Water Quality Data Research Analyst

Please note, you need to submit your application before 11 : 59 p.m. on the date prior to the close date listed.

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Water Quality Data Research Analyst

Open Date : 02 / 24 / 25

Close Date : 02 / 28 / 25

Salary : $117,979.00 per year

Job Type : Regular

Location : River Mountains Water Treatment Facility, 1299 Burkholder Blvd., Henderson

For any questions regarding this announcement, please contact LVVWD Recruitment at recruitment@lvvwd.com.

Hours of Work : 4 / 10's, 6 : 00am - 5 : 30 : pm, Mon-Thurs

The Ideal Candidate will have with a major in natural science, life science, business administration or a related degree; and five years of experience involving statistical research and analyses of technical data including large data sets; or an equivalent combination of training and experience. Have experience involving analyses of biologic and aquatic data is preferred. An advanced degree in a relevant field is desirable.

INTRODUCTION : Human Resources will screen applications and supplemental questionnaires. Candidates possessing the strongest skills and experience for this position will be forwarded to the hiring department for further evaluation and to determine who will be invited to the formal interview process. The candidate hired will be required to pass a drug screening, background check and may be required to pass a job-related physical evaluation.

GENERAL PURPOSE

Under direction, applies complex statistical and other methods and tools in the analysis of long-term water quality data for Lakes Mead and Mohave to identify the impacts of changing climate on various water quality parameters and predict effects on future water treatment requirements under a variety of climate scenarios; uses remote sensing data to detect current lake conditions impacting water quality and treatment; drafts scientific research papers for presentation at conferences; and performs related duties as assigned.

DESIRED MINIMUM QUALIFICATIONS

Knowledge of :

Complex statistical, mathematical and extrapolative methods and related software and programming / scripting languages; machine learning concepts, methods, algorithms and techniques of analysis for multiple parameters of water quality; water quality modeling analyses and research performed by other governmental, professional scientific and water utility organizations; scientific terminology and laboratory analytical processes used in sampling and testing raw water; sources of historic water quality data including the Laboratory Management Information System (LIMS); general legal and regulatory structures governing water quality data collection and treatment to the extent needed to carry out assigned responsibilities; uses of remote sensing information systems in collecting data on water quality conditions in Lake Mead and other water sources; project management methods and practices; principles and practices of effective business communication.

Ability to :

Independently perform complex and responsible data research and analyses with initiative, creativity and insight to meet objectives; collect, integrate and analyze relevant data from various sources, ensuring a high degree of data quality and integrity; apply sound methodologies for identifying and interpreting relationships among multiple parameters of water quality data and formulate sound explanatory models, conclusions and forecasts; apply sound professional judgment in selecting and applying complex statistical analysis and machine learning models, algorithms and methods; understand and apply applicable federal, state and local laws, regulations, policies, procedures and standards; prepare clear and concise technical documents, reports, correspondence, graphs and displays; present ideas clearly and persuasively to technical and non-technical audiences; exercise sound independent judgment within established policies and guidelines; establish and maintain effective working relationships with managers, employees, representatives of water agencies and other public agencies and others encountered in the course of work.

Training and Experience :

A typical way of obtaining the knowledge, skills and abilities outlined above is graduation from an accredited college or university with a major in natural science, life science, business administration or a related degree; and five years of experience involving statistical research and analyses of technical data including large data sets; or an equivalent combination of training and experience. Experience involving analyses of biologic and aquatic data is preferred. An advanced degree in a relevant field is desirable.

Licenses; Certificates; Special Requirements :

A valid Nevada driver's license and ability to maintain insurability under the District's Vehicle Insurance Policy.

Some duties involve the operation of drones, requiring acquisition of a Federal Aviation Administration Part 107 certificate.

PHYSICAL AND MENTAL DEMANDS

The physical and mental demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this class. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Physical Demands

While performing the duties of this class, the employee is regularly required to sit, stand and walk; talk or hear by telephone and in person; use hands to finger, handle, feel or operate objects, tools, or controls; repetitive movement of hands or wrists; and reach with hands or arms. The employee periodically lifts up to 25 pounds.

Specific vision abilities required by this job include close vision, distance vision, peripheral, color vision and the ability to adjust focus.

Mental Demands

While performing the duties of this class, the employee is regularly required to use oral and written communications skills; read and interpret high volume, complex data sets, information and documents; analyze and solve complex problems; read, observe and interpret complex data or information; use advanced math and mathematical reasoning; learn and apply new information or skills; perform highly detailed work; and interact with managers, staff, representatives of other governmental agencies, professional organizations, water utility trade organizations, the public and others encountered in the course of work.

Salary : $117,979