
Analytics & AI Specialist (Talent Acquisition)
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Giza, EG
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Job Description
About Boomi and What Makes Us Special
Are you ready to work at a fast-growing company where you can make a difference? Boomi, the data activation company for AI, powers the agentic enterprise by bringing data to life across the business. The award-winning Boomi Enterprise Platform is the active data foundation that delivers essential agentic infrastructure enabling organizations to drive agentic transformation and harness the power of AI with secure, scalable connectivity. Trusted by over 30,000 customers and supported by a network of 800+ partners, Boomi helps organisations of all sizes achieve agility, efficiency, and innovation at scale. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more.
Analytics & AI Specialist (Talent Acquisition)
How You'll Make An Impact
Are you a data-fluent, technically minded analytics professional looking to build the future? We are looking for an Analytics & AI Specialist to join the Talent Acquisition team during a pivotal chapter.
In this role, you won't just pull standard reports—you will own the data pipeline from our source systems into Snowflake, build advanced dashboards in Power BI, and architect AI agents to automate high-friction TA workflows. If you are a systems thinker who thrives on writing optimized SQL, configuring API connections, and leveraging advanced prompt engineering to scale operations, this role is for you.
What You'll Do
Implementation & Data Architecture
- Act as the technical data lead, ensuring data fields, schemas, and historical data migrate with 100% integrity.
- Partner with IT and Enterprise Data teams to manage our TA data pipelines inside Snowflake and write optimized SQL queries to blend disparate datasets.





