People Ops Analyst: HRIS & Onboarding Mastery

Speedrun Talent Network; United States; Remote; USD 72,000 - 90,000; Full time

Benefits offered by this job

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Job summary

Flock is seeking a hands-on People Operations specialist to own core workflows and maintain HRIS data hygiene across Rippling. You will manage onboarding, offboarding, transfers, and lifecycle events while serving as the main point of contact for employment verifications and inquiries.

Collaborate with HR, Total Rewards, Recruiting, and IT to ensure a smooth onboarding experience and scalable data pipelines.

Qualifications

• Demonstrated HRIS admin experience with hands-on Rippling is a strong plus.
• Operational background managing core People processes and lifecycle administration.
• Ability to pull, clean, and review HR data sets to maintain high record integrity.
• Strong written communication to manage frontline employee requests with discretion.
• Experience with early-stage HRIS builds or light data analysis is a plus.

Responsibilities

• Support end-to-end employee lifecycle from onboarding through offboarding, including transfers and promotions.
• Maintain data hygiene across Rippling and build onto our People data pipelines for operational decisions.
• Serve as the primary contact for People inbox and Console, handling verifications, work authorizations, and inquiries.
• Partner with HR, Total Rewards, Recruiting, IT to deliver smooth onboarding for new hires.
• Identify and automate manual steps across People workflows to reduce friction.

Skills

HR data hygiene

Rippling experience

Data fluency

Frontline support

Problem solving

Tools

Rippling

Job description

Flock is seeking a hands-on People Operations specialist to own core workflows and maintain HRIS data hygiene across Rippling. You will manage onboarding, offboarding, transfers, and lifecycle events while serving as the main point of contact for employment verifications and inquiries.

Collaborate with HR, Total Rewards, Recruiting, and IT to ensure a smooth onboarding experience and scalable data pipelines.