Data Analyst – Entry Level

Fall Application Period: August 24, 2026 - November 6, 2026. Position is in Houston, TX in a hybrid working model.

About the role

As an Entry Level Data Analyst, you’ll work with cross-functional teams to prepare, analyze, and interpret data that shapes business decisions and solutions. You’ll gain hands-on experience with modern analytics tools and technology-enabled workflows, building strong foundations in data analysis, visualization, problem-solving, and responsible data practices.

Responsibilities

• Develop a strong understanding of your client’s industry, organization, customers, and business objectives.
• Build trusted relationships with clients and teammates by asking thoughtful questions, actively listening, and clarifying business needs.
• Collaborate with clients and cross-functional teams to translate business questions and needs into analytical approaches and solutions.
• Apply foundational analytical techniques to identify trends, compare results, test assumptions, and draw meaningful conclusions from data.
• Collect, prepare, analyze, and interpret data to identify trends, patterns, and insights that help answer client questions and inform decisions.
• Support the development of reports, dashboards, visualizations, and other data-driven solutions that turn information into meaningful insights.
• Communicate findings and insights clearly through data storytelling and visualizations that technical and non-technical audiences can understand.
• Use modern and AI-enabled tools to support data preparation, exploration, analysis, visualization, and insight generation.
• Apply responsible AI practices by considering privacy, security, data quality, transparency, and appropriate human oversight when using AI-enabled tools.
• Support data quality, validation, documentation, testing, and continuous improvement activities throughout the project life cycle.

Requirements

• Bachelor’s degree in Data Science, Information Systems, Computer Science, Statistics, Business Analytics, or a related field.
• Authorization to work in the United States on a permanent basis without current or future employer sponsorship.
• Certain positions may also require U.S. Citizenship and/or the ability to obtain and maintain a U.S. government security clearance based on client or government requirements.
• Curiosity, professionalism, and a strong desire for continuous learning.
• Strong analytical and problem-solving skills, with comfort navigating ambiguity and complex information.
• Clear written and verbal communication skills with the ability to simplify and explain complex ideas.
• Collaborative mindset and ability to work effectively with fast-paced cross-functional teams.
• Foundational proficiency in data analysis concepts and techniques, including data preparation, exploration, visualization, and interpretation.
• Foundational proficiency in data analysis tools and technologies such as SQL, data visualization tools (e.g., Power BI or Tableau), and/or programming languages used for data analysis (e.g., Python or R).
• Exposure to data analysis through coursework, internships, research, or personal projects is preferred but not required.
• Foundational understanding of data/AI engineering and analysis concepts and technologies, such as object-oriented programming, artificial intelligence and machine learning, APIs, testing, version control, and the software development lifecycle.
• Interest in learning and responsibly using AI-enabled tools, analytics platforms, and modern data technologies to support data-driven decision-making.

Pay

A reasonable estimate of the current range is $58,000 - $95,700.

Benefits

• You are invited to be an owner from day one as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
• Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
• You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.