Data Analytics & Visualization Engineer - Rmantras

RMANTRA SOLUTIONS INC.

Scott, LA, United States

9 days ago

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Role details

Contract type

Contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Agile Methodology Amazon Web Services Data Analysis Application Integration Architecture Business Logic Confluence JIRA Microsoft Azure Big Data Cloud Computing Continuous Integration Data Cleansing

+36 more

Data Governance Extract Transform Load (ETL) Data Systems Data Visualization DevOps Digital Assets Document-Oriented Databases Elasticsearch Networking Hardware Python (Programming Language) Network Security Named Entity Recognition NumPy Scrum Methodology Power BI Logstash Software Deployment SQL Databases Tableau (Software) Text Mining Web Content Accessibility Guidelines Network Routing Google Cloud Cloud Platform System Grafana Git Pandas Kubernetes Information Technology Atlassian Tools Data Analytics Color Theory Kibana Software Version Control Data Pipelines Elk Stack

Job description

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.

Requirements

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. *, * 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. *