Enterprise Data Analyst

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

Thank you for your interest in this position. Please note the following important tips for applying.

• All portions of the application must be completed in detail. Work history, applicable education, and answers to the supplemental questions are all required. Applications missing any one of these sections will be rejected as incomplete. Referral to a resume is not acceptable.

• Set aside some time to complete your application. The system is unable to save applications that are in progress, and once you have submitted the application you cannot reapply.

• We strongly recommend that you review all the information on your application for accuracy. Once an application is submitted, you will be unable to edit it.

• Submitted applications are not viewable. If you would like to keep a record of what you will be submitting, we suggest you type your responses to the questions in a Word document, then copy and paste the answers into the application then save the Word document. Typing questions in Word will also minimize typing/grammatical errors since this is not an option in the system.

NOTE: If you are a current employee, you MUST apply via the Career worklet in Workday and not through this site. If you submit an application on this site, it cannot be processed.

Enterprise Data Analyst

Open Date: 11/19/25

Close Date: 12/04/25

Salary: $109,754.00 per year

Job Type: Regular

Location: Valley View Campus, 1001 S. Valley View Blvd., Las Vegas

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

FILING DEADLINE: The first 100 applications submitted ON or BEFORE 11:59pm, Wednesday, December 3rd, 2025. WHICHEVER COMES FIRST.

2 VACANCIES

Hours of Work: 4/10's. 7am-6pm, Mon-Thurs.

The ideal candidate is a collaborative professional experienced in partnering with data analysts, stewards, SMEs, and data owners to advance Data Analytics initiatives. They possess strong analytical and problem-solving skills, advanced SQL, and solid proficiency with Power BI or similar tools, including DAX for creating actionable visualizations.

They are knowledgeable in modern data platforms such as Microsoft Fabric and Azure Synapse, including designing and optimizing semantic models, pipelines, and data workflows.

Preferred candidates also bring working knowledge of Python, R, or SAS to support cross-functional analytical projects.

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 performing analyses of data sets across the organization to produce analytical results and data dashboards and other visualizations to meet business stakeholder information and decision-making needs; uses established processes to prepare datasets for analysis; develops documentation for datasets and assist others in their use; assists senior enterprise data staff in preparing datasets for inclusion in the organization’s data platform; and performs related duties as assigned.

DESIRED MINIMUM QUALIFICATIONS

Knowledge of:

Basic theory and principles of data architecture design and development, including logical and physical data modeling, design and flow diagramming and design of data pipelines and ETL methods; physical, virtual and cloud-based data platforms and database management systems and software including data warehouses and database languages; data security concepts, best practices and methodologies; statistical, mathematical and extrapolative methods and related software and associated programming and scripting languages; software and tools used in the development of data visualizations and interactive dashboards; network architectures and general principles of network design and integration; principles, practices and methods of systems administration; general project management tools and techniques; principles and practices of sound business communication; customer relationship management concepts and practices.

Ability to:

Independently perform highly responsible data research and analysis with initiative, creativity and insight to meet objectives; apply sound technology tools in analyzing and resolving complex and ambiguous data quality, integrity, security and integration problems and issues in accordance with established standards; apply appropriate statistical analysis methodologies in identifying and formulating explanatory models, conclusions and visualizations; apply and use machine learning models, algorithms and methods in accordance with established guidelines; plan, organize and complete projects efficiently and in accordance with District quality standards; prepare clear, concise and accurate technical documents, reports, correspondence, visualizations and solution documentation and other written materials appropriate to technical and nontechnical audiences; apply sound judgment within general guidelines; communicate clearly and effectively orally and in writing; work collaboratively and effectively as a project leader and/or team member; exercise tact and diplomacy in dealing with sensitive, complex and confidential issues and situations; establish and maintain effective customer-focused working relationships with all levels of managers, customers, vendors, consultants, 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 knowledges, skills and abilities outlined above is graduation from a four-year college or university with a major in management information systems, data or information science, statistics, mathematics, business administration or a closely related field; and three years of progressively responsible experience in the development, administration and utilization of complex datasets and related statistical research, analysis and interpretation; or an equivalent combination of training and experience.

An advanced degree in a relevant field is desirable but not required.

Licenses; Certificates; Special Requirements:

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

The following certifications are preferred but not required:

• Certification as a Certified Data Management Professional

• CompTIA Data +

PHYSICAL AND MENTAL DEMANDS

The physical and mental demands described here are representative of those that must be met by employees 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, an employee is regularly required to sit; talk or hear, in person, in meetings and by telephone; use hands to finger, handle, feel or operate computers or other standard office equipment; and reach with hands and arms. The employee is frequently required to walk and stand.

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

Mental Demands

While performing the duties of this class, the employee is regularly required to use written and oral communication skills; read and interpret complex data, information and documents; analyze and solve complex problems; observe and interpret people and situations; use math and mathematical reasoning; perform highly detailed work on multiple, concurrent tasks with constant interruptions; work under deadlines and interact with all levels of managers, customers and Information Technology staff, consultants, employees, representatives of other water and public agencies and the public.