Data Analyst/Data Engineer

Washington, D.C.

At IPT Associates (IPTA), we enjoy solving real-world problems with technology. We work closely with our customers, teammates, experts, and partners to come up with practical solutions that make a difference. Whether it's a government or business organization, we focus on understanding the need and building something that works.

Our Team

At IPTA, everything starts with our people. We're big believers that when you invest in your team, great things happen. That's why we encourage learning, growth, and trying new things-even if you don't have all the answers yet.

Our culture is rooted in fierce determination, fearless integrity, and passionate service-but we also like to keep things collaborative, supportive, and down-to-earth.

We're Looking For People Who

• Are curious and excited about technology
• Like solving problems and figuring things out
• Can take initiative but also enjoy working with a team
• Want to keep learning, growing, and challenging themselves

If you're someone who's eager to jump in, learn something new, and make an impact-you'll fit right in here.

Responsibilities

• Data analysis and visualization
• Development of performance metrics and reporting frameworks
• Experience with business intelligence tools (e.g., Power BI, Tableau, or equivalent)
• Proven ability to translate data into actionable insights for decision-making
• KPI development
• Executive Reporting

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Minimum of five (5) years of experience in data analytics or business intelligence
• Minimum of three (3) years supporting reporting, dashboards, or performance metrics
• Active DHS Suitability / Public Trust Clearance

IPTA is an Equal Opportunity Employer. All employment decisions are based on individual merit, including qualifications, experience, performance, and business needs, consistent with applicable federal laws and federal contracting requirements. IPTA provides equal opportunity and utilizes merit-based principles to make employment-related decisions.

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