WEST provides environmental and statistical consulting services and contract research nationally and internationally to industry, government, and private organizations. We offer clients a unique combination of field ecology and statistics to help solve on-going and contemporary natural resource problems.

Through the use of state-of-the-art statistical principles in the design, conduct and analysis of ecological field studies, WEST specialize in a common sense, defensible, and professional approach to the solution of natural resource problems facing government and industry. WEST has a permanent core of ecologists and biometricians with broad experience in basic and applied ecological studies and the sophisticated analysis of natural resource data.

Western EcoSystems Technology, Inc. (WEST), a dynamic medium size consulting firm with offices across the United States, is looking for a regular Data Analyst – Ecological Statistician.

Job Summary:

The successful candidate must be a self-starter who enjoys learning new analytical techniques to solve challenging problems and communicating and interacting with people. Additionally, the successful candidate should have experience developing scalable analytical code and preferably has experience in field data collection.

Primary Duties Involve:

• Apply statistical methods, program analyses primarily in R, and interpret and present results to coworkers
• Assist on a wide variety of projects
• Develop, review, and maintain analysis code written in R following standard coding styles
• Develop and maintain positive relationships with coworkers
• Format and conduct QA/QC on data and perform standard statistical analyses

This is a general description of the functions for this position and is not inclusive of all the duties which may be associated with this position.

Qualifications:

• MS in statistics or a related field
• Two or more years of experience as an applied statistician in ecology, fisheries, or wildlife research
• Proficient in statistical programming and data manipulation in R
• Experience with standard statistical analyses, such as linear regression
• Excellent time management and organizational skills with the ability to work well under time constraints and meet deadlines
• Work well in a collaborative environment
• Excellent written and oral communication skills
• Experience with relational database systems and data manipulation
• Experience with geographical information systems (ArcGIS, QGIS, etc.)
• Ability to effectively use Microsoft Office applications, including MS Access