Senior Analyst, People Data and Integrations

Link Logistics

Atlanta (GA)

On-site

USD 140,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Retirement plan
Paid holidays
Paid time off

Job summary

Link Logistics Real Estate in Atlanta seeks a Senior Analyst, People Data and Integrations, to design, build, and optimize data flows, Workday integrations, and AI-enabled insights that connect workforce data with financial planning. You will partner with HR, IT, and Finance to deliver timely workforce analytics and scalable automation.

The role emphasizes data governance, self-service reporting, and an ecosystem of tools like Anaplan and Power BI, with a focus on automation, accuracy, and

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 Workday integrations with payroll, benefits, and finance systems.
  • Strong understanding of Workday data model across HCM, Recruiting, Compensation, Benefits, Time Tracking, Absence, and 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.
  • Ability to build and maintain data models and reporting solutions informing business decisions.
  • Strong analytical and problem-solving skills; Excel proficiency; Power BI or similar tools.
  • Strong communication and stakeholder management across HR, IT, Finance.
  • Familiarity with AI tools or emerging analytics technologies.

Responsibilities

  • Partner with Finance and HR leadership to support headcount planning, labor cost forecasting, and budget tracking.
  • Develop data models connecting workforce data with financial metrics (compensation, benefits, costs).
  • Support workforce planning by delivering insights on capacity, hiring plans, and cost implications.
  • Collaborate on planning tools, including integration with Anaplan or similar solutions.
  • Explore AI-driven forecasting and scenario modeling to enhance workforce planning.
  • Design, build, and maintain integrations between Workday and payroll, benefits, finance, and enterprise apps.
  • Define integration requirements, data flows, and scalable architecture with IT and vendors.
  • Ensure reliable data movement across systems with timeliness, completeness, auditability, and reconciliation.
  • Develop a connected People Technology ecosystem for consistent workforce data.
  • Contribute to data architectures supporting AI and agent-based solutions.
  • Develop datasets, reporting frameworks, data models for operational reporting and strategic analysis.
  • Enforce data governance, integrity, accessibility across domains.
  • Deliver insights informing workforce planning, talent strategies, and business decisions.
  • Enable self-service reporting for HR and business stakeholders.
  • Develop AI-enabled insights and natural language reporting experiences.
  • Identify opportunities to automate manual processes via system integrations.
  • Leverage Workday capabilities, integrations, enterprise tools, and AI solutions to streamline data movement.
  • Design and support intelligent agents to retrieve people data insights through intuitive interfaces.
  • Partner with stakeholders to implement scalable automation and AI-driven solutions tied to integrations.
  • Track the effectiveness of automation and AI initiatives with focus on data accuracy and efficiency gains.
  • 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 clearly to business stakeholders.

Skills

Workday integrations
Data architecture
APIs & data flows
HR/Finance collaboration
Excel
Power BI
Communication
Analytical skills

Education

Bachelor’s degree

Tools

Anaplan
SQL

Job description

Link Logistics Real Estate (“Link”) is a leading operator of warehouses and business parks, specializing in last‑mile logistics real estate. Established by Blackstone in 2019, the company connects consumption, technology, and the supply chain across its portfolio, which spans half a billion square feet. We leverage our scale, proprietary data and insights, and foundational focus on sustainability to drive success for our customers’ businesses and deliver value for our stakeholders. We put our people, customers, and communities first and find ways to make a conscious, positive impact where we live and work. Every day, we work to reinvent and lead our industry forward by thinking bigger and challenging the status quo.

Senior Analyst, People Data and Integrations

Plays a critical role in advancing the organization’s People and Culture capabilities through robust data architecture, system integrations, advanced analytics, and emerging AI capabilities. This role is responsible for designing, building, and optimizing data flows, integration frameworks, and reporting solutions that support accurate, timely, and actionable workforce insights. The position also contributes to the development of AI‑enabled solutions and intelligent agents that allow stakeholders and leaders to easily access and interact with people data insights. This role partners closely with P&C, Finance, and IT to ensure people data is effectively connected to financial planning, enabling more informed decision making around headcount, labor costs, and organizational strategy.

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 driven reporting experiences that improve how leaders consume 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
  • Partner with stakeholders to 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

$140,000 – $150,000 represents the presently anticipated base compensation pay range for this position at Link. Actual pay may vary based on various factors, including but not limited to location and experience.

Link provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays, and paid time off.

The direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.

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 servicemember 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 LinkRecruiting@linklogistics.com.

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