Data Analyst

Data Analyst

ManTech

Miami, FL • On-site

Other

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8.8

Company rating: 8.8 out of 10

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31st of 184 rated software companies


Job description

Data Analyst Position

Shape the future of defense with MANTECH! Join a team dedicated to safeguarding our nation through advanced tech and innovative solutions. Since 1968, we've been a trusted partner to the Department of Defense, delivering cutting-edge projects that make a real impact. Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now—protect and innovate with MANTECH!

MANTECH seeks a motivated, career and customer-oriented Data Analyst to join our team in Doral, FL.

Responsibilities include but are not limited to:

  • Lead the development and implementation of data strategies and frameworks that drive decision-making and organizational learning across the enterprise.
  • Maintain and enhance the accuracy and reliability of the CMDB by validating hardware models, correcting asset records, and standardizing location entries in alignment with ServiceNow data governance standards.
  • Develop predictive models, conduct simulations, and perform statistical analyses to deliver actionable insights that optimize program performance and support strategic decision-making.
  • Design and develop reports, dashboards, and visualizations that effectively communicate complex data findings to stakeholders at all levels of the organization. Design and manage complex data collection, storage, and retrieval processes, ensuring data quality, integrity, and accessibility for analysis and reporting.
  • Contribute to the development and implementation of data governance policies, ensuring compliance with regulatory requirements and industry best practices. Contribute to the development and rollout of ServiceNow modules. Ability to understand the platform and utilize data for analysis.
  • Conduct comprehensive assessments to track utilization across multiple environments, identifying opportunities for cost reduction and operational efficiency improvements.
  • Collaborate with cross-functional teams to identify data needs, address reporting gaps, and deliver timely, accurate insights that support mission objectives.

Minimum Qualifications:

  • Bachelor's degree in relevant field and 4 years of overall experience OR a master's degree and 2 years of experience or a PhD. High School Diploma and 4 years of additional experience may be exchanged in lieu of a required bachelor's degree. Associate's degree and 2 years of additional experience may be exchanged in lieu of a required bachelor's degree.
  • Proficiency in data analysis tools and languages such as SQL, Python, R, or similar.
  • Ability to communicate complex data findings clearly to technical and non-technical stakeholders.
  • Familiarity with IT asset management systems and CMDBs (e.g., ServiceNow) is preferred.

Preferred Qualifications:

  • Master's degree or PhD in Data Science, Information Technology, Cybersecurity, Computer Science, or related field.
  • Demonstrated knowledge of IT service management best practices and their integration with data science initiatives. Experience with Risk Management Framework (RMF) and its application to data security and privacy. Experience with Zero Trust Architecture principles and their implementation in data environments.
  • Relevant certifications in data science or data analytics (e.g., Certified Analytics Professional (CAP), Cloudera Certified Professional Data Scientist (CCP:DS)). ITIL Foundation certificate.
  • Experience at a DoD Combatant Command (e.g., SOUTHCOM, NORTHCOM, CENTCOM, CYBERCOM, INDOPACOM, EUCOM, AFRICOM, STRATCOM, TRANSCOM, SOCOM, SPACECOM) or a component is desired.

Clearance Requirements:

  • Must have an active Secret clearance

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time.
  • Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at and provide your name and contact information.


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Frequently asked questions

Q: What skills or qualities help someone succeed as a Data Analyst?

A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.

Q: What is the career path for a Data Analyst?

A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.