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Jobs(30,434)/Senior Data Scientist Role(367)/EarnIn (8) - Senior Business Systems Analyst (Workday)
EarnIn

EarnIn - Senior Business Systems Analyst (Workday)

Mexico City, Mexico; Remote, Mexico - Hybrid1mo ago
In OfficeSeniorLATAMArtificial IntelligenceSenior Data ScientistRecruiterReportingWorkdayDocumentationADPREST

Requirements

• Support cross-functional testing and validation efforts through automated reporting, data checks, and failure detection • Partner with functional teams (e.g., Talent, Payroll, Benefits) to enable effective test plans and issue identification • Contribute to a high-quality user experience by ensuring data accuracy and system reliability across workflows • Collaboration & Communication • Partner with Core HCM architects and business process administrators across SKUs including Talent and Advanced Compensation, to ensure cohesive, end-to-end system design • Translate complex technical concepts into clear insights for non-technical audiences • Collaborate across HR, IT, Finance, and vendors to align solutions with business needs • Security & Compliance • Ensure integrations meet security, privacy, and compliance standards • Manage secure data transfers and authentication methods across systems • 4+ years of experience with Workday integrations and tools such as: Workday Studio, EIB, Core Connectors, Workday Web Services / APIs • Experience integrating Workday with systems such as: • ADP / global payroll vendors • Okta/identity management • Greenhouse / ATS • Benefits providers (e.g., Navia, Bswift) • Finance systems (e.g., Pigment, NetSuite, Zip, Navan) • Data formats: XML, JSON, CSV • Integration technologies: REST / SOAP APIs, SFTP • SQL and data analysis skills • Familiarity with AI/ML concepts or tools applied to data workflows (e.g., anomaly detection, automation, or data enrichment) • Experience with data validation and troubleshooting • Strong ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders • Strong problem-solving ability, experience with uncovering root causes, and executing action plans rapidly and thoughtfully. • Experience with HR data governance • Experience working with or supporting AI-enabled data platforms, pipelines, or analytics tools • Exposure to tools like Python, dbt, or modern data platforms is a plus • 2+ years of experience working with a Workday implementation partner (e.g., Topbloc, Deloitte, Accenture) • SUCCESS METRICS • SUCCESS METRICS • Reliable, high-performing integrations with minimal failures • Accurate, timely, and secure data delivery across systems • Reduced manual effort through automation and intelligent workflows • Measurable cost savings driven by optimized architecture and efficient data processing • Scalable, well-documented systems that support business growth • Improved data quality and user experience through proactive monitoring and validation • #LI-Remote #LI-Hybrid • A Note on AI in the Hiring Process: EarnIn may use Artificial Intelligence (AI)-powered tools during the hiring process, including tools that generate summaries or notes for interviewers, review resumes, assist with scheduling, or help identify themes across candidate responses and profiles for a given role. Final hiring decisions are made by human interviewers and hiring managers. If you have any concerns about the use of AI in our hiring process, please connect with your recruiter. With your consent, EarnIn may use AI tools to help transcribe or summarize interviews. Recordings are treated as confidential candidate data and are accessible only to authorized hiring personnel. Declining to be recorded will not negatively affect your candidacy or evaluation.

Responsibilities

• Workday Integrations & Data Management • Design, build, test, and maintain Workday integrations using tools such as EIB, Core Connectors, Workday Studio, and APIs • Manage integrations across payroll, benefits, identity management, finance systems, data warehouses, and other HR platforms • Ensure data integrity through transformation logic, mapping, and bulk data operations • Monitoring, Reporting & Data Delivery • Monitor integrations, troubleshoot failures, and resolve data discrepancies • Develop and maintain reporting, data feeds, and pipelines to support HR, Finance, and business intelligence platforms • Proactively identify issues using logs, reporting, and automated alerts • Architecture, Automation & AI • Act as a bar raiser for integration and data architecture, promoting best practices in scalability, performance, cost efficiency, and user experience • Drive architectural decisions that balance cost, performance, and end-user experience • Identify and implement automation and AI-enabled solutions to improve data quality, anomaly detection, and operational efficiency • Partner with engineering and data teams to support AI-ready data pipelines

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