TL;DR

Revenue Operations Specialist: Building and maintaining Salesforce reports, dashboards, and data models that track key metrics like pipeline health, forecast accuracy, and conversion rates, with an accent on analyzing GTM data to make data-driven decisions. Focus on combining data from different systems using Power BI and Snowflake, and identifying process bottlenecks to improve revenue operations.

Location: On-site in Alexandria

Company

%hirify_global% is a fast-growing EdTech scale-up, headquartered in Dubai, revolutionizing learning with an award-winning authoring tool and operating as an AI-First Company.

What you will do

Build and maintain Salesforce reports, dashboards, and data models to track key metrics.
Analyze Go-to-Market (GTM) data to support data-driven decisions across Business Development, Sales, Marketing, and Customer Success.
Combine data from different systems using Power BI and Snowflake to 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.

Requirements

1–2 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.
Excellent communication and collaboration abilities.

Culture & Benefits

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.
Gain hands-on experience with cutting-edge AI tools and develop a future-proof skillset.