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Titan Master Data Analyst - Back Office

Schneider Electric

Titan Master Data Analyst - Back Office

Schneider Electric

Franklin, Tennessee; Monterrey, Mexico; Dallas, Texas; Chicago, Illinois; Boston, Massachusetts; Louisville, Kentucky; Raleigh, North Carolina; Phoenix, Arizona; Boulder, Colorado; Costa Mesa, California; Pleasanton, California

·

On-site

·

Full-time

·

2w ago

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 – Titan Transformation role is a key contributor in deploying S/4HANA across Schneider Electric manufacturing plants.

This position ensures that all operational, supply chain, maintenance, and financial master data is prepared, validated, migrated, and governed with high accuracy to support successful plant cutover and post-go-live stability.

The analyst will work closely with functional domains (Manufacturing, Plant Maintenance, Planning/Procurement, Logistics/Warehousing, and Finance/Costing) to translate business requirements into clean, compliant, migration-ready data.

This role requires strong analytical skills, deep attention to detail, and the ability to take initiative with minimal supervision in a fast-paced deployment environment.

Key Responsibilities Collaborate with business and technical teams in an agile environment to identify key data objects and define business rules for accurate data migration and lifecycle processes.

Prepare, cleanse, validate, and manage master data across manufacturing (PP), procurement, planning/MRP, plant maintenance (PM), warehouse/logistics, quality (QU), and finance/costing domains.

Execute Upload Data Sheets (UDS), support mock loads, delta loads, troubleshoot defects, and participate in final cutover activities.

Analyze and improve data quality using Excel, structured validation rules, and problem-solving techniques.

Communicate risks, dependencies, and timelines effectively to stakeholders across time zones.

Own the creation and testing (positive/negative) of data templates and tools to ensure readiness for SAP uploads.

Partner with cross-functional teams to define migration requirements and ensure tools/processes align with business needs.

Support continuous improvement of templates, documentation, automation, and best practices.

Work closely with business users to understand evolving data needs and support ongoing enhancements.

Mandatory Skills Strong understanding of business processes in manufacturing, including logistics, procurement, planning, finance, and quality. 5+ years of experience working with master data; SAP module experience strongly preferred.

Familiarity with SAP ECC 6.0 and/or S/4HANA data models.

Advanced Excel capabilities (VLOOKUP/XLOOKUP, INDEX/MATCH, pivot tables, filters, complex formulas; macros a plus).

Experience: working with ERP master data (S/4HANA preferred).

Comfort using data queries such as SQL.

Strong analytical, problem-solving, communication, and collaboration skills.

Ability to work independently in fast-paced, deadline-driven environments.

Detail-oriented, highly organized, and committed to data accuracy and consistency.

Ability to partner effectively across global, cross-functional teams.

Who will you report to?

This role will report to the Director, Business Transformation What qualifications will make you successful for this role? 3+ years of experience in at least one functional domain: manufacturing, planning & procurement, warehouse/logistics, plant maintenance, quality, or finance/costing. 5+ years working with master data in complex environments.

Strong understanding of SAP ECC or S/4HANA master data structures.

Proven ability to execute data loads (UDS), support migrations, and validate data quality.

Demonstrated experience managing data templates, testing, troubleshooting, and cutover readiness activities.

High initiative, self-directed work style, and ability to drive tasks with minimal oversight.

Strong communication skills with the ability to clearly articulate risks and dependencies.

Let us learn about you!

Apply today.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters.

At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success.

We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play.

It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization.

We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today! €36 billion global revenue +13% organic growth 150 000+ employees in 100+ countries #1 on the Global 100 World’s most sustainable corporations You must submit an online application to be considered for any position with us.

This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best.

We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values.

We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value.

Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders.

You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer.

It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

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 – Titan Transformation role is a key contributor in deploying S/4HANA across Schneider Electric manufacturing plants.

This position ensures that all operational, supply chain, maintenance, and financial master data is prepared, validated, migrated, and governed with high accuracy to support successful plant cutover and post-go-live stability.

The analyst will work closely with functional domains (Manufacturing, Plant Maintenance, Planning/Procurement, Logistics/Warehousing, and Finance/Costing) to translate business requirements into clean, compliant, migration-ready data.

This role requires strong analytical skills, deep attention to detail, and the ability to take initiative with minimal supervision in a fast-paced deployment environment.

Key Responsibilities Collaborate with business and technical teams in an agile environment to identify key data objects and define business rules for accurate data migration and lifecycle processes.

Prepare, cleanse, validate, and manage master data across manufacturing (PP), procurement, planning/MRP, plant maintenance (PM), warehouse/logistics, quality (QU), and finance/costing domains.

Execute Upload Data Sheets (UDS), support mock loads, delta loads, troubleshoot defects, and participate in final cutover activities.

Analyze and improve data quality using Excel, structured validation rules, and problem-solving techniques.

Communicate risks, dependencies, and timelines effectively to stakeholders across time zones.

Own the creation and testing (positive/negative) of data templates and tools to ensure readiness for SAP uploads.

Partner with cross-functional teams to define migration requirements and ensure tools/processes align with business needs.

Support continuous improvement of templates, documentation, automation, and best practices.

Work closely with business users to understand evolving data needs and support ongoing enhancements.

Mandatory Skills Strong understanding of business processes in manufacturing, including logistics, procurement, planning, finance, and quality. 5+ years of experience working with master data; SAP module experience strongly preferred.

Familiarity with SAP ECC 6.0 and/or S/4HANA data models.

Advanced Excel capabilities (VLOOKUP/XLOOKUP, INDEX/MATCH, pivot tables, filters, complex formulas; macros a plus).

Experience: working with ERP master data (S/4HANA preferred).

Comfort using data queries such as SQL.

Strong analytical, problem-solving, communication, and collaboration skills.

Ability to work independently in fast-paced, deadline-driven environments.

Detail-oriented, highly organized, and committed to data accuracy and consistency.

Ability to partner effectively across global, cross-functional teams.

Who will you report to?

This role will report to the Director, Business Transformation
What qualifications will make you successful for this role? 3+ years of experience in at least one functional domain: manufacturing, planning & procurement, warehouse/logistics, plant maintenance, quality, or finance/costing. 5+ years working with master data in complex environments.

Strong understanding of SAP ECC or S/4HANA master data structures.

Proven ability to execute data loads (UDS), support migrations, and validate data quality.

Demonstrated experience managing data templates, testing, troubleshooting, and cutover readiness activities.

High initiative, self-directed work style, and ability to drive tasks with minimal oversight.

Strong communication skills with the ability to clearly articulate risks and dependencies.

Let us learn about you!

Apply today.

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About Schneider Electric

Schneider Electric

Schneider Electric SE is a French multinational corporation that specializes in energy technology, covering electrification, automation, and digitalization for industry and homes.

10,001+

Employees

Rueil-Malmaison

Headquarters

Reviews

4.0

45 reviews

Work Life Balance

3.6

Compensation

4.3

Culture

4.2

Career

4.5

Management

3.5

84%

Recommend to a Friend

Pros

Cutting-edge technology stack and interesting technical challenges

Competitive compensation packages with equity

Strong engineering culture with focus on code quality

Cons

Some legacy systems that need modernization

Work-life balance can be challenging during product launches

Fast-paced environment with tight deadlines

Salary Ranges

3 data points

Principal/L7

Senior/L5

Principal/L7 · Principal Data Scientist

0 reports

$211,000

total / year

Base

-

Stock

-

Bonus

-

$179,350

$242,650

Interview Experience

3 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 33%

Neutral 67%

Negative 0%

Interview Process

1

Application Review

2

Technical/Hiring Manager Interview

3

HR Screen

4

Final Interview Round

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit