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New

Business Analyst

Skill
$97.96 - $106.54 / hr
United States, Washington, Kirkland
Oct 31, 2026
Overview

Placement Type:

Temporary

Salary:

$97.96-106.54 Hourly

W2

Start Date:

Oct 19, 2026

Duration:

Approx. 8 Month Assignment

Aquent is thrilled to partner with a leading global technology company that crafts groundbreaking products and services, impacting billions of users every single day. This organization stands at the forefront of innovation, passionately dedicated to cultivating a safe, reliable, and equitable digital environment that profoundly shapes how people connect and interact worldwide. If you're ready to leverage your analytical expertise to directly influence crucial operational and risk-mitigation strategies, ensuring the integrity and quality of a vast digital ecosystem that touches lives globally, this is an unparalleled opportunity to make a tangible difference.

Are you a visionary analytical professional ready to dive deep into complex data, uncover critical insights, and drive strategic decisions for a platform that serves billions? We are seeking an exceptional individual to step into a pivotal role where your expertise will directly shape the future of platform safety and user experience. This is your chance to become a subject matter expert, delivering insights that directly influence operational excellence and risk management on a global scale. You will be instrumental in solving challenging business problems, optimizing processes, and empowering teams with data-driven solutions in a dynamic and fast-paced environment.

Your Impact & Key Responsibilities



  • Lead the charge in data-oriented analysis, architecting core operational metrics, and synthesizing complex datasets to present actionable insights and recommendations that influence cross-functional leadership.
  • Tackle intricate business challenges within platform integrity and user safety, focusing on robust risk-based analysis, optimizing appeals processes, and driving efficiency improvements across global content operations.
  • Design and implement intuitive self-service data tools, interactive dashboards, and comprehensive reporting mechanisms, empowering engineering, workflow owners, and operations leads with real-time data for rapid decision-making.
  • Serve as a go-to expert for ad-hoc business questions from cross-functional partners, providing rigorous statistical support, in-depth technical analysis, and executive-ready presentations for senior leaders.
  • Collaborate directly with Product Management, Engineering, Data Science, and Operations teams to forge alignment on strategic objectives and success metrics, fostering innovative and collaborative solutions.


Must-Have Qualifications



  • 6+ years of progressive professional experience in business analytics, data science, or product analytics roles.
  • Demonstrated undergraduate-level statistical rigor or equivalent applied experience, including a strong grasp of distributions, confidence intervals, and hypothesis testing.
  • Moderate to advanced SQL querying skills, proven in robust data extraction, manipulation, and in-depth analysis.
  • Extensive experience with business operations, risk analysis, or process optimization, particularly within high-volume technology environments.
  • Proven comfort navigating complex, ambiguous data landscapes and consistently delivering reliable, high-quality findings with minimal oversight.
  • Strong data visualization proficiency (e.g., Looker) and a track record of building clean, effective self-service reporting tools.
  • Exceptional executive communication skills, with the ability to translate complex data narratives into concise, structured presentations for leadership.
  • High degree of autonomy and adaptability, capable of managing diverse stakeholder requests effectively in a rapidly changing, fast-paced environment.


Nice-to-Have Qualifications



  • Prior experience in platform integrity or risk management within a major technology company.
  • Familiarity with Python or R for advanced data manipulation and statistical analysis.
  • Experience or familiarity with leveraging or designing AI-assisted analytics tools.

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