C3EL is seeking 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. 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.
Responsibilities will include, but not be limited to:
- 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.