SQL Data Analyst

CACIRiverside, CA
Onsite

About The Position

CACI is seeking a skilled and experienced SQL Data Analyst to support the Data & Analytics team at Naval Surface Warfare Center (NSWC) Corona. The ideal candidate will have a strong background in data visualization, data processing, and proficiency in SQL and Tableau. The SQL Data Analyst will be responsible for transforming complex data into actionable insights, creating compelling visualizations, and supporting data-driven decision-making across the organization.

Requirements

  • Bachelor’s degree in related field.
  • 2-5 years of experience as a Data Analyst.
  • Proficiency in SQL for data analysis and scripting.
  • Proven experience with Tableau for data visualization.
  • Strong experience in data processing and cleaning.
  • Excellent analytical and problem-solving skills.
  • Strong attention to detail and data accuracy.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.
  • Knowledge of statistical methods and techniques.
  • U.S. Citizenship required for security clearance purposes.
  • Ability to obtain and maintain a security clearance.

Nice To Haves

  • Experience with other data visualization tools (e.g., Power BI, Looker).
  • Knowledge of machine learning algorithms and techniques.
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).

Responsibilities

  • Analyze large datasets to identify trends, patterns, and insights.
  • Create interactive and insightful data visualizations using Tableau.
  • Present data findings to stakeholders in a clear and concise manner.
  • Clean, transform, and preprocess data to ensure accuracy and reliability.
  • Develop and maintain data pipelines for efficient data flow and storage.
  • Ensure data integrity and perform quality checks on datasets.
  • Write efficient SQL scripts for data manipulation, analysis, and automation.
  • Collaborate with data engineers to integrate SQL-based solutions into existing data infrastructure.
  • Work closely with cross-functional teams to understand their data needs and provide analytical support.
  • Assist in the development and implementation of data strategies and initiatives.
  • Provide training and support to team members on data tools and techniques.

Benefits

  • flexible time off
  • robust learning resources
  • comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
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