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Data Analytics Engineer, Products & Pricing

Gates Corporation -
Aachen

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Details zur Stelle

vor 2 Tagen

Qualifikationen

CRM-Software
Preisgestaltung
Power BI
Informatik
SAP CRM
Tableau
SQL
PC-Kenntnisse
Produktion
Geschäftsanforderungen
Python
Analytik

Vollständige Stellenbeschreibung

Date: Jun 8, 2026

Location: Aachen, NW, DE, 52068

Company: Gates Corporation

Are you inspired by challenging the status quo? Do you thrive in collaborative environments that drive results? If so, Gates could be for you.

Gates is a leading manufacturer of application-specific fluid power and power transmission solutions. We push the boundaries of material science to engineer solutions that continually exceed customer expectations.

Let's simplify it, think belts and hoses. Found in motorcycles, conveyor belts, cars, tractors, blenders, vacuum cleaners, bicycles, & 3D printers just to name a few. Because why not do it all?

What to expect

Gates is looking for a Data Analytics Engineer, Products & Pricing who will play a critical hands-on role in building and implementing data and digital solutions that enable data-driven decision making. This position is responsible for developing and maintaining data pipelines, dashboards, and analytical tools supporting Product Management, Pricing, and portfolio execution.

The role focuses on transforming fragmented and inconsistent data into scalable, reliable decision‑support solutions across PLM, Pricing, and R&D domains. Working closely with the Program Manager, Products & Pricing, the role executes agreed priorities, processes, and digitalization initiatives. The Data Analytics Engineer, Products & Pricing partners closely with Product, Pricing, Digital, and IT teams to ensure solutions are practical, adopted, and embedded in daily business operations.

Essential Duties and Responsibilities

Digitalizes and automates Product Management and Pricing processes by implementing data models, dashboards, and analytical solutions.
Transforms fragmented and inconsistent data into reliable, structured insights that support decision-making across Product and Commercial teams.
Builds and maintains data models, Lakehouse architecture, BI and AI Tools using and integrating data from various sources such as ERP, CRM, Production systems supporting PLM and portfolio management, pricing and margin analysis, rebate strategy, product performance tracking, and R&D roadmaps.
Replaces manual, Excel-based processes by developing reusable toolkits such as segmentation models, scorecards, and portfolio views.
Ensures data transparency, consistency, and accessibility through well-designed data structures and analytical tools.
Works closely with the Product Operating Model & Delivery Lead to align tools with agreed priorities, workflows, and decision forums.
Supports evaluation and selection of pricing and rebate management software, including hands-on assessment of technical fit, data integration, and make-versus-buy analysis.

Keys to Success

Requires in-depth knowledge and experience
Requires conceptual and practical expertise in own area and general knowledge of related areas
Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate the company in the market

Supervisory Responsibilities

None
Acts as a resource for other team members; may lead projects with limited risks and resource requirements
Acts as a resource for colleagues with less experience

Requirements and Preferred Skills

University degree in Data Science, Computer Science, Engineering, or a related field with 5 to 7 years professional experience ideally in the industrial or manufacturing sector.
Hands-on experience working with complex, imperfect, and fragmented datasets, ideally in pricing or portfolio analytics.
Strong practical experience with Python, SQL, and BI tools such as Power BI or Tableau.
Ability to translate business requirements into scalable data models, dashboards, and automation solutions.
Solid business understanding with focus on creating practical tools rather than analysis only.
Experience integrating and structuring data from enterprise systems such as ERP (ideally SAP) or CRM platforms.
Strong communication skills with the ability to translate data into clear, actionable insights.

#LI-AD2

Why Gates?

Founded in 1911 in Denver, Colorado, Gates is publicly traded on the NYSE. While we might operate in a vast amount of time zones we operate as 'One Gates' and have a common goal of pushing the boundaries of materials science. We invest in our people, bringing real-world experience that enables us to solve our customers' diverse challenges of today and anticipate those of tomorrow.

Work Environment

Gates is an Equal Opportunity and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of race, sex, color, religion, age, disability, pregnancy, citizenship, sexual orientation, gender identity, national origin, protected veteran status, genetic information, marital status, or any other consideration defined by law.

GDPR: Gates are committed to protecting your private data. Please see below the link to our Job Applicants Privacy Statement which we would ask you to read in full. By applying for this position, you confirm that you have read, understood and accepted this policy.

Gates Job Applicants Privacy Statement

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