Titan Data Analyst – Variant Configuration; SAP
Listed on 2026-02-28
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IT/Tech
Data Analyst, Data Engineer
For this U.S. based position, the expected compensation range is $101,600 - $152,400 per year, which includes base pay and short-term incentive.
The compensation range for this full-time position applies to candidates located within the United States. Our salary ranges are determined by reviewing roles of similar responsibility and level. Within the salary range, individual pay is determined by several factors including performance, knowledge, job‑related skills, experience, and relevant education or training. Schneider Electric also offers a comprehensive benefits package to support our employees, inclusive of medical (with member reward points), dental, vision, and 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), and military leave benefits.
You must submit an online application to be considered for the position. The Company will accept applications on an ongoing basis until the position is filled.
If you believe this job posting is not compliant with applicable state pay transparency laws in the U.S., please notify the Company as soon as possible upon discovery by completing this form Job Posting Compliance Form.
The Data Analyst – Variant Configuration (SAP) is responsible for building, maintaining, and optimizing configurable product data within SAP S/4
HANA 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.
Key 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/4
HANA migration of configuration data improvements
- Identify opportunities to simplify models, reduce complexity, and improve performance.
- Tight deadlines and multiple priorities, requiring…
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