SpaceX designs, manufactures and launches the world’s most advanced rockets and spacecraft. The company was founded in 2002 by Elon Musk to revolutionize space transportation, with the ultimate goal of making life multiplanetary.

SpaceX has gained worldwide attention for a series of historic milestones. It is the only private company ever to return a spacecraft from low-Earth orbit, which it first accomplished in December 2010. The company made history again in May 2012 when its Dragon spacecraft attached to the International Space Station, exchanged cargo payloads, and returned safely to Earth — a technically challenging feat previously accomplished only by governments. Since then Dragon has delivered cargo to and from the space station multiple times, providing regular cargo resupply missions for NASA.

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.
• 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 with an understanding of measurement and optimization best practices
• 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
• Excellent written and verbal communication skills while addressing various stakeholders across creative, content, marketing, product, and finance teams.
• The ideal candidate should be able to present business cases, document models, analyses, and results to influence important decisions.
• Ability to embrace rapid iterations rooted in a culture that sets demanding goals and moves extremely fast.