GTM Operations Data Analyst at Tulip Interfaces GmbH

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

0.0

Posted On

19 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, GTM Strategy, Sales Operations, Forecasting, Stakeholder Management, Problem Solving, Communication, Excel, Google Sheets, SaaS Sales Methodologies, Data Governance, Dashboard Design, Project Management, Operational Efficiency, Churn Prediction, Data Modeling

Industry

Software Development

Description

This role is located in (add location) - We are a hybrid work environment and are in the office 3+ days/per week. Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category. A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.” About You: Tulip is currently looking for a GTM Operations Data Analyst to join our growing Commercial team. The ideal candidate is a highly autonomous and proactive problem-solver who thrives in a fast-paced, high-growth environment. You must be adept at navigating ambiguous requests and tight timelines, translating vague business questions into high-impact analytical projects. This role requires you to move beyond just building data models. You will own the strategy and architecture for a more robust, scalable GTM data model that serves as the single source of truth for all commercial teams. You will work independently to identify problems, structure analyses, and deliver clear, actionable recommendations to senior leadership. What Skills Do I Need? 5+ years of experience in strategic consulting, RevOps, or GTM/Sales Operations, preferably in B2B SaaS. Proven track record of designing, architecting, and owning a data strategy (GTM data a strong plus), not just executing on pre-defined models. Adept at managing ambiguity. Demonstrated ability to take broad, high-level requests under short timelines and deliver structured, insightful, and actionable results. Exceptional autonomy and initiative. You are a self-starter who doesn't wait for direction. You identify the problem, find the data, and drive to a solution. Superior communication and stakeholder management skills; ability to simplify and explain complex analyses to senior leadership. Strong plus: understanding of SaaS sales methodologies, forecasting, and GTM processes. Expertise in Excel/Google sheets. A strong plus: Proficiency with GTM tech stack (Salesforce, Sigma, ZoomInfo etc. .). Key Responsibilities: Serve as a strategic GTM Partner: Autonomously lead strategic projects from inception to completion from diagnosing operational inefficiencies to designing and implementing scalable solutions. Evolve GTM Processes: Drive the evolution of our forecasting, pipeline, and reporting processes. Move beyond dashboard maintenance to strategically redefine what we measure and how we measure it to drive accountability. Establish Data Governance: Create and maintain a scalable framework for GTM data governance and process documentation to ensure consistency and reliability. Analyze large datasets to uncover insights and support data-driven decisions around customer retention and professional services, driving growth and optimizing performance Build and refine data models to support accurate forecasting, trend analysis, and churn prediction Redesign dashboards, forecasting and pipeline processes Partner with key commercial and operations leaders to define, develop, and execute comprehensive and strategic projects designed to increase revenue, sales productivity and operational efficiency with little oversight Identify opportunities to improve efficiency of processes and demonstrate return on investment to senior management Establish formal and informal processes for collecting feedback, requirements, and enhancement requests related to sales process and tools Work cross-functionally with Sales, Finance, Marketing and Engineering to improve processes and drive change management Key Collaborators: Sales Marketing Finance Partner / Channel Sales Enablement Customer Success Professional services Working At Tulip We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered. We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include: Direct impact on product and culture Company equity Flexible work schedule and unlimited vacation policy Virtual company events and happy hours An inclusive, dog-friendly office with diverse and inspiring colleagues We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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Responsibilities

The GTM Operations Data Analyst will lead strategic projects from inception to completion, focusing on diagnosing operational inefficiencies and implementing scalable solutions. They will also analyze large datasets to support data-driven decisions and improve forecasting and reporting processes.