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Data Modelling Jobs in Kansas (NOW HIRING)

MTW SOLUTIONS, LLC

Data & BI Developer

Overland Park, KS · On-site

$85K - $88K/yr

Experience using Data Vault 2.0 warehousing data modelling and architectural design patterns * Microsoft SQL Server (T-SQL, Stored Procedures, Database Design, Database Administration, Execution ...

Atlas HXM

Familiarity with API design, data modelling, and system boundaries * Clear communication skills and a thoughtful, collaborative approach We don't expect deep expertise in every area. Strength in some ...

SPX

Engineer I - Civil/Structural

Overland Park, KS

Collaborate closely with plant management to understand production goals, providing technical guidance and statistical data to assist with decision making. * Design and Modelling * Use 3D modelling ...

Waabi

$158K - $269K/yr

You know how various sensor modalities work from a physical perspective and understand how different modelling assumptions will impact data interpretation and the final calibration. You have the ...

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Data Modelling information

Will AI replace data modelers?

AI is unlikely to fully replace data modelers, as their role involves complex understanding of business needs, data structures, and design principles that require human judgment. Instead, AI tools can assist data modelers by automating routine tasks and enhancing productivity, allowing them to focus on more strategic aspects of data modeling. Continuous learning and proficiency with data modeling tools remain important for job security in this field.

Is 40 too late for data science?

Data Modelling is a key skill in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python. Continuous learning and building a strong portfolio can help overcome age-related concerns in the industry.

How much do data modelers make?

Data modelers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, especially with certifications and advanced tools knowledge.

What do you do in data modeling?

A data modeler designs and creates data structures, such as databases and schemas, to organize and store information efficiently. They analyze data requirements, define relationships, and use tools like ER diagrams and modeling software to ensure data integrity and accessibility.

What is the difference between Data Modelling vs Data Analyst?

AspectData ModellingData Analyst
Primary FocusDesigning data structures and schemasAnalyzing data to generate insights
Skills & CertificationsData modeling, database design, SQLData analysis, statistics, Excel, SQL
Work EnvironmentDatabase design teams, data architectureBusiness units, reporting teams
Tools UsedER diagrams, data modeling softwareExcel, BI tools, SQL

Data Modelling focuses on creating the structure and design of data systems, while Data Analysts interpret data to provide actionable insights. Both roles often collaborate but serve different purposes within data management and analysis processes.

Data Modelling jobs near you

Supply Chain Data & Analytics Manager

Unrivaled Teamwear LLC

Lenexa, KS • On-site

Full-time

Posted 2 days ago

Job description

Description
Overview
We are seeking a highly skilled Supply Chain Data & Analytics Manager to join our Global Supply Chain team at a pivotal time in our data and operations transformation. This role sits at the intersection of deep supply chain domain expertise and advanced business intelligence capability. You will be responsible for building our Power BI reporting environment from the ground up, replacing legacy operational dashboards with scalable, data-driven solutions that serve Production Planning, Manufacturing, and Operations Leadership on a daily basis.
The ideal candidate is equally comfortable querying SQL Server and Snowflake across multiple ERP/MRP systems as they are presenting insights to executive leadership. This is a hands-on builder role with a high-visibility remit and a clear path toward people leadership as the analytics function grows.
About Unrivaled Teamwear
Unrivaled Teamwear serves as the parent company of Champion Teamwear, Gear for Sports, and Knights Apparel, each as an industry leader in the sports and team apparel space. Our family of brands know what goes into great decorated garments, using top-quality fabrics and offering creative decoration options. Each brand offers customers a premier selection and exceptional service for all their sportswear needs, from T-shirts and caps to fleece, performance wear, and outerwear.
Essential Duties
BI Development & Dashboard Build-Out
  • Design, build, and deploy a suite of Power BI dashboards from scratch, replacing existing operational reports with scalable, maintainable solutions.
  • Develop and own the daily 'operational newspaper' - an executive-facing overview dashboard summarizing production status, supply chain health, and critical KPIs.
  • Build Production Reporting dashboards that provide real-time and historical visibility into output, yield, downtime, and throughput.
  • Develop Production Planning dashboards enabling planners to monitor schedules, capacity utilization, and material availability.
  • Define and enforce best-practice data modelling, DAX standards, and report design principles to ensure long-term maintainability.
  • Evaluate and implement SAP Analytics Cloud (SAC) where complementary to the Power BI environment.

Data Engineering & ERP Integration
  • Write, optimize, and maintain analytical SQL queries across SQL Server and Snowflake to support reporting and ad hoc analysis.
  • Extract, transform, and reconcile data from three core systems - Oracle EBS, SAP, and KERP - ensuring consistency and accuracy across all reporting outputs.
  • Partner with IT and Data Engineering teams to define data requirements, support pipeline development, and improve data quality at source.
  • Document data lineage, transformation logic, and field definitions to build a reliable single source of truth for supply chain metrics.

Supply Chain Analytics & Insights
  • Analyze end-to-end supply chain performance across Production, Operations, and Global Sourcing functions, identifying trends, risks, and optimization opportunities.
  • Support demand and production planning teams with data-driven analysis on capacity constraints, material availability, and schedule adherence.
  • Contribute to global sourcing analysis including supplier lead times, inbound logistics performance, and inventory health across distribution points.
  • Maintain and enhance recurring KPI reports and scorecards, communicating insights with context and recommended actions.

Stakeholder Communication & Leadership Reporting
  • Prepare and present analytical findings and dashboard outputs to Supply Chain and Operations Leadership on a regular cadence.
  • Translate complex, multi-system data landscapes into clear narratives and actionable recommendations for both technical and non-technical audiences.
  • Collaborate closely with Production Planning, Manufacturing, and Operations Leadership as primary day-to-day stakeholders.
  • Act as a trusted analytical partner to the broader supply chain organization, responding to ad hoc data requests and executive queries.

Qualifications
Required
  • Bachelor's degree in Business, Supply Chain, Data Analytics, or a related field.
  • 5+ years of experience in supply chain analytics, operations analysis, or a closely related discipline.
  • Proven hands-on Power BI development experience including data modelling, DAX, report design, and deployment to broad user populations.
  • Proficient in SQL with demonstrated ability to query and reconcile data across multiple platforms (SQL Server and Snowflake required).
  • Experience extracting and interpreting data from at least two enterprise ERP or MRP systems (Oracle EBS, SAP, NetSuite or equivalent).
  • Strong working knowledge of supply chain operations including production planning, manufacturing, warehousing, distribution, and sourcing.
  • Ability to translate raw, multi-system data into clear, executive-ready insights and presentations.
  • Excellent verbal and written communication skills; comfortable presenting to Operations and executive leadership.
  • Self-starter capable of managing ambiguity and building new analytical capability with limited prior infrastructure.

Preferred
  • Direct experience with Oracle EBS, SAP (including SAP Analytics Cloud), and KERP in an analytics or reporting capacity.
  • Exposure to global sourcing analysis: landed cost, supplier lead time variability, inbound logistics performance.
  • Experience designing and governing a BI environment from the ground up, including documentation of data dictionaries and report catalogues.
  • Familiarity with connecting Power BI to Snowflake and SQL Server via DirectQuery or scheduled import modes.
  • Understanding of data warehouse concepts and working effectively with IT/Data Engineering teams on pipeline requirements.
  • Python scripting knowledge is advantageous but not required; role operates within existing enterprise systems to avoid shadow IT.
  • Previous experience in apparel, manufacturing, or consumer goods supply chains.

EOE/AA: Minorities/Females/Veterans/Disabled
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
This job description is not designed to cover or contain a comprehensive listing of all activities, duties or responsibilities that are required of the associate. Other duties will be assigned as needed.
We maintain a drug-free workplace and perform pre-employment substance abuse testing as well as participate in E-Verify.

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