Logistics Data & Systems Specialist
Location: Jackson, Tennessee — Onsite
Employment Type: Full-Time
Compensation: Approximately $60,000 base salary
Bonus: None
Position Overview
American Bath Group is seeking a Logistics Data & Systems Specialist to build and strengthen the technical foundation supporting our Logistics organization.
This is a hands-on systems, data, and process-building role for someone who can take an ambiguous operational problem and turn it into a practical, scalable technical solution.
The Logistics Data & Systems Specialist will own how Logistics data is sourced, modeled, automated, and maintained. The goal is to reduce recurring manual work, improve data reliability, and create a technical foundation that can support future analytics, reporting, and automation.
This is a build-and-scale position, not a maintenance-only or dashboard-only role.
Location and Relocation Requirements
This position is onsite in Jackson, Tennessee.
Candidates should meet at least one of the following conditions:
- Currently live in Jackson, Tennessee or within reasonable commuting distance;
- Already be planning to relocate to the Jackson area; or
- Be willing to relocate to Jackson for this opportunity.
This position does not qualify for a relocation incentive or relocation assistance.
Candidates who need to relocate must be willing and able to do so at their own expense.
Remote work is not available for this position.
Work Schedule
This is a standard full-time, approximately 40-hour-per-week position.
Typical start time is approximately 7:00 AM to 8:00 AM, with some flexibility based on operational needs.
No regular travel is required. Occasional optional travel may arise.
What You Will DoBuild and Stabilize the Logistics Data Foundation
Map and connect data across major logistics and business systems, including:
- Transportation Management Systems (TMS)
- ERP systems
- Fleet systems
- Carrier data
- Financial data
- Operational data
- Other internal and external data sources
Identify where critical information originates, how sources connect, where data-quality gaps exist, and how priority data should be structured for reliable ongoing use.
Build Data Pipelines, Models, and Reusable Data Products
Develop and maintain technical solutions that move priority datasets into reliable, reusable structures.
This may include:
- Data pipelines
- Data models
- Integrations
- Power BI data products
- Microsoft Fabric solutions
- Automated workflows
- Reusable source and integration patterns
The objective is not simply to create another report.
The objective is to create a scalable technical foundation that can support reporting, analytics, automation, and future business needs.
Reduce Manual Work Through Automation
Identify recurring manual activities and help replace them with practical systems or automation.
Potential areas include:
- Logistics planning
- Dispatch
- Diagramming
- Reporting
- Data preparation
- Administrative processes
- Recurring operational workflows
Successful automation should move beyond identifying opportunities and into testing, implementation, adoption, and production where appropriate.
Validate Solutions Against Operational Reality
Technical accuracy alone is not enough.
You will work with frontline employees and business stakeholders to confirm that data, models, reports, integrations, and automation accurately reflect how the operation actually works.
This includes:
- Testing outputs against real operational activity
- Validating assumptions
- Identifying source-data problems
- Recognizing process or system changes
- Correcting discrepancies
- Confirming that solutions work for the people using them
Create Documentation and Support Controls
Build solutions that can be understood, maintained, and supported by others.
Responsibilities may include creating and maintaining:
- Source mappings
- Technical documentation
- Data-quality controls
- Validation procedures
- Monitoring processes
- Integration documentation
- Troubleshooting instructions
- Recovery procedures
- Support documentation
The goal is to reduce key-person dependency and avoid building solutions that only one person knows how to maintain.
Manage Technical Intake and Roadmap Commitments
You will be expected to take ownership of assigned work and maintain visibility to progress.
This includes:
- Prioritizing requests
- Clarifying requirements
- Breaking larger initiatives into phases and tasks
- Identifying dependencies
- Establishing deadlines
- Communicating risks
- Maintaining visibility to progress
- Keeping work clearly identified as on-track or at-risk
What Success Looks LikeCentralize and Stabilize Data
Major TMS, ERP, fleet, carrier, financial, and operational data sources are mapped.
Priority datasets begin moving into governed, reusable pipelines and models with appropriate validation, refresh processes, and data-quality controls.
Eliminate Meaningful Manual Work
Manual logistics and administrative processes are identified and practical automation moves into testing, adoption, or production.
There should be clear evidence that recurring manual steps are being reduced or eliminated.
Create a Scalable Technical Operating Model
Documentation, source mappings, data-quality controls, support processes, and repeatable integration patterns become part of how technical work is delivered.
Execute Against the Technical Roadmap
Assigned projects move through a visible intake and roadmap process.
Larger projects are broken into phases, tasks, and deadlines, with risks and progress communicated clearly.
Early Priorities
During the first several months, this person will be expected to help:
- Inventory and map major data sources;
- Identify significant data-quality gaps;
- Establish an initial technical backlog;
- Move priority datasets into governed and reusable patterns;
- Establish validation and monitoring practices;
- Advance meaningful automation initiatives;
- Reduce recurring manual work; and
- Route assigned projects through the established intake and roadmap process.
Required QualificationsPower BI
Hands-on Power BI experience is required.
We are looking for someone who has personally built, modified, or maintained Power BI reports, dashboards, data models, or related data solutions.
Experience that is limited primarily to viewing or consuming existing dashboards will not be sufficient for this role.
Excel
Strong working knowledge of Microsoft Excel is required.
Candidates should be comfortable working with data and using Excel as part of a broader technical and analytical workflow.
Hands-On Systems and Data Problem Solving
Candidates should be able to provide examples of personally solving ambiguous systems, data, or process problems.
Strong candidates will have personally participated in several stages of the work, such as:
- Problem discovery
- Requirements clarification
- Source mapping
- Data modeling
- Integration
- Solution design
- Building
- Testing
- Validation
- Implementation
- User adoption
- Documentation
- Ongoing support
We are particularly interested in understanding what you personally designed, built, tested, or implemented.
Operational Validation
Candidates should understand that technical outputs must be validated against the underlying business process.
You should be comfortable working with operational users to verify that the solution accurately reflects real-world activity.
Documentation and Supportability
Candidates should be able to create solutions that can be maintained and supported after implementation.
Documentation, controls, source mappings, and support procedures should be treated as part of the solution rather than an afterthought.
Ownership and Follow-Through
This position requires someone who can:
- Work through ambiguity;
- Prioritize competing requests;
- Communicate effectively;
- Identify risks;
- Manage dependencies;
- Maintain visibility to progress; and
- Follow work through to completion.
Helpful Technical Experience
Experience with the following is helpful but not all of these technologies are required on day one:
- Microsoft Fabric
- SQL
- Python
- ETL / ELT
- APIs
- Notebooks
- Lakehouse environments
- Semantic models
- Power Automate
- Transportation Management Systems
- Fleet Management Systems
- Motive
- ERP systems
- CMS
- SAP
- Sage
- Data lineage
- Master data
- Data governance
Logistics or freight experience is helpful but can be learned by a candidate with the appropriate technical and problem-solving foundation.
Work Environment
This position operates in a complex, evolving environment that includes:
- Multiple ERP and business systems;
- Fragmented data sources;
- Manual workflows;
- Data-quality challenges;
- A significant improvement roadmap;
- Competing priorities;
- Adoption dependencies; and
- Opportunities to reduce key-person dependency.
The successful candidate will be comfortable entering an environment where every requirement may not already be perfectly defined.
You should be able to create structure, identify the right questions, validate assumptions, and move the work forward.
Ideal Candidate Profile
You may be a strong fit for this opportunity if you:
- Enjoy building systems and processes rather than simply maintaining them;
- Can turn ambiguous problems into structured technical solutions;
- Have personally built data, systems, integration, or automation solutions;
- Are comfortable working with data from multiple systems;
- Validate your work against operational reality;
- Look for root causes rather than maintaining workarounds;
- Can balance technical capability with practical business needs;
- Communicate effectively with technical and non-technical stakeholders;
- Take ownership of priorities and commitments;
- Document your work;
- Build solutions that other people can understand and support; and
- Are comfortable learning new tools and systems.
Cross-Functional Relationships
This position will interact with stakeholders across areas such as:
- Logistics leadership
- Frontline operational teams
- Transportation and freight functions
- IT
- ERP and CMS teams
- Finance
- Accounting
- Other business and technical stakeholders
The ability to communicate technical concepts in a practical and understandable way will be important.
What This Position Is Not
This is not a dashboard-only reporting position.
It is not a position for someone whose Power BI experience is primarily consuming reports created by others.
It is not a maintenance-only role focused on preserving existing manual workarounds.
It is not a position for someone who must receive perfectly defined technical requirements before beginning work.
It is not an overengineering role where technical complexity is valued more highly than practical business results.
It is not a role where one individual builds solutions that nobody else can understand, maintain, or recover.
The expectation is to build practical, scalable, documented, and supportable technical solutions.
Role Responsibilities Versus Business Analysis
The Logistics Data & Systems Specialist is responsible for the technical foundation behind Logistics information and systems.
This includes determining:
- What data should be sourced;
- How data should be structured;
- How sources should be integrated;
- How technical solutions should be automated; and
- How those solutions should be maintained and supported.
The role is distinct from freight-business analysis, which focuses more heavily on determining what should be measured, why it matters, how results should be interpreted, and what business action should follow.
Experience Level
There is no predetermined minimum years-of-experience requirement for this position.
We are more interested in demonstrated capability than an arbitrary number of years.
Candidates should be prepared to discuss specific examples demonstrating:
- Personal ownership;
- Systems or data building;
- Technical problem solving;
- Validation;
- Implementation;
- Automation;
- Documentation; and
- Follow-through.
Interview Process
The anticipated interview process includes:
Step 1 — Recruiter Screen
Initial conversation covering:
- Power BI experience
- Excel capability
- A personally authored systems or process example
- Communication
- Learning agility
- Location and onsite availability
- Compensation alignment
Step 2 — Virtual Interview with the Hiring Leader
Discussion focused on:
- Technical reasoning
- Source mapping
- Data and model design
- Validation approach
- Prioritization
- Problem solving
- Ownership
Step 3 — In-Person Interview
Discussion focused on:
- Practical operating style
- Work ethic
- Communication
- Team fit
- Problem-solving approach
- Ability to operate successfully in the working environment
Compensation
Base Salary: Approximately $60,000
Bonus: None
This is a full-time, onsite position in Jackson, Tennessee.
This position does not qualify for a relocation incentive or relocation assistance.
Candidates who are not currently located within commuting distance of Jackson must be willing and able to relocate at their own expense.
Work Authorization
Applicants must be authorized to work in the United States. This position is not eligible for employment visa sponsorship now or in the future.
Equal Opportunity Employer
American Bath Group is an Equal Opportunity Employer and are committed to creating an inclusive workplace for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Pay: From $60,000.00 per year
Application Question(s):
- This is a full-time onsite position in Jackson, Tennessee. This position does not qualify for a relocation incentive or relocation assistance. If relocation is necessary, would you be able and willing to relocate at your own expense? Yes/No/ Not Applicable
- How would you describe your experience solving data, systems, or process problems?
- How have you personally worked with data from multiple systems or sources and combined, transformed, modeled, or integrated that data for business use?
- Please provide an example where a report, data model, integration, automation, or technical solution was built, how did you personally validate the results against the underlying business process or actual operational activity before considering the work complete?
- How would you describe your experience reducing manual work through systems, data, or automation?
- The base salary for this position is approximately $60,000, with no bonus. Does this compensation align with what you would consider for your next opportunity?
Ability to Commute:
- Jackson, TN 38301 (Required)
Work Location: In person
