a background in their organization’s specific industry, such as an advanced degree in biostatistics to work as an analyst of genetic data.
SAS Data Analyst Salary and Outlook
According to PayScale.com, a data analyst with SAS skills earns a median salary of $63,393 per year. The lowest paid make around $48,000 annually, and workers on the high end of the pay range pull in about $85,000. The majority of SAS data analysts report receiving medical, dental, and vision benefits. Government, business, retail, healthcare, finance, scientific research, and education institutions all employ workers to analyze data. As technology continues to improve and these industries develop new uses for big data, job prospects for SAS data analysts should remain strong.
Helpful Resources
If you’re ready to further explore the possibility of becoming a SAS data analyst, the following are good places to start:
SAS – The company that developed SAS is the go-to place to learn more about this software and its uses.
SAS/SPSS Marketing and Data Analysts – This LinkedIn group can connect you to professionals in the industry who may be able to answer your questions.
Statistical Data Analysis Using SAS – From real-world applications to the latest industry developments, this textbook provides a comprehensive look at what the field is all about.
Data Science Association – This nonprofit organization focuses on career advancement, improving the profession, and ethical concerns.
Data Analysis Plans: A Blueprint for Success Using SAS – If you’re looking for step-by-step instructions on writing, implementing, and updating a data analysis plan, this book has you covered.
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SAS Data Analyst
Last edited by: Gabriela Barcenas, CPRW, Content Writer II -
Gabriela Barcenas
CPRW, Content Writer IIGabriela is a Certified Professional Resume Writer (CPRW) and career adviser. With 10 years of digital media experience and five years of resume writing expertise, her publication history includes fashion, education, travel, social justice, equitable design and career advice.
