Data Analyst

Description

Title: Data Analyst III

Location: Portsmouth, NH ( Onsite Role) 

Certification:  Security + or GSEC or  SSCP. or any IAT Level 2 or 3

Requirements

 Job description

• Assists  in developing data quality measures, analyzing data quality results,  and implementing necessary changes to ensure data quality improvement.
• May  develop and implement databases, data collection systems, data  analytics, and other strategies that optimize statistical efficiency and  quality.

Responsibilities:

• Perform data analysis in support of ongoing and future Data Analytics projects and programs.
• Ability  to communicate concisely and convincingly (both verbally and written)  with both technical and non-technical stakeholders.
• Demonstrate ability to understand complex systems and overcome ambiguity.
• Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics.
• Proficiency  in data science tools and technologies, visualization/analytics tools  (e.g., Power BI), as well as analytical languages (e.g., Python, SQL,  and other industry standard technologies)
• Demonstrate strong problem-solving skills, especially in a technical environment.
• Demonstrate ability to work in a dynamic team environment.
• Results-driven, creative, and analytical.
• Perform data analysis in support of ongoing and future SUBMEPP Data Analytics projects and programs.
• Support sustainment and enhancement of existing data models.
• Develop data models and machine learning models.
• Support future model expansion efforts by leveraging innate knowledge of the model and Navy data.
• Execute and analyze established metrics and develop new metrics for both leadership visibility and programmatic performance.
• Develop new and sustain existing data visualizations and dashboards in Power BI or Python
• Perform  analysis on Navy ship system, maintenance, and material data to ensure  safe, reliable, affordable operations of Navy vessels through their  lifecycle. 

Skills:

• Ability  to communicate concisely and convincingly (both verbally and written)  with both technical and non-technical stakeholders.
• Ability to understand complex systems and overcome ambiguity.
• Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics.
• Proficiency  in data science tools and technologies, visualization/analytics tools  (e.g., Power BI) and analytical languages (e.g., Python, SQL, etc…).
• Strong problem-solving skills.
• Demonstrate ability to work in a dynamic team environment.
• Results-driven, creative, and analytical