Titan Data Analyst – Variant Configuration (SAP)

Schneider Electric • Monterrey, OH

4h

About The Position

The Data Analyst – Variant Configuration (SAP) is responsible for building, maintaining, and optimizing configurable product data within SAP S/4HANA and ECC platforms. This role ensures that configurable products, rules, characteristics, dependencies, and logic are accurately represented so downstream functions—manufacturing, planning, ordering, and quoting operate reliably.
This analyst will work directly with the Variant Configuration (VC) team, comprised of Business, Functional, and data Analysts, which collaborates with engineering, product management, manufacturing, and digital/IT teams to translate business requirements into structured configuration logic and clean master data. The role requires strong analytical thinking, the ability to learn modeling tools (like ACE or proprietary rule engines), and excellent problem‑solving skills.

Requirements

• Experience with SAP Variant Configuration (S/4HANA or ECC): Configuration Profiles Characteristics, Classes, Dependencies, Constraints Super BOMs and Super Routings Understanding of material Masters, BOM and Routing structures and Classification systems
• Experience with data tools such as: Excel (advanced) Power BI, Tableau or similar SQL query basics (a plus) SAP tables (Query/SE16/) for data extraction
• Ability to translate engineering/product rules into structured logic.
• Strong troubleshooting skills: Analyze selection errors Identify missing logic dependencies Diagnose inconsistencies in materials or BOM explosion
• Ability to think in decision logic, truth tables, and cause‑and‑effect structures.

Nice To Haves

• Experience with ACE configuration tools or similar rule‑based engines.
• Knowledge of BRF+ (Business Rules Framework).
• Familiarity with SAP CPQ, product configurators, or design automation tools.
• Experience in manufacturing, engineering‑to‑order, or configurable products business processes.
• Understanding of digital transformation, automation, or data governance strategies.
• Working knowledge of Python, R, or automation tools (not required but future‑proof).

Responsibilities

• Translate engineering and manufacturing requirements and documents into structured SAP logic to ensure correct product behavior.
• Create, Maintain and Deliver Configurable data scope for loading in test and production environments.
• Build and maintain SAP Variant Configuration models (VC) including: Characteristics, Classes, Object Dependencies, Configuration profiles, etc.
• Extract, analyze and validate VC data from SAP tables. Collaborate with functional and technical teams to resolve data related issues.
• Create and maintain data objects within ACE Product Configuration tool, to support data transference in SAP.
• Detail‑oriented with a commitment to data quality.
• Ensure material master, BOMs, routings, and classification data are accurate and aligned with VC logic.
• Maintain data quality through audits, validations, and governance processes.
• Participate in Data Quality initiatives (DPU, DPO, Yield, KPIs).
• Perform data mining, defect analysis, unit testing, and validation activities.
• Track and measure KPIs related to configuration accuracy and error reduction.
• Work with Engineering, Product Management, IT, and Manufacturing to gather requirements.
• Support Order Management, Supply Chain, and Commercial teams for product configuration issues.
• Excellent communication—can explain technical logic to non‑technical teams.
• Contribute to projects involving: VC logic and process improvements Implementing rule automation S/4HANA migration of configuration data improvements
• Identify opportunities to simplify models, reduce complexity, and improve performance.

Benefits

• medical (with member reward points)
• dental
• vision
• basic life insurance
• Benefit Bucks (credits to apply towards your benefits)
• flexible work arrangements
• paid family leaves
• 401(k) + match
• well-being and recognition (including service anniversary) programs
• 12 holidays per year
• 15 days of paid time off per year (pro-rated in the first year of employment based on start date)
• opportunity to purchase company stock (eligibility depends on start date)
• military leave benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed