Product Analyst

at X (Twitter)

📍 Palo Alto, United States

USD 127,000-226,000 per year

MIDDLE

✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Marketing @ 3 Python @ 3 Scala @ 3 SQL @ 5 Spark @ 5 Statistics @ 3 Tableau @ 3 Machine Learning @ 3 Data Science @ 5 Leadership @ 3 Mathematics @ 3

Details

Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we’re on a mission to become the trusted global digital public square, committed to protecting freedom of speech and building the future unlimited interactivity. Our goal is to empower every user to freely create and share ideas, fostering open public discourse without barriers. Join us in shaping this thrilling journey where your contribution will be invaluable to our success!

Responsibilities

Develop key insights into user and advertiser behavior, user journey, product usage, and churn to drive ongoing innovation and shape the future of X’s ad products.
Partner with Engineering to measure the impact of product releases and/or feature changes on the overall business landscape and inform product strategy.
Provide data and analysis support for product A/B tests, playing a pivotal role in data-driven decision-making for product changes.
Democratize the availability of product performance data to enable (self-serve) data-driven business decisions.
Engage directly with leadership across the Sales & Marketing org to understand the drivers of their business.

Requirements

Master, Post-graduate or PhD in statistics, mathematics, computer science, machine learning, information retrieval, engineering, operations research, or other quantitative discipline; or equivalent work experience.
5+ years of (product) analytics experience, working with large scale data pipelines, end-to-end data science solutions, and customer behavior analytics.
Highly proficient in SQL and Spark in large data environments.
Experience with at least one programming language (Python, Scala etc).
Vast experience in Tableau or other data visualization tools.
Strong experience with data modeling.
Demonstrated experience analyzing data and telling a story that helps align cross-functional leaders and execs.