Turn this role into an interview — a resume and cover letter built around what this employer wants.
Aleph is seeking a Partnerships Operations Analyst to join our Global Partnerships team in the United States. You will deliver accurate reporting and analysis to improve partner performance visibility while coordinating cross-functional projects and maintaining a project tracker.
This role blends data work with day-to-day operational support in a fast-growing, global environment. The ideal candidate is comfortable building pivot tables and managing project trackers, and brings a proactive
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long‑lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast‑growing, innovative team where your work makes a direct impact. If you’re ambitious, forward‑thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
The Partnerships Operations Analyst plays a dual role at the intersection of data and operations within the Global Partnerships team. This position is responsible for delivering accurate, timely reporting and analysis that drives partner performance visibility, while also serving as a key operational contributor — coordinating cross‑functional projects, tracking initiative progress, and supporting the day‑to‑day execution of Global Partnership Ops. The ideal candidate is equally comfortable building a pivot table and managing a project tracker, and brings a proactive mindset to both data and operational challenges.