About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

This entry-level Data Analyst role supports client teams by preparing, analyzing, and visualizing data to inform business decisions. You will work in a hybrid model based in Houston, TX, collaborating with cross-functional teams and using modern analytics and AI-enabled tools while following responsible data practices.

• Collect, clean, and prepare data from multiple sources for analysis.
• Apply foundational analytical techniques to identify trends, test assumptions, and draw conclusions.
• Build reports, dashboards, and visualizations that communicate insights to technical and non-technical audiences.
• Translate business questions into analytical approaches and prototype solutions.
• Use SQL and/or scripting (Python or R) to query and manipulate data.
• Leverage data visualization tools (Power BI, Tableau, or similar) to create clear, actionable dashboards.
• Work with AI-enabled tools responsibly—considering privacy, security, data quality, transparency, and necessary human oversight.
• Support documentation, testing, validation, and continuous improvement across project life cycles.
• Build trusted relationships with clients and teammates by asking thoughtful questions and clarifying business needs.

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What You’ll Bring

• 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 require U.S. Citizenship or the ability to obtain/maintain a U.S. government security clearance.)
• Strong analytical and problem-solving skills and comfort working with ambiguous information.
• Clear written and verbal communication skills; ability to explain complex ideas simply.
• Collaborative mindset and ability to work effectively in fast-moving cross-functional teams.
• Foundational proficiency in data analysis concepts: exploration, preparation, visualization, and interpretation.
• Familiarity with tools/technologies such as SQL, Power BI or Tableau, and/or Python or R. Coursework, internships, research, or personal projects that demonstrate relevant exposure are valuable.
• A curiosity to learn modern analytics platforms, AI-enabled tools, and development/engineering concepts (APIs, version control, SDLC).

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Compensation & Location

• Location: Houston, TX (hybrid working model).
• Employment type: Full-time, entry-level (graduate).
• Salary estimate (employer-provided): $58,000 - $95,700 per year. This is a reasonable estimate and actual pay will depend on experience, skills, and other lawful factors.

Fall Application Period: August 24, 2026 - November 6, 2026.

Note: This posting follows applicable federal and Texas employment laws. Candidates will receive equal consideration regardless of protected characteristics. All offers may be contingent on background checks or other role-specific requirements where permitted by law.

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Why Join Our Client

• Opportunities to learn on real projects with experienced teams.
• Exposure to modern analytics stacks and responsible AI practices.
• Career development and mentorship in a large, global IT environment.
• Collaborative culture that values ownership, continuous learning, and impact.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.