Senior Analyst, Marketing

Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related area.

Experience (5+ years) in an analytics role, with some experience with marketing data (MTA, MMM, Braze, Amplitude, etc) specifically media analytics

Advanced knowledge in SQL for data extraction and manipulation.

Experience building dashboards and data models using Looker and LookML.

Strong communication and presentation skills, with the ability to explain complex data findings clearly and concisely.

Ability to work independently and collaboratively within a fast-paced environment.

We're seeking a driven and insightful Senior Analyst to join our dynamic team and become a critical partner to our Marketing organization. In this role, you'll be at the forefront of transforming marketing data into actionable insights, directly influencing our spending strategies, customer retention initiatives, and lifetime value optimization. You'll manage and execute analytics requests, empowering the marketing team with the data they need to make informed decisions and drive impactful results. If you're passionate about leveraging data to fuel marketing success and thrive in a fast-paced environment, we encourage you to apply!

Work closely with our MTA & MMM data from our third party vendors and use the information to provide data-driven recommendations to our paid media team

Evaluate performance data at the channel and vendor level, proactively identify opportunities to improve marketing campaign performance, customer segmentation, and overall marketing effectiveness through data analysis

Own site funnel analytics to identify drop off points and areas of opportunity

Write complex SQL queries to extract, transform, and analyze large datasets from various sources.

We are a centralized analytics team that serves the whole business. We’re looking for someone to partner with the Marketing team to help make our data accessible and meaningful to the business. Examples of projects could be: re-defining how we calculate our LTV by collaborating with the business to align on definitions through the technical execution; deep diving biggest dropoff points in our site funnel; updating our Looker instance to incorporate more Braze data; running incrementality tests; or answering adhoc analytics questions from leadership.