CACI
Data Analyst
- Compensation
- $69.6K–$142.7K / yr
- Location
- Riverside, CA, US
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 2+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 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 have
- 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).
Full description
Job Title: Data Analyst
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: Secret
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
- * *
The Opportunity:
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.
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.
Qualifications:
Required:
- 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.