Data Analyst

New Mexico State University•Las Cruces, NM
•Onsite

About The Position

The Jornada Experimental Range is seeking applicants for a Data Analyst (Rangeland Ecology) to join our collaborative research team to support a rangeland vegetation assessment and mapping project to prioritize landscapes for restoration and to guide adaptive management. This is initially a one-year appointment which may be extended, contingent upon external funding.

Requirements

  • Associate's Degree + 2 years of relevant experience or a Bachelor's degree.
  • Ability to work outdoors during hot or cold, windy weather.
  • Work involves moderate exposure to unusual elements, such as extreme temperatures, dirt, dust, fumes, smoke, unpleasant odors, and/or loud noises.
  • Moderate physical activity.
  • Requires handling of average-weight objects up to 25 pounds or standing and/or walking for more than four (4) hours per day.
  • Work environment involves some exposure to hazards or physical risks, which require following basic safety precautions.

Nice To Haves

  • Bachelor’s degree in ecology, environmental science, range science, soil science, natural resources or related field.
  • Experience identifying plants to species.
  • Strong communication skills and ability to work collaboratively with multiple researchers, private land managers, and agency personnel.
  • Strong time management skills.
  • Attention to details.
  • Experience performing self-directed, independent work.
  • Experience with vegetation monitoring (e.g., the BLM AIM protocol), describing ecosystem function (e.g., Interpreting Indicators of Rangeland Health), using ecological site descriptions, and characterizing soil profiles.
  • Ability to identify the relationships among landforms, soil/site potential, and plant communities at the landscape scale.

Responsibilities

  • Collecting landscape-scale vegetation inventory and monitoring field data (e.g., plant cover estimates, standardized monitoring methods, digging soil pits and characterizing soils, and determining ecological sites and states).
  • Extensive travel and overnight stays for field work.
  • Data entry, error-checking, creating metadata, data analysis, project and data management.
  • Self-directed work.
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