*Overview*
*_What Youll Be Doing_*
This position will perform data analysis tasks and support the development of data tools as part of project teams that serve clients with the U.S. Environmental Protection Agency and other government agencies in the areas of drinking water protection, climate resilience, and surface water quality management. Primary responsibilities will include (but are not limited to): compiling environmental, demographic, and public health data and documenting data sources; data cleaning using R or Python; summarizing data and performing statistical analysis; performing geospatial analysis using ArcGIS software; developing data visualizations; and documenting analysis methods and findings.
The selected candidate will work in a team environment and will be responsible for completing assigned tasks at a high level of quality within timelines outlined by project managers. This position requires close attention to detail and creative thinking skills to identify and troubleshoot data-related issues. Successful applicants will be able to work independently with input and oversight from project team members, be able to manage assigned tasks and projects from start to finish, and possess exceptional oral and written communication skills. The position will interact with clients and external federal, state, and local entities to gather data, discuss analytical approaches, present methods and results, and gather feedback.
This position can be based out of Cadmus offices in Arlington, VA; Bethesda, MD; Boston, MA; Waltham, MA; or Madison, WI. A fully remote position may be considered depending on candidate qualifications.
*_Who We Are_*
At Cadmus, we recognize that solving the worlds most challenging problems cant be accomplished alone or with cookie-cutter solutions. Thats why we look for team players and problem solvers who are driven to use their unique perspectives and intellectual curiosity to help deliver breakthrough solutions that achieve transformative goals. On the Cadmus team, youll collaborate with leading experts to help our clients across the globe.
Cadmus mission is to deploy industry-leading expertise to help our clients achieve extraordinary results that strengthen society and the natural world. We offer competitive compensation, outstanding health care and retirement benefits, a vibrant and collaborative work environment, and opportunities for professional growth. We are committed to advancing diversity, fostering a culture of equity in the workplace and society, and maintaining an accessible and inclusive environment where all employees feel connected, respected, and valued.
Join Cadmus. Lets solve the worlds most challenging problems together.
*Responsibilities*
+ Implement methods to clean, analyze, and store data using R.
+ Complete analysis of raster and vector geospatial data using ArcGIS software and the Python programming language.
+ Research and evaluate national, state, and local data sets for inclusion in water sector projects.
+ Assist in the development and maintenance of tools for viewing and analyzing water and climate related data, including developing ArcGIS Online or Power BI products.
+ Develop metadata and appropriate data analysis documentation including methodologies.
+ Provide quality control support when developing client deliverables.
+ Provide strategic thinking in support of client initiatives.
*Qualifications*
*Required Qualifications:*
+ Bachelors degree in environmental science, environmental engineering, water resources management, geography, ecology, or a related discipline.
+ At least 2 years of relevant professional experience in a consulting, government agency, or research position *OR* a Masters degree in a relevant discipline.
+ Advanced skills in R and Python for data cleaning and analyzing large and complex datasets.
+ *Experience working with raster and vector geospatial data using ArcPro software and ArcPy functions.*
+ *Experience retrieving and analyzing large environmental data sets and geospatial data layers, such as climate, land use, demographic, ecological, hydrologic, or water sampling data.*
+ *Familiarity with using ArcGIS Online, Power BI, or Shiny to develop interactive web-based tools and applications for visualizing data.*
+ Strong organizational skills with exceptional attention to detail and the ability to apply quality control practices.
+ Strong problem-solving skills with an ability to work independently as well as collaboratively in a team environment.
+ Candidates must be either a U.S. Citizen or Permanent Resident to be considered.
*Additional Information:*
Based on eligibility and job status, Cadmus offers an excellent benefits package to include: medical, dental, vision, company paid disability and life insurance, 401(k) program, paid time off (PTO), paid holidays, voluntary time off (VTO), tuition reimbursement, adoption assistance program, other optional benefits and various bonus programs.
The minimum starting salary for this position is $60,000. The actual salary may be higher and will be determined by several factors, including relevant work experience, education, skills, and market competitiveness.
We value the critical role safety and health protocols contribute to everyones success at Cadmus, and work together to align and comply with all federal, state, and local safety and health mandates related to COVID to ensure a safe and valuable work environment.
Cadmus is an Equal Opportunity, Affirmative Action Employer and prohibits unlawful discrimination. Cadmus is committed to providing a respectful workplace where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy), sexual orientation (including gender identity and/or expression), national origin, military and veteran status, physical and mental disability, or any other characteristic protected by applicable law.
Learn more about Cadmus by visiting our website at: ***
*Job Locations* _US_
*Posted Date* _6 days ago_ _(5/6/2024 2:55 PM)_
*_Job ID_* _2024-2729_
*_# of Openings_* _1_
*_Category_* _Analyst_
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