We are guided by curiosity, passion, and optimism, and we are dedicated to enabling growth opportunities for everyone.
As a Quant Analytics Associate within the Data & Analytics team, you leverage advanced analytics to inform product development, optimize features, and guide strategic decisions. You help drive strategic growth initiatives and contribute to a collaborative, innovative team culture.
Job responsibilities
- Define and continuously monitor KPIs for the Communications product vertical analyze user behavior and product performance to uncover growth opportunities.
- Conduct deep-dive analyses to generate insights and actionable recommendations use data-driven storytelling to demonstrate value and influence the product roadmap initiatives
- Partner with QUAD to lead discovery for the Communications product-formulate problem statements, size opportunities, and define success metrics.
- Build and maintain dashboards and reporting that clearly communicate product performance present findings and recommendations to senior leadership.
- Ensure data integrity and consistency across analytics platforms partner with data engineering to enhance data collection, pipelines, and infrastructure.
- Collaborate with cross-functional teams (product, design, engineering) to inform product development and go-to-market strategies serve as the analytics subject-matter expert.
Required qualifications, capabilities, and skills
- Bachelor's degree in statistics, economics, mathematics, or engineering with significant quantitative research and data analysis for financial products
- 5+ years of applied experience with SQL, Python, Alteryx, and Tableau
- Strong critical and analytical thinking with attention to detail
- Capable of defining metrics, evaluating results, and drawing business insights
- Excellent written and verbal communication skills
- Familiarity with modern analytics platforms and data visualization tools
- Able to multi-task and prioritize, with strong organizational and problem-solving skills
- Demonstrated knowledge of analytics platforms and technical processes within a technical discipline
- Experience with LLM/AI-driven solutions, along with strong skills in designing and developing data products
Preferred qualifications, capabilities, and skills
- Master's degree in a quantitative discipline
- Prior exposure to marketing, competitive intelligence, or strategic analytics
- Ability to tell stories through data and generate insights to drive stakeholder deliverables
- Highly organized, intellectually curious, and able to prioritize multiple tasks
