Data Analyst

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.

• 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.

Desired:

• 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).

What You Can Expect:

 A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. 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.

The proposed salary range for this position is: