Handshake is hiring a Senior Marketing Analyst reporting to the Product Analytics Manager (eventual move to a growing Marketing Analytics Team). In this role, you will support our B2C marketing analytics effort and partner with both the product and data team to build the broader analytics practice responsible for empowering the organization to make data-informed decisions. You are responsible for delivering marketing insights that drive decision-making, execution, and investments for our marketing initiatives. As the team grows, you will have the opportunity to drive the scaling of data-driven marketing strategy and data democratization across the company.
Work side-by-side with our marketing leaders on building a data-driven marketing strategy, the sizing of potential opportunities for marketing, and inform team prioritization and road mapping.
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 marketing analytics and the wider data organization at Handshake
Lead by example to build a culture of accountability and rigor to substantiate the 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
Proven experience in using data to drive marketing strategy and decision-making, preferably working directly with business leaders and wider marketing 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, including setting goals/OKRs
A clear understanding and demonstrable experience in experimentation design and process development, including comfort with A/B testing and cohort analysis.
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.