Data Analytics & Visualization Engineer

Meridian Technologies

$80K — $110K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data analytics and visualization.
  • Strong proficiency in the Elastic Stack, mainly Kibana.
  • Experience creating self-service analytics solutions and reusable data assets.
  • Familiarity with cloud platforms like AWS, Azure, or GCP.
  • Knowledge of data governance and compliance regulations, particularly in DoD environments.
  • Understanding of basic networking concepts, routing, and configurations.
  • Expertise in Agile methods and tools, such as JIRA and Confluence.

Responsibilities

  • Gather and validate data from multiple sources for accuracy and usability.
  • Analyze datasets to identify trends and insights for business decision-making.
  • Design and develop interactive dashboards using Kibana, adhering to visual design principles.
  • Translate analytical findings into actionable recommendations for diverse stakeholders.
  • Collaborate with stakeholders to define data needs and operational challenges.
  • Build and maintain data transformation pipelines and self-service analytics tools.
  • Document analytics processes and workflows to ensure clarity and usability.

Benefits

  • Opportunity to work remotely with a distributed team.
  • Engagement with cutting-edge technologies and methodologies.
  • Collaborative work environment with cross-functional teams.
  • Potential for personal growth through diverse project experiences.
  • Access to tools and resources supporting continuous learning and development.
Full Job Description
Job Description

Data Analytics & Visualization Engineer

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 address operational and business questions.
  • Design and develop interactive dashboards, reports, and visualizations using Kibana as the primary tool, applying strong UI/visual design principles (hierarchy, color theory, accessibility, etc.).
  • Translate analytical findings into clear, actionable recommendations and present them effectively to both technical and non-technical stakeholders.
  • Collaborate with stakeholders to understand business needs, operational challenges, and data requirements.
  • Build and maintain data transformation pipelines, self-service analytics tools, and reusable data assets.
  • Document data models, business logic, transformation processes, and analytics workflows.
  • Work closely with data engineers and cross-functional teams to deliver integrated, high-impact data solutions.
Preferred Qualifications
  • Strong experience with the Elastic Stack (Elasticsearch, Logstash, Kibana) for analysis and visualization.
  • Proficiency with additional visualization tools such as Tableau, Power BI, or Grafana.
  • Experience building self-service analytics solutions and reusable data assets.
  • Familiarity with cloud platforms (AWS, Azure, GCP, AWS GovCloud) and big data technologies.
  • Knowledge of data governance, security, compliance, and DoD/DISA environments (DISA experience is a plus).
  • Understanding of network devices, routing, and configurations.
  • Experience with text mining, summarization, search, and entity extraction using the ELK Stack.
  • Familiarity with Kubernetes, CI/CD practices, DevOps methodologies, and Infrastructure as Code.
  • Strong Agile experience (Scrum, SAFe) with tools like JIRA and Confluence.
  • Excellent communication and collaboration skills, comfortable working remotely with geographically dispersed teams.


Job Requirements

Kibana, Elastic, DoD, Agile, Jira, Confluence, AWS, Tableau, Power BI, Grafana

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is required to use hands and fingers, reach, climb stairs, walk, sit for prolonged periods of time, talk, and hear. The employee must occasionally lift and/or move up to twenty-five pounds.

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