Title: SAS Data Analyst
Work Location: Atlanta GA - Hybrid work
Duration: 4+ years
Pay Rate: Open
WE HIRE HONORABLY DISCHARGED US VETERANS WITH THE
REQUISITE SKILL SETS
Security Clearance is a plus
Travel in
and out of State may be required – Expenses reimbursed
The Analyst will provide
critical data reporting and analytics capabilities. This role would analyze
complex data structures to generate useful business insights and develop
reporting to monitor business-critical results. You will be responsible for the
design, development, implementation, and maintenance of statistical analysis
workflows in a business intelligence software (SAS, Alteryx) interface. You
will ensure that the use of Bl applications enhances business decision
capabilities. You must possess a strong understanding of internal stakeholders
and present insights to clients. You will work in relational and non-relational
database structures. You should be proficient in working with large-scale
business data sets, fluent in scripting and rapid prototyping skills including
expertise in minimum query tools 2, PYTHON, PL/SQL, Ras well as Tableau,
Alteryx, Typically, this position requires 3+ years of related experience.
Supports leadership team with data consultation, data gathering, analysis, and
reporting.
As a SAS analyst, your main
responsibilities are to collect and interpret data and to use SAS software
tools to draw conclusions from data. Your job duties include updating SAS
programs, and managing databases, and large data sets in federal health care
clinical trial environments.
Must
be comfortable working in a fast-paced, flexible environment, and take the
initiative to learn new tools quickly
Desired:
- End-to-end SAS Enterprise Guide development and
programming SAS DI Studio experience
- Extensive experience in Tableau dashboard design
and development
- ETL - Quality assurance and validation
experience, specifically comparing multiple data sources for discrepancies
and inconsistencies
Responsibilities:
- Design and implement a global library and
study-specific setup for clinical trials applications;
- Extract data from a variety of sources, such as
relational databases, EDW, and Foundry for use in analysis
- Deliver all datasets and converted flat,
analytic-ready datasets with accompanying data dictionaries using
commercially available SAS Institute Inc. (SAS) © software in the SAS7bdat
format datasets (i.e., SAS software compatible binary encoded dataset)
- Serves as Technical Lead on Study specific
database design/build activities adhering to the timelines established by
the project team and indicated by the contract.
- Engage with operational business stakeholders to
identify key initiatives and execute solutions to business problems using
data analysis and advanced analytics
- Perform quality assurance of reporting and
dashboard deliverables to ensure the quality of both data and analysis
- Updates annotations and production databases
based on protocol amendments or other changes to trial designs within
timelines as agreed with the project team
- Work collaboratively to align business
requirements with data and analytical solutions while empowering
businesses to draw insights and analyze data while identifying areas of
concern of as-is processes and business dependencies
- Coordinate and facilitate requirement gathering,
playing an active role in the discovery, analysis, value validation,
design, and testing phases. Ideate with functional analysts and business
process owners.
- Monitor changes in business, making recommendations
where analytics can further improve business
- Create Tableau-related Standard Operating
Procedures (SOP)
- Document development for peer reference and
knowledge transfer
Minimum Required Education and Experience:
- Bachelor's degree in computer science, statistics,
biostatistics, mathematics, biology or other health-related field or
equivalent experience that provides the skills and knowledge necessary to
perform the job.
- Minimum of 2 years experience in a clinical
trials environment or similar field
- 3+ years Experience with
- SAS Institute Inc. (SAS) © software
- Structured Query Language (SQL)
- Advanced Microsoft Excel
- Machine learning models and algorithms
- Predictive modeling & Statistical analysis,
Regression analysis
- Data visualization (SAS, Tableau, PowerBI, AWS
Quicksight)
- Python and other programming languages
- Building data sets
- Data Management & Integration
- Data optimization