Talent Acquisition Analytics & AI Specialist

Boomi

29d•CA$92,000 - CA$115,000•Hybrid

About The Position

Boomi is seeking a data-fluent, technically minded analytics professional to join their team as a Talent Acquisition (TA) Analytics & AI Specialist. This role involves owning the data pipeline from source systems into Snowflake, building advanced dashboards in Power BI, and architecting AI agents to automate high-friction TA workflows. The ideal candidate is a systems thinker who thrives on writing optimized SQL, configuring API connections, and leveraging advanced prompt engineering to scale operations.

Requirements

2–5 years of experience in data analytics, business intelligence, or systems operations
Strong, hands-on proficiency in writing complex SQL queries and building dynamic dashboards in Power BI or Tableau.
Direct experience working with relational databases and data warehousing tools like Snowflake is highly preferred
Advanced proficiency using Claude or similar LLMs to build reports, analyze complex datasets, and prototype technical data solutions.
Practical understanding of prompt engineering, connecting APIs, and building AI agents/automated workflows
High attention to detail. You enjoy figuring out how "Field A" in one system impacts "Report B" in another, and you understand how data orchestration impacts downstream analytics

Nice To Haves

Exposure to HR/Talent Acquisition data structures and schemas.
Hands-on experience building integrations or orchestrating workflows using the Boomi platform.

Responsibilities

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 TA data pipelines inside Snowflake and write optimized SQL queries to blend disparate datasets.
Audit, clean, and rebuild calculated fields, data schemas, and dashboards to ensure absolute data integrity across platforms.
Design, test, and deploy autonomous AI agents and automated workflows to eliminate manual TA administrative tasks and maximize operational efficiency.
Leverage advanced LLMs like Claude (including Artifacts, Projects, and API connections) for rapid data prototyping, drafting complex code scripts, and building intelligent automation loops.
Find creative ways to use generative AI and API integrations to streamline TA operations, absorbing manual administrative overhead through tech.
Own the end-to-end delivery of weekly, monthly, and quarterly TA metrics, narrative reports, and automated dashboards for critical stakeholders, including the Head of TA, the Executive Leadership Team (ELT), Finance, HRBPs, and Regional TA Leaders.
Translate complex datasets into clean, scannable visual stories and data packets that cross-functional, non-technical stakeholders can easily action.
Move beyond standard, lagging indicators to design advanced capacity models, hiring velocity forecasts, and pipeline bottleneck analytics.
Design and execute data projects that bridge the gap between TA and the business—such as correlation studies tying interview/assessment data to on-the-job performance.

Benefits

Applicable bonus
Commitment to fair and equitable compensation practices
Pride in culture and core values
Commitment to being a place where everyone can be their true, authentic self
Team members are valuable resources
Encouragement of diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities
All employment decisions based on business needs, job requirements, and individual qualifications
Strive to create an inclusive and accessible environment for candidates and employees
Accommodation during the application or interview process available upon request to [email protected]