Data Analyst

CACI InternationalRiverside, CA

About The Position

CACI is seeking a skilled Data Analyst with 2-5 years of experience 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 Python. The 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 or in a similar role.
  • Proven experience with Tableau for data visualization.
  • Strong experience in data processing and cleaning.
  • Proficiency in Python for data analysis and scripting.
  • 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.
  • Familiarity with SQL and database management systems.
  • 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 Python scripts for data manipulation, analysis, and automation.
  • Utilize Python libraries (e.g., Pandas, NumPy, Matplotlib) to perform advanced data analysis.
  • Collaborate with data engineers to integrate Python-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

  • Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.
  • We offer competitive compensation, benefits and learning and development opportunities.
  • Our broad and competitive mix of benefits options is designed to support and protect employees and their families.
  • At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
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