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Jr Data Analyst and System Engineer

CACI Denver, Colorado, United States | Dulles, Virginia, United States | Loudoun County, Virginia, United States onsite
FULL_TIME Active
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Job Details

Company
caci
Location
Denver, Colorado, United States | Dulles, Virginia, United States | Loudoun County, Virginia, United States
Work Type
onsite
Job Type
FULL_TIME
Posted
January 1, 1970

Description

Job Title: Jr Data Analyst and System Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US Anticipated Posting End: 4/30/2026 The Opportunity The role involves leveraging expertise in OLAP tools and data modeling to gather analytical requirements, develop robust data frameworks, and create insightful reports and dashboards, while also performing statistical analyses and predictive forecasting to drive data-driven decision-making. Responsibilities Responsible for maintaining knowledge of online analytical processing (OLAP) tools. Gathers analytical requirements working with subject management experts. Develops data frameworks for data analysis to support end-user data discovery. Designs and develops data models that optimize analytical reporting performance. Develops data extraction, transformation, cleansing, and loading processes between transactional and analytical systems. Builds reports, dashboards, and OLAP databases to support end-user reporting and information requirements. Performs statistical analyses on data and predictive forecasting. Analyzes and interprets results using statistical techniques. Interpret trends or patterns in complex data sets. Qualifications Required: Basic Data Analysis: Ability to work with structured and unstructured data to identify patterns and trends. Foundational Programming: Exposure to languages such as Python, R, or SQL for data manipulation and reporting, and clean coding practices using Git. Introductory Machine Learning Concepts: Familiarity with basic algorithms and model-building principles. Data Visualization: Ability to create intuitive charts, dashboards, and maps that highlight key insights and support data-driven decisions. Understanding of Data Management: Awareness of data governance, metadata, and data quality principles. Problem-Solving Skills: Ability to approach analytical challenges with curiosity and logical thinking. Collaboration: Effective in cross-functional teams, balancing independent problem-solving with integration into larger, shared deliverables. Communication: Ability to clearly and concisely present findings to diverse audiences, including fellow analysts, SMEs, and business stakeholders. Adaptability & Learning Mindset: Eager to learn new tools, technologies, and methodologies quickly. Domain Awareness: Interest in pattern-of-life analysis, anomaly detection, and trending models. Desired: Cloud: Introductory knowledge of cloud platforms such as AWS. Advanced Machine Learning Concepts: Proficiency in advanced algorithms, feature engineering, model evaluation, and tuning. - _________________________________________________________________________ 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. Your potential is limitless. So is ours. _________________________________________________________________________ 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,
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