Partnerships Operations Analyst

Key Responsibilities

Project Management & Operational Support

• Cross-functional Coordination: serve as the operational backbone for Global Partnerships initiatives — tracking timelines, coordinating action items across teams, and ensuring deliverables stay on schedule
• Project Tracking: maintain up-to-date project trackers, status dashboards, and milestone logs for ongoing Partnerships programs; flag risks, blockers, and delays to relevant stakeholders in a timely manner
• Meeting Facilitation: prepare agendas, capture meeting notes, and distribute follow-ups for key Partnerships Ops meetings; ensure decisions and action items are documented and tracked to completion
• Stakeholder Communication: draft internal updates, status summaries, and briefings to keep leadership and cross-functional partners aligned on project progress
• Process Documentation: develop and maintain clear documentation for reporting workflows, operational procedures, and recurring processes to ensure continuity and scalability
• AI & Innovation: champion AI-driven initiatives within the Partnerships team, identifying opportunities to integrate automation and intelligent tools into ongoing projects and workflows

Reporting & Data Analysis

• Dedicated Partnership Reporting: own the creation, execution, and distribution of scheduled daily, weekly, and monthly operational reports, with a strong focus on partnership metrics and KPIs
• Ad-hoc Analysis: respond to urgent, non-standard data requests from the Global Partnerships team, including complex data pulls, custom modeling, and scenario analysis
• Data Integrity: validate report outputs against source systems to ensure accuracy and consistency; proactively identify and escalate anomalies or discrepancies in partnership data
• Trend Analysis: perform initial trend analysis and translate findings into concise summaries that surface performance opportunities, risks, and actionable insights for the Partnerships team
• User Enablement: help prepare training materials and conduct brief sessions to support end-users in correctly interpreting standard reports and using data tools

What We're Looking For

• Education: Bachelor's degree in Business Administration, Finance, Operations, Information Systems, or a related field (or equivalent practical experience)
• Experience: 2–4 years of professional experience in an operations, analytics, or project coordination role, ideally within a partnerships, sales operations, or commercial environment
• Project Coordination: demonstrated ability to manage multiple workstreams simultaneously — tracking timelines, coordinating across teams, and driving tasks to completion with minimal supervision
• Technical Proficiency: advanced competency in Microsoft Excel and Google Sheets (pivot tables, VLOOKUP/XLOOKUP, complex formulas, conditional formatting); familiarity with CRM platforms (e.g., Salesforce) and BI or reporting tools is a plus
• Detail Orientation: exceptional attention to detail and commitment to data accuracy when handling and verifying large datasets
• Communication: strong written and verbal communication skills, with the ability to translate data into clear business language and synthesize project updates for a range of stakeholders
• English Proficiency: professional-level English (written and spoken) is required; the role involves daily communication with global stakeholders and documentation in English
• AI Platform Fluency: hands-on experience working with AI platforms such as Claude, Gemini, ChatGPT, or similar tools; comfort using AI assistants to accelerate research, drafting, analysis, and operational workflows is expected
• Adaptability: comfortable shifting between structured reporting tasks and fast-moving operational support in a dynamic, global environment
 

What You'll Get

Direct ownership of reporting and operational processes that feed into real business decisions across a global partnerships function
Exposure to cross-functional collaboration at a senior level — working alongside Partnerships, Sales, Finance, and leadership teams across multiple markets
Hands-on experience with AI tools in a professional setting, with active encouragement to experiment and build smarter workflows
A role with genuine variety — no two weeks look the same, and you'll build skills across data, operations, and project management simultaneously