Data Analyst (Hybrid)

CompQsoft, Inc.•Kittery, ME
•$100,000 - $105,000•Hybrid

About The Position

The Data Analyst performs analysis in support of ongoing and future SUBMEPP data analytics projects and programs. The role supports the sustainment and enhancement of existing data models, develops data and machine learning models, and supports future model expansion by applying knowledge of the models and Navy data. The analyst executes and evaluates established metrics and develops new metrics for leadership visibility and programmatic performance. The position also develops and maintains data visualizations and dashboards using Power BI or Python, and analyzes Navy ship system, maintenance, and material data to support safe, reliable, and affordable Navy vessel operations throughout their lifecycle. The role requires an active Secret clearance and a specified security certification. The employee must be on-site at PSNY during the second week of onboarding and provide part-time on-premises support, up to 60%.

Requirements

  • Active Secret clearance.
  • CompTIA Security+ certification, Global Information Assurance Certification Security Essentials Certification (GSEC), or Systems Security Certified Practitioner (SSCP).
  • Ability to communicate concisely and convincingly, verbally and in writing, with technical and non-technical stakeholders.
  • Ability to understand complex systems and overcome ambiguity.
  • Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics.
  • Proficiency with data science tools and technologies, visualization and analytics tools such as Power BI, and analytical languages such as Python and SQL.
  • Strong problem-solving skills, especially in a technical environment.
  • Ability to work in a dynamic team environment.
  • Results-driven, creative, and analytical.
  • Must be on-site at PSNY during the second week of onboarding.
  • Must provide part-time on-premises support, up to 60%.

Responsibilities

  • Perform data analysis in support of ongoing and future SUBMEPP data analytics projects and programs.
  • Support the sustainment and enhancement of existing data models.
  • Develop data models and machine learning models.
  • Support future model expansion efforts by leveraging knowledge of the model and Navy data.
  • Execute and analyze established metrics and develop new metrics for leadership visibility and programmatic performance.
  • Develop new data visualizations and sustain existing visualizations and dashboards in Power BI or Python.
  • Analyze Navy ship system, maintenance, and material data to support safe, reliable, and affordable Navy vessel operations throughout their lifecycle.
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