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Revenue Operations Specialist

Easygenerator·Salary not specified

Primary stack

Power BISalesSQL

Nice to have's

Snowflakedata analysisbusiness operations

Job description

About the Position

Revenue Operations Specialist

Easygenerator is a fast-growing EdTech scale-up, headquartered in Dubai, on a mission to revolutionize learning with our award-winning authoring tool. Trusted by global giants like Kellogg’s, T-Mobile, and Siemens.

We are an AI-First Company, not only in the products we build but also in how we operate internally. You’ll gain hands-on experience with cutting-edge AI tools, learn how to use AI to work smarter, and develop a future-proof skillset that will keep you ahead in your career.

We’re looking for a Revenue Operations Specialist to join our growing GTM team. This is an excellent opportunity for someone in their career who loves working with data and wants to learn how data powers revenue growth in a fast-scaling SaaS company.

Location

Alexandria, Egypt

Employment Type

Full time

Location Type

Hybrid

Department

Revenue Operations & Enablement

Responsibilities

  • Build and maintain Salesforce reports, dashboards, and data models that track key metrics like pipeline health, forecast accuracy, and conversion rates.
  • Analyze GTM data to help Business Development, Sales, Marketing, and Customer Success make data-driven decisions.
  • Use Power BI and Snowflake to combine data from different systems and create insights across the full customer lifecycle.
  • Support forecasting and revenue performance analysis, including pipeline tracking and deal stage analysis.
  • Collaborate with Data Engineering to ensure data quality and consistency in Salesforce and Snowflake.
  • Work closely with RevOps and other commercial leadership to identify process bottlenecks and recommend improvements.
  • Partner with internal teams on ad-hoc analysis, data requests, and operational projects.
  • Contribute to documentation and process improvements within the Revenue Operations function.

Requirements

  • 3+ years of experience in data analysis, business operations, or a similar data-focused role.
  • Strong skills in SQL and comfort working with large datasets (Snowflake or similar experience preferred).
  • Hands-on experience creating reports and dashboards in Salesforce.
  • Working knowledge of Power BI (or willingness to learn quickly).
  • Analytical mindset with the ability to translate data into clear business insights.
  • Detail-oriented and organized, with strong problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Interest in SaaS, GTM operations, and learning how Revenue Operations drives company growth.

Why Join Us

  • Learn the full spectrum of Revenue Operations, from data analytics to GTM process optimization.
  • Get hands-on experience with Salesforce, Snowflake, Power BI, and Gong in a real-world SaaS environment.
  • Collaborate closely with Sales, Marketing, Customer Success, and Data teams.
  • Be part of an AI-driven, high-growth scale-up that values learning, curiosity, and experimentation.

© Easygenerator. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Easygenerator is an award-winning e-learning tool, recognized for outstanding achievements in the field of corporate learning. The company has over 50 000 users in over 150 countries. Our clients (among them are such giants as Zanussi, Electrolux, Siemens and DeLonghi) embrace the tool to optimize learning experience for their employees.Here, in ukrainian office (Zhytomyr), we are ambitious about developing our product, and we are looking for team players who are highly motivated, disciplined and reliable. We provide comfortable atmosphere, challenging and stretching tasks and mentorship, and we expect responsibility, initiative and learning agility from you.Our Core Values — Be Ambitious, Build Trustful Relationships, Experiment — are fundamental to everything we do.

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