Senior Analyst, People Data and Integrations

Link Logistics Real Estate Holdco LLC; Atlanta (GA); On-site; USD 140,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

Paid holidays

Paid time off

Job summary

Link Logistics Real Estate seeks a Senior Analyst for People Data & Integrations to architect data, build Workday integrations, and drive analytics across HR and Finance. You will partner with IT, Finance, and HR to enable data-driven decision making and scalable automation.

Responsibilities include designing data models, supporting headcount forecasting, and delivering AI-enabled insights. The role emphasizes data governance, governance, and self-service analytics for stakeholders across the

Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Analytics, HR, Finance, or a related field.
• 4 to 7 years of experience in HR technology, data, integrations, analytics, or related roles.
• Proven experience designing and supporting integrations between Workday and enterprise systems (payroll, benefits, finance).
• Strong understanding of Workday data model across core modules (HCM, Recruiting, Compensation, Benefits, Time Tracking, Absence, Payroll).
• Experience with data architecture, APIs, middleware, and end‑to‑end data flows.
• Experience with workforce planning, headcount forecasting, or labor cost analysis with Finance.
• Proficiency in Excel and Power BI or similar tools.

Responsibilities

• Partner with Finance and HR leadership to support headcount planning, labor cost forecasting, and budget tracking.
• Develop and maintain data models connecting workforce data with financial metrics (compensation, benefits, organizational costs).
• Support workforce planning by delivering insights on capacity, hiring plans, and cost implications.
• Collaborate on planning tools and processes, including integration with Anaplan or similar solutions.
• Explore AI‑driven forecasting and scenario modeling to enhance workforce planning insights.
• Design, build, and maintain integrations between Workday and payroll, benefits, and finance systems.
• Define integration requirements, data flows, and scalable architecture with IT and vendors.
• Ensure reliable data movement with timeliness, completeness, auditability, and reconciliation.
• Develop data architectures supporting AI and agent‑based solutions with accessible data layers.
• Deliver datasets, reporting frameworks, and data models for operational reporting and strategic analysis.
• Enable self‑service reporting and data access for HR and business stakeholders.
• Develop AI‑enabled insights and natural‑language reporting experiences for leaders.

Education

Bachelors in Information Systems/Computer Science/Analytics/HR/Finance

Tools

Workday integrations

Anaplan

Power BI

Excel

Job description

Senior Analyst, People Data & Integrations

Link Logistics Real Estate (“Link”) is a leading operator of warehouses and business parks, specializing in last‑mile logistics real estate. The Senior Analyst supports people and culture capabilities through data architecture, system integrations, advanced analytics, and AI.

Key Responsibilities

Workforce Planning and Finance Alignment

• Partner with Finance and HR leadership to support headcount planning, labor cost forecasting, and budget tracking
• Develop and maintain data models that connect workforce data with financial metrics, including compensation, benefits, and organizational costs
• Support workforce planning processes by delivering insights on capacity, hiring plans, and cost implications
• Collaborate on planning tools and processes, including integration with platforms such as Anaplan or similar solutions
• Explore the use of AI–driven forecasting and scenario modeling to enhance workforce planning insights

System Integrations and Data Architecture

• Design, build, and maintain integrations between Workday and key business systems, including payroll providers, benefits platforms, finance systems, and enterprise applications
• Partner with IT and vendors to define integration requirements, data flows, and scalable architecture
• Ensure reliable and accurate data movement across systems, with a focus on timeliness, completeness, auditability, and reconciliation
• Support the development of a connected People Technology ecosystem that enables consistent and accessible workforce data
• Contribute to the design of data architectures that support AI and agent‑based solutions, including structured and accessible data layers

People Data and Analytics Enablement

• Develop and maintain datasets, reporting frameworks, and data models that support operational reporting and strategic analysis
• Ensure strong data governance, integrity, and accessibility across all people data domains
• Deliver insights that inform workforce planning, talent strategies, and business decisions
• Enable self‑service reporting and data access for HR and business stakeholders
• Develop AI‑enabled insights and natural‑language reporting experiences that improve leaders’ consumption of people data

Automation and AI Enablement

• Identify opportunities to automate manual processes through system integrations and data exchange between platforms
• Leverage Workday capabilities, integrations, enterprise tools, and AI solutions to streamline data movement and reduce manual intervention
• Design and support the development of intelligent agents that allow stakeholders and leaders to retrieve people data insights through intuitive interfaces
• Implement scalable automation and AI‑driven solutions tied to integrations and system capabilities
• Track the effectiveness of automation and AI initiatives with a focus on data accuracy, efficiency gains, and reduced manual effort

Stakeholder Partnership and Delivery

• Serve as a consultative partner to HR Technology, IT, Finance, and business leaders
• Translate business needs into scalable solutions across integrations, data models, reporting frameworks, and AI-enabled capabilities
• Support cross‑functional initiatives that strengthen the People Technology and data ecosystem
• Communicate technical concepts, including AI and data solutions, in a clear and business‑friendly manner

Required Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Analytics, HR, Finance, or a related field
• 4 to 7 years of experience in HR technology, data, integrations, analytics, or related roles
• Proven experience designing and supporting integrations between Workday and enterprise systems such as payroll, benefits, and finance platforms
• Strong understanding of Workday’s data model across core modules, including HCM, Recruiting, Compensation, Benefits, Time Tracking, Absence, and Payroll
• Strong understanding of data architecture, APIs, middleware, and end‑to‑end data flows
• Experience supporting workforce planning, headcount forecasting, or labor cost analysis in partnership with Finance
• Demonstrated ability to build and maintain data models and reporting solutions that inform business decisions
• Strong analytical and problem‑solving skills across complex datasets and systems
• Proficiency in Excel and experience with reporting or visualization tools such as Power BI or similar platforms
• Strong communication and stakeholder management skills across HR, IT, and Finance
• Familiarity with AI tools, data exploration tools, or emerging technologies that support analytics and automation

Preferred Qualifications

• Experience with workforce planning and financial modeling tools such as Anaplan
• Experience supporting data integration between HR and Finance systems
• Familiarity with data governance and enterprise data management practices
• Experience leveraging AI solutions or building agent-based tools to enable business user access to data insights

Compensation & Benefits

• Base compensation: $140,000 – $150,000 per year (actual pay may vary based on location and experience)
• Health insurance coverage
• Retirement savings plan
• Paid holidays
• Paid time off

EEO Statement

The Company is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed service member status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations. If you need an accommodation to complete the application process, please email [e-mail].