Data Analytics Manager I
About The Position
The Information Technology directorate is looking for a dynamic Data Analytics Manager. 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. 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. 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.
Requirements
- 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.
- Must possess a valid driver’s license.
Nice To Haves
- Virtual data warehousing exposure is desired.
- Exposure to developing a Semantic Query layer is desired.
Responsibilities
- 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
- 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
- Stay current with industry trends and advancements in data analytics and engineering.
- Provide technical guidance and support to the team.
- 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.
- 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.
Benefits
- medical
- dental
- vision
- pension
- 401k
- paid time off
- 96 hours of paid holidays
- relocation (if located more than 75 miles from work location)
- tuition assistance and reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Manager
