Business Analyst

Placement Type:

Temporary

Salary:

$97.96-106.54 Hourly

W2

Start Date:

Oct 19, 2026

Duration:

Approx. 8 Month Assignment

Aquent is partnering with a leading global technology company at the forefront of innovation, dedicated to creating products and services that impact billions worldwide. This organization is committed to maintaining a safe and reliable digital environment. This is an unparalleled opportunity to leverage your analytical prowess to directly influence critical operational and risk-mitigation strategies, ensuring the integrity and quality of a vast digital ecosystem. Your contributions will be instrumental in shaping the future of platform safety and user experience on a global scale.

About the Company

Join a global technology leader that builds products and services impacting billions of users every day. This organization is deeply committed to fostering a safe, reliable, and equitable digital environment, driving innovation that shapes the future of how people connect and interact worldwide. You will be part of a team that champions operational excellence and strategic foresight in a dynamic, fast-paced landscape.

About the Opportunity

Step into a pivotal role where your analytical insights will drive strategic decisions and optimize global operations within a critical platform ecosystem. As a key analytical contributor, you will be at the heart of understanding complex data, identifying emerging risks, and shaping the future of platform integrity. You'll translate intricate data into actionable strategies, influencing cross-functional teams and senior leadership to foster a secure and efficient digital environment. This role offers the chance to become a subject matter expert, making a tangible impact on operational excellence and risk management for products used by millions globally.

Your Impact & Responsibilities

• Drive and recommend data-oriented analysis, architect core operational metrics, synthesize complex datasets, and influence cross-functional leadership by presenting actionable insights and recommendations.
• Solve complex business problems within platform integrity and user safety, focusing on risk-based analysis, appeals process optimization, and efficiency improvements across global content operations.
• Design and build self-service data tools, dashboards, and reporting mechanisms that empower engineers, workflow owners, and operations leads to access real-time data and make rapid decisions.
• Respond to ad-hoc business questions from cross-functional partners, providing statistical support, technical analysis, and executive-ready presentations to senior leaders.
• Partner directly with Product Management, Engineering, Data Science, and Operations teams to align on strategic objectives and success metrics, fostering collaborative solutions.

What You'll Bring (Required Qualifications)

• 6+ years of professional experience in business analytics, data science, or product analytics roles.
• Undergraduate-level statistical rigor (or equivalent applied experience) including distributions, confidence intervals, and hypothesis testing.
• Moderate to advanced SQL querying skills (equivalent to W3Schools Intermediate/Advanced level) for robust data extraction, manipulation, and analysis.
• Demonstrated experience with business operations, risk analysis, or process optimization, particularly within high-volume technology operations.
• Comfort navigating complex, ambiguous data environments and arriving at reliable, quality findings with minimal oversight.
• Strong data visualization skills (e.g., Looker) and proven experience building clean, self-service reporting tools.
• Strong executive communication skills; ability to translate complex data into concise, structured decks/slides for leadership.
• High autonomy and adaptability to manage stakeholder requests in a fast-paced, rapidly changing environment.

Bonus Points (Preferred Qualifications)

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