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Data Analytics Manager Jobs in Nevada (NOW HIRING)

If you're passionate about analytics, data governance, business intelligence, and building a data-driven culture, we'd love to hear from you. Position Summary The Data Manager is responsible for ...

... to manage your time effectively * Healthcare Coverage - Medical, dental, and vision plans provided * Mentorship and Learning - We'll support your growth in data analytics and reporting * Mission ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

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Showing results 1-20

Data Analytics Manager information

See Nevada salary details

$31.6K

$98.9K

$175.1K

How much do data analytics manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data analytics manager in Nevada is $98,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $127,800.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Nevada?

The most popular types of Data Analytics jobs in Nevada are:

What cities in Nevada are hiring for Data Analytics Manager jobs?

Cities in Nevada with the most Data Analytics Manager job openings:

Infographic showing various Data Analytics Manager job openings in Nevada as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $98,923 per year, or $47.6 per hour.

Data Analytics Manager I

North Las Vegas, NV • On-site, Remote

$126K - $203K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

The Information Technology directorate is looking for a dynamic Data Analytics Manager.

Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Sites (NNSS) for the U.S. National Nuclear Security Administration (NNSA), a semi-autonomous agency within the U.S. Department of Energy (DOE). The NNSS is an enterprise of special-purpose, multi-mission, high-hazard experimentation facilities delivering technical and service solutions in partnership with the National Laboratories. Our collaborative work supports the government's most important national security missions. (See NNSS.gov for our unique capabilities.) Our 3,000+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today. 

  MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more. 

  MSTS is a limited liability company consisting of Honeywell Aerospace, Amentum, and HII Nuclear Inc.


Due to the nature of our work, US Citizenship is required for all positions.

  • Bachelor's degree or equivalent training and experience, plus a minimum of 11 years of related and progressively responsible experience.
  • Five years or more of experience in managing data teams and data projects.
  • Leading projects with stakeholder engagement and requirements gathering.
  • Ability to manage multiple projects and priorities simultaneously, with a track record of meeting deadlines and delivering high-quality results.
  • Proven track record of implementing data platforms for large and complex systems.
  • Experience with implementing process improvements and automation.
  • Experience with data modeling, database design, and data integration approaches.
  • Experience with Data warehousing - Virtual data warehousing exposure is desired.
  • Exposure to developing a Semantic Query layer is desired.
  • Experience creating dashboards/visualizations in PowerBI.
  • Experience writing script, code to automate processes.
  • Experience with cloud-based data storage and analytics technologies.
  • Experience with code and deployment automation for data pipelines.
  • Experience with data governance, data quality, and data security best practices.
  • Strong Analytical, problem-solving, and communication skills.
  • Exposure to one or more formal architecture frameworks and related modeling languages and notations.
  • The primary work location will be at the Losee Road Facility in North Las Vegas, Nevada.
  • Work schedule will be 4/10s Monday through Thursday (subject to change).
  • Pre-placement physical examination, which includes a drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing.
  • Must possess a valid driver's license.

Ability to obtain a HSPD-12 Personal Identity Verification credential under the Department of Energy Order 206.2, 'Identity, Credential, and Access Management,' and Supplemental Directive NNSA SD 206.2, 'Implementation of Personal Identity Verification for Uncleared Contractors.'

MSTS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, veteran status or other characteristics protected by law. MSTS is a background screening, drug-free workplace.

Annual salary range for this position is: $126,984.00 - $203,174.40.

Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity. 

Key Responsibilities

  • Team Leadership and Management
    • Lead, mentor, and develop a team of data analysts and engineers
    • Manage Resource planning across operational work and planned projects
    • Identify opportunities for process improvements and implement best practices
  • Data Strategy and Execution
    • Develop and implement data strategy
    • Oversee the design, development, and maintenance of data pipelines, ETL processes, and data warehouses
    • Data governance experience and exposure in the context of AI
    • Manage multiple projects simultaneously, ensuring timely delivery and adherence to project scope and budget
  • Technical Expertise
    • Stay current with industry trends and advancements in data analytics and engineering.
    • Provide technical guidance and support to the team.
    • Identify opportunities for process improvements and implement best practices.
  • Stakeholder Collaboration
    • Work closely with business leaders, product managers, and other stakeholders to understand data needs and deliver actionable insights.
    • Ensure alignment between data initiatives and business goals.
  • Data Analysis and Reporting
    • Oversee the development of analytical models and dashboards to support data-driven decision-making.
    • Analyze data to identify trends, patterns, and opportunities for business improvement.