Data Analyst

Title: Data Analyst III

Location: Portsmouth, NH ( Onsite Role)

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

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