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Contract Data Analytics Manager Jobs in Nevada (NOW HIRING)

Fuel Contract Analyst

Las Vegas, NV · On-site

$66K - $80K/yr

Summary The Fuel Contract Analyst assists with day to day fuel contracting and procurement ... Manager of Fuel Procurement with annual and ad-hoc fuel RFPs, including data gathering, bid ...

Within our Data, Analytics & AI Managed Services practice, you will focus on providing strategic insights and driving informed decision-making for clients, developing and implementing innovative ...

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 ...

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Contract Data Analytics Manager information

What does a contract data analytics manager do?

A Contract Data Analytics Manager is responsible for overseeing data analysis projects and processes on a contractual basis, often for a specific project or period. They collect, interpret, and analyze large sets of data to help organizations make informed business decisions. Their role may involve collaborating with stakeholders, managing a team of analysts, and ensuring the quality and accuracy of data reports. Since they work on a contract, their focus is typically on delivering results within a defined timeframe. They often work in industries like finance, healthcare, or marketing where data-driven insights are crucial.

What are the key skills and qualifications needed to thrive as a contract data analytics manager, and why are they important?

To thrive as a Contract Data Analytics Manager, you need expertise in data analysis, contract management, and a solid background in business, finance, or a related field, often supported by a relevant degree. Familiarity with analytics tools like SQL, Tableau, and Excel, as well as contract management systems, and sometimes certifications in data analytics or project management, are commonly required. Strong attention to detail, communication, and problem-solving abilities help you interpret complex data and collaborate across departments. These skills are crucial to extract actionable insights from contract data, mitigate risks, and optimize business outcomes.

What are some common challenges faced by contract data analytics managers, and how can they be addressed?

Contract Data Analytics Managers often encounter challenges such as quickly understanding a company's existing data infrastructure, aligning expectations with stakeholders within a limited timeframe, and delivering actionable insights under tight deadlines. To address these challenges, it's essential to prioritize clear communication with team members and stakeholders, leverage onboarding materials or knowledge transfer sessions, and utilize standardized analytics tools and processes. Developing an agile project plan and regularly reviewing progress with the client can also help ensure that deliverables remain aligned with business objectives.

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

AspectContract Data Analytics ManagerData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; experience in project managementBachelor's in Data Science, Statistics, or related field; proficiency in data tools
Work EnvironmentProject-based, often consulting or temporary roles, working with multiple clients or teamsFull-time, in-house or remote, supporting ongoing business operations
Employer & Industry UsageConsulting firms, corporations, government agencies; focus on delivering analytics projectsCorporations, tech companies, finance, healthcare; focus on data reporting and insights

The Contract Data Analytics Manager typically oversees analytics projects on a temporary basis, requiring management skills and strategic oversight. In contrast, Data Analysts focus on data collection, processing, and reporting within ongoing operations. Both roles require strong analytical skills, but the managerial role emphasizes project leadership and client interaction.

What are popular job titles related to Contract Data Analytics Manager jobs in Nevada?

For Contract Data Analytics Manager jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Contract Data Analytics Manager jobs in Nevada look for?

The top searched job categories for Contract Data Analytics Manager jobs in Nevada are:

Data Analytics Manager I

North Las Vegas, NV • On-site, Remote

$126K - $203K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 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.