Your Impact:

Handshake is hiring a Senior Product Analyst reporting to the Student Analytics Manager, on the Student Product Team. In this role you will support our product analytics effort and partner with both the student engineering team which builds our student-facing product and the broader analytics practice responsible for empowering the organization to make data-informed decisions. You are responsible for delivering product insights that drive decision making, execution, and investments for our student product initiatives. As the team grows, you will have the opportunity to drive the scaling of data-driven product development and data democratization across the company.

Your Role:

• Work side-by-side with the student product team on building a data-driven product strategy, the sizing of potential opportunities for the product, and inform team prioritization and roadmapping
• Own team goal-setting, tracking and reporting on team progress and impact, and the process behind measuring team performance
• Contribute to the vision and strategy for product analytics and the wider data organization at Handshake
• Lead by example to build a culture of accountability and rigor to substantiate proven business impact
• Advocate for the millions of students on Handshake by communicating data insights and recommendations to marketing, product and leadership teams
• Help define and build a strong data culture at Handshake by working cross-functionally with data peers and company leadership

Your Experience:

• Proven experience in using data to drive product development and decision-making, preferably working directly with engineers and wider product teams
• Strong communication and presentation skills, including the ability to translate data-related concepts and results for leadership and less technical stakeholders
• Fluency in SQL (agnostic of specific flavor)
• Experience creating dashboards and visualizations in tools such as Tableau, Looker, Mode, Periscope, etc.
• Ability to start, own, and drive projects to completion with minimal guidance
• A clear understanding and demonstrable experience in experimentation design and process development, including comfort with A/B testing and cohort analysis.

Bonus Areas of Expertise: 

• Experience working in R and/or Python with a quantitative focus
• Hands-on experience building data models and/or summary tables using tools such as dbt, Airflow, etc.