What are the responsibilities and job description for the Data Analyst position at CompQsoft?
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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
CompQsoft provides equal opportunity in all aspects of employment and in the working environment to all employees and applicants. CompQsoft does not take any non-merit factors like race, color, religion, sex (gender), mental/physical disability, and age into account for purposes of recruitment, hiring and development.
