Data Analyst

CompQsoft • Full-time • Portsmouth, NH, US • 1w ago

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