What are the responsibilities and job description for the Data Analyst / SAS Analyst - Machine Learning position at Acadia Technologies, Inc.?
Job Details
SAS Programming and Data Management:
- SAS Programming:Mastering the SAS programming language is crucial for manipulating, analyzing, and managing data effectively within the SAS environment.
- Data Manipulation:Familiarity with techniques for cleaning, transforming, and preparing data for analysis is essential, including subsetting, merging, and creating new variables.
- Database Management:Understanding how to create, maintain, and interact with SAS databases is important for storing and retrieving data.
2. Statistical Analysis and Modeling:
- Statistical Concepts:A strong understanding of statistical principles, including descriptive and inferential statistics, hypothesis testing, regression analysis, and time series analysis, is vital for conducting meaningful analysis.
- Statistical Procedures:Proficiency in using various SAS statistical procedures (e.g., PROC ANOVA, PROC GLM, PROC REG, PROC CORR) to perform different types of analyses.
- Model Building:Experience in building and validating predictive models to support business objectives is a valuable asset.
3. Data Visualization and Reporting:
- Visualization Tools:Skills in using data visualization tools like Tableau or Power BI to create compelling reports and dashboards are beneficial for communicating insights effectively.
- Report Generation:The ability to generate clear and concise reports, tables, and listings based on analysis results.
- Data Storytelling:Communicating analysis findings effectively to both technical and non-technical audiences through clear visualizations and narratives.
4. Optional but Helpful:
- SQL: Familiarity with SQL for querying and managing databases.
- R or Python: Knowledge of other statistical programming languages can be useful for expanding analytical capabilities.
- Machine Learning: Understanding of machine learning concepts and techniques can open doors to more advanced data analysis.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $60,000 - $80,000
