Senior Data Analyst - Marketing

Key Skills

Data Analytics, Data science techniques, ETL frameworks, Python Programming, R Programming, SQL

Job Description

We are looking for a Senior Marketing Data Analyst to join our Marketing Sciences team and contribute to continuously optimizing millions of dollars of Marketing spend, leveraging advanced analytics methods and building upon a deep understanding of customers behaviors, interests and preferences.

Partnering closely with our Marketing Leads, you will guide Marketing investment decisions and drive Business impact through (among other things):

• Developing a holistic view of Marketing channels efficiency, based on an optimal sales attribution logic, robust experimentations / incrementality testing and CLV predictions
• Optimizing our SEM bidding to fuel customer acquisition or maximize ROI (for example, through identifying valuable new bidding signals and better understanding the interactions with inventory, pricing and product)
• Creating custom audiences to improve the relevance & effectiveness of our Marketing touchpoints and enhance customer engagement (in CRM, SEM, Social Media)
• Continuing to drive a customer centric mindset within the organization, through sharing insights with our leadership team into customers behaviors and experiences

As a member of the SeatGeek’s Analytics team, you will be able to collaborate with and learn from a group of high-performing analysts, data scientists and engineers!

What you'll do

• Own our business relationship with stakeholders on the Marketing team, understanding their objectives and aligning our scope of work to achieve those goals
• Develop our understanding of customers through the synthesis and interpretation of existing and novel data sources and contribute to building our Customer feature store (including model predictions and segments)
• Monitor key performance drivers and communicate the root causes of changes in channels efficiency
• Advance our channel attribution methodologies
• Assist with designing a robust experimentation plan, including incrementality tests (leveraging geo-based experimental design where required) and communicate actionable learnings and recommendations to marketing teams
• Conduct exploratory analysis to identify pockets of under-performance and optimisation levers for our SEM bidding strategy
• Work closely with data engineers to build lasting data modeling solutions, including automating analyses and authoring pipelines via SQL-based ETL frameworks

What you have

• 3+ years of relevant experience
• A degree or higher in economics, psychology, computer science, statistics, mathematics or another quantitative discipline
• Expert-level knowledge of SQL
• Experience performing analysis with large datasets
• Experience building reports and dashboards using business intelligence tools
• A track record of influencing business strategy with data
• A strong statistical understanding of online testing methodologies and metric development
• Proficiency in a scripting language (Python or R) - nice to have
• Domain expertise or past experience in marketing - nice to have

Perks

• Equity stake
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of paid family leave
• 401(k) matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building services
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music