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As a Sr. Marketing Data Analytics Manager at Eventbrite, you'll leverage data to optimize marketing strategies, collaborate with senior leaders, and drive impactful insights using tools like SQL, Tableau, and Snowflake.
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Eventbrite, Inc.
At Eventbrite, the Sr. Marketing Data Analytics Manager will collaborate with senior marketing leaders to optimize marketing impact and drive business growth. This role involves defining success metrics, analyzing campaign effectiveness, and communicating insights to stakeholders. The team uses tools like Heap, Statsig, Tableau, Hubspot, Braze, Salesforce, and Snowflake. The candidate should have 5+ years in marketing analytics, experience with attribution models, statistical analysis, and data storytelling. They will also mentor junior analysts and work on SQL queries and Tableau dashboards.
Eventbrite has the world’s largest data repository of live events, powering millions of events and hundreds of millions of ticket transactions each year in 170+ countries. The Marketing Analytics team’s mission is to leverage all this data so we can build a better product to help our Creators better manage and promote their events, support our Attendees to find the perfect event, and grow our business. As we position Eventbrite for continued success, we are looking for a Sr. Marketing Data Analytics Manager who is a strong individual contributor and collaborator with a proven track record of working with marketing teams to optimize marketing impact. This role will report into Product analytics in the short-term and in the long-term sit in the marketing organization as we build and scale this capability. This person will partner with senior marketing leaders, product marketing teams, and other analysts to define, measure, and analyze the impact of marketing efforts and concisely communicate insights. As a marketing data expert, you will play a key role in reshaping the success of Eventbrite marketing.
Today, our Marketing Analytics team is a small but growing team centralized within the Data Organization alongside Product Analytics. Our scope spans multiple user types and business models across the entire breadth of the business and multiple types of marketing (Product Marketing, Growth, Performance, Lifecycle, Brand etc.). We leverage various tools and data sources to generate novel insights and recommendations that drive impact. We conquer significant problems by putting our heads together, learning, supporting, and mentoring each other to reach greater heights as a team and company.
Our data operations rely on diverse, powerful technologies, including Heap, Statsig, Tableau, Hubspot, Braze, Salesforce and Snowflake.
Collaborate with senior marketing leaders as a thought partner
Define & standardize how we measure marketing’s success and refine marketing attribution
Derive and communicate actionable insights for marketing stakeholders to successfully operate at scale
Collaborate with data engineering to outline our marketing data models
Develop SQL queries, Tableau dashboards, and analyses that enables you, other analysts, and your partners to more efficiently glean insights and work with data
Empower your partners to self-serve on data and increase its frequently in decision making
Coach, mentor, and guide more junior analysts with a path towards potentially managing direct reports
5+ years experience working in marketing analytics
Experience partnering with marketing teams, marketing campaigns, and marketing data
Experience defining and leveraging marketing attribution
Experimentation and statistical understanding when measuring marketing campaigns/actions
Strong interpersonal and proactive communication skills
Ability to distill complicated problems into simpler actionable frameworks
Proven track record driving insights and impact with a natural knack for data storytelling
High autonomy and ability to independently prioritize and manage multiple concurrent projects
Deep experience with data languages/tools and how to leverage them including SQL, Tableau, Snowflake, Heap, & Github (or similar tools).
Graduate degree in statistics, math or related technical field
Demonstrated experience using advanced statistical / data science techniques to deliver insights and measure impact
Previous roles as a marketer or embedded within Performance or Lifecycle marketing teams
Experience directly managing analysts
