Business Analyst, Paid Digital Media (Starlink)

"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

BUSINESS ANALYST, PAID DIGITAL MEDIA (STARLINK)

Engineered and operated by SpaceX, Starlink delivers high-speed, low-latency internet to users all over the world. As a member of the marketing team, we are looking for a hands-on innovator who can contribute to building and advancing marketing measurement technology in a business-to-consumer and business-to-business environment and push the limits on what is scientifically possible. This role is responsible for designing and developing cutting-edge paid media measurement and optimization models while collaborating with a team of stakeholders across marketing, product, and finance.

RESPONSIBILITIES

Quantify return on marketing investment, determine optimal spend range, identify efficiency caps by channel, set budget amounts, and inform paid customer acquisition forecast targets.
Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in the mix, flighting, messaging, and tactics that help validate model results.
Conduct analyses (SQL queries, other methods) that identify issues and opportunities impacting our customers, including actionable recommendations that quantifiably change outcomes.
Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., customer acquisition, LTV, etc.).
Build various attribution models as the building blocks for an internal, proprietary attribution system by utilizing techniques such as MTA (multi-touch attribution), MMM (Marketing Mix Modeling), incrementality test as well as other emerging technologies.
Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels, and subscriber types.

BASIC QUALIFICATIONS:

Bachelor's degree.

3+ years of experience in marketing data analytics.

3+ years of experience in data programming languages like Python/R

PREFERRED SKILLS AND EXPERIENCE:

Bachelor's degree in computer science, engineering, mathematics, physics, or statistics.

5+ years of experience in applied econometric modeling, ideally in support of measuring marketing efficiency and spend optimization, flighting, and mixing to maximize return on ad spend.

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