Data Analytics Manager (Manager I) - Remote - Mission Support and Test Services, LLC

Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Site (NNSS) for the U.S. National Nuclear Security Administration (NNSA).  Our MISSION is to help ensure the security of the United States and its allies by providing high-hazard experimentation and incident response capabilities through operations, engineering, education, field, and integration services and by acting as environmental stewards to the Site’s Cold War legacy.  Our VISION is to be the user site of choice for large-scale, high-hazard, national security experimentation, with premier facilities and capabilities below ground, on the ground, and in the air. (See NNSS.gov for our unique capabilities.) Our 2,750+ 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.  In this environment, the best ideas need to be voiced and every opinion matters.  As such, MSTS places great value on Diversity, Equity, and Inclusion and is committed to a diverse and equitable workforce, with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, and perspectives.

• 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 International Inc. (Honeywell), Jacobs Engineering Group Inc. (Jacobs), and HII Nuclear Inc.

The Information Technology Directorate is looking for a Data Analytics Manager.

Key Responsibilities

• Team Leadership and Management:
  • Recruit, Select, and Train employees; maintaining a safe, secure, and legal work environment; developing growth opportunities.
  • Lead, mentor, and develop a team of data analysts and engineers.
  • Foster a collaborative and inclusive team culture.
  • Set clear goals and expectations for the team.
  • Conduct regular performance reviews, provide feedback, and support career development.
  • Identify opportunities for process improvements and implement best practices.
• Data Strategy and Execution:
  • Develop and implement data strategies that align with business objectives.
  • Oversee the design, development, and maintenance of data pipelines, ETL processes, and data warehouses.
  • Ensure data quality, integrity, and security.
• Project Management:
  • Manage multiple projects simultaneously, ensuring timely delivery and adherence to project scope and budget.
  • Collaborate with stakeholders to define project requirements, goals, and deliverables.
  • Track project progress and report on key metrics and milestones.
• 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.
  • Communicate complex data concepts in a clear and concise manner to non-technical stakeholders.
  • 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.
  • Present findings and recommendations to senior leadership.

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.
• 10+ years of experience in data analytics and engineering, with at least 4 years in a managerial role is highly preferred.
• Strong proficiency in data analysis tools and programming languages such as SQL, Python, Power Query and M.
• Experience with data visualization tools like Tableau or Power BI.

• Solid understanding of database management systems, data virtualization such as Denodo or Azure Synapse, data warehousing, and ETL processes.

• Excellent leadership, communication, and interpersonal skills.

• Proven ability to manage and prioritize multiple projects in a fast-paced environment.

• Strong problem-solving skills and attention to detail.

• Familiarity with agile methodologies and project management tools.

• Preferred Qualifications:

  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).

  • Knowledge of machine learning, predictive analytics, Generative AI.
• Work will be conducted remotely. Some work at our Losee Road facility in North Las Vegas, Nevada is required in support of these functions.
• Flexible work schedule can be negotiated with the manager; employees can work 5/8s, 9/80s, or 4/10s.
• 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/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, 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: $121,326.40 - $194,126.40.

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