Data Analytics & Visualization Engineer

Leidos

United States

On-site

USD 92,000 - 167,000

Full time

14 days+

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Job summary

Leidos seeks a Data Analytics & Visualization Engineer for the GAINS Team under GSM-O II to transform raw data into reliable datasets and deliver actionable insights through Kibana dashboards and other visualization tools. The role focuses on data quality, analytics, and effective communication to stakeholders within a fast-paced, Agile environment.

You will collaborate with data engineers and business analysts to design, develop, and demonstrate UI mockups and dashboards, ensuring accessibility

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline.
  • 8+ years of relevant experience in data analytics and visualization.
  • Experience designing dashboards and data visualizations with Kibana.
  • Hands-on data cleaning, transformation, and analysis using Python, SQL, or R.
  • Strong data modeling, ETL, and data pipeline development.
  • Ability to translate requirements into technical solutions and insights.

Responsibilities

  • Gather, clean, and validate data from multiple sources for accuracy and usability.
  • Analyze complex datasets to identify trends and operational insights.
  • Design and develop interactive Kibana dashboards and dashboards in other tools as needed.
  • Apply UI/UX visualization principles to ensure clear findings for stakeholders.
  • Translate analytics into actionable recommendations and present to technical and non-technical audiences.
  • Engage with stakeholders to understand business needs and data requirements.
  • Refine data transformation pipelines and maintain data quality and reliability.
  • Develop self-service analytics tools and reusable data assets for end users.
  • Document data models, business logic, and analytics workflows.

Skills

Kibana
Python
SQL
ETL
Data modeling
Git
Dashboard design

Education

Bachelor's degree

Tools

Elastic Stack
Kibana
Tableau
Power BI
Grafana

Job description

Description The Leidos Digital Modernization Group seeks a Data Analytics & Visualization Engineer for the Global Solution Management - Operations II (GSM-O II) contract, under the Global Automations & Intelligent Network Solutions (GAINS) Team. We are seeking a Data Analytics & Visualization Engineer to join the Real-Time Visibility (RTV) team. This is an exciting opportunity to work in a fast-paced environment where innovation, collaboration, and growth are at the forefront.

This role is responsible for transforming raw data into clean, reliable, and accessible datasets, and for delivering actionable insights through advanced analytics and compelling visualizations. The primary visualization tool for this position is Kibana or experience with other similar tools (i.e. Tableau, Power BI, Grafana) is preferred. The candidate will bridge the gap between raw data and operational decision-making, applying best practices in data quality, analytics, and visualization to support mission objectives. This position is ideal for candidates who are passionate about transforming data into insights, enabling operational excellence, and driving mission success through analytics and visualization, with Kibana as the primary visualization platform.

As a key Real-Time Visibility team member, you will work as part of a fast paced, Agile development and implementation team to architect, design and develop a unified User Experience / User Interface (UX/UI) that provides a holistic single-pane-of-glass interface for an integrated solution on the Kibana platform. You will also work with operational end users and support teams to perform requirements analysis, as well as design, develop and demonstrate UI mockups and wireframes.

Candidate must be within driving distance of Scott AFB. At a minimum, a Secret clearance is required upon the start of employment and within 14 days following the start date the employee must obtain their Security + certification.

Primary Responsibilities:
  • Gather, clean, and validate data from multiple sources to ensure accuracy, consistency, and usability.
  • Analyze complex datasets to identify trends, patterns, and insights that answer operational and business questions.
  • Design and develop interactive dashboards, reports, and visualizations using Kibana as the primary tool, ensuring findings are communicated clearly and effectively to stakeholders.
  • Applying the basics of visual design (i.e. UI) principles in their design work such as visual hierarchy, proximity, similarity, font selection and color theory and demonstrate an understanding of visual, layout, content organization, and accessibility guidelines.
  • Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences.
  • Engage with stakeholders to understand business needs, operational challenges, and data requirements.
  • Refine and maintain data transformation pipelines, ensuring data quality, reliability, and alignment with business logic.
  • Develop and maintain self-service analytics tools and reusable data assets to empower end users.
  • Document data models, business logic, transformation processes, and analytics workflows for transparency and knowledge sharing.
  • Work closely with data engineers, business analysts, and other stakeholders to deliver integrated data solutions.
Basic Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline and 8+ years of relevant experience.
  • Demonstrable experience designing and building data visualizations and dashboards using Kibana.
  • Hands-on experience with data cleaning, transformation, and analysis using tools such as Python (pandas, numpy), SQL, or R.
  • Strong understanding of data modeling, ETL processes, and data pipeline development.
  • Ability to translate business requirements into technical solutions and actionable insights.
  • Excellent communication skills, with the ability to present complex data findings to diverse audiences.
  • Experience with version control systems (e.g., Git) and collaborative development environments.
  • Strong attention to detail and commitment to data quality and reliability.
  • Strong communication and documentation skills for collaboration and knowledge sharing.
  • Experience in application integration design and strong communication skills for collaboration with virtual teams.
  • Ability to obtain interim Secret DoD Security clearance before the start date.
  • Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of the start date.
  • Must be able to commute to Scott AFB, IL for full-time onsite support.
Preferred Qualifications:
  • Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for data analysis and visualization.
  • Experience with other data visualization tools such as Tableau, Power BI, Grafana, or similar.
  • Experience developing self-service analytics solutions and reusable data assets.
  • Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
  • Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies.
  • Knowledge of data governance, security, and compliance best practices.
  • Experience documenting data models, business logic, and transformation processes.
  • Experience working in mission-driven or operational environments.
  • Experience developing and deploying software in a DoD environment (DISA experience is a plus).
  • Experience with DISA and DoD Networks.
  • Understanding of network routing devices and network device configurations
  • Experience with text mining tools and techniques, including ELK Stack for summarization, search, and entity extraction.
  • Familiarity with CI/CD techniques, containerized pipelines, and DevOps practices.
  • Familiarity with Kubernetes deployment, Agile methodologies, and tools.
  • Familiarity with AWS GovCloud and cloud infrastructure, including networking and security policies.
  • Experience with Agile methodologies and related tools. Experience with Atlassian tools, including JIRA and Confluence.
  • Strong understanding of Agile methodologies, including Scrum and SAFe.
  • Experience working remotely with a geographically dispersed team.

Excellent communication and collaboration skills, with the ability to engage with customers, stakeholders, team members.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Pay Range $92,300.00 - $166,850.00

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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