Hitachi Global Air Power is hiring: Lead SAP Business Systems Analyst – Data M

Hitachi Global Air Power

We build the machines that power industry. We are Hitachi Global Air Power, a leading global industrial compressed air manufacturer driving the innovations that keep the world moving.

From our headquarters in Michigan City, Indiana, our compressed air solutions power manufacturing operations all around the globe; from food and beverage to life-saving pharmaceuticals and cutting-edge semiconductor chips. Our portable compressors provide the air power to build roads and bridges, lay pipelines and aid in oil and gas mining and production.

We are a team of innovators, engineers, and quality experts with a shared vision to create the next generation of efficient, environment-forward compressed air solutions that meet the demands of today, while boldly contributing to a sustainable, circular economy. With more than 58 years of legacy and trusted performance through our brands - Hitachi, Sullair, and Champion (Australia), we are proud of our reputation for reliability, durability, and performance and groundbreaking engineering.

Join us in building a future where your work has an impact. At Hitachi Global Air Power, you’ll be part of a global network that’s shaping the future of industrial power.

Summary of the position:

The SAP Data Migration & Sustainment Lead Analyst is responsible for overseeing and executing data migration activities as part of SAP implementation or upgrade projects. This role involves leading the planning, design, and execution of data migration strategies, ensuring data accuracy, integrity, and compliance throughout the process. The SAP Data Migration Lead Analyst will work closely with cross-functional teams, including IT, business units, and external consultants, to ensure a seamless transition of data into the SAP environment.

Duties and responsibilities:

Data Migration Strategy & Planning:

• Develop and manage comprehensive data migration strategies for SAP implementation or upgrade projects.
• Define data migration scope, objectives, and timelines in collaboration with project stakeholders.
• Identify data migration risks and develop mitigation plans to ensure successful data transfer.

Data Mapping & Analysis:

• Analyze legacy data sources to identify data quality issues, inconsistencies, and gaps.
• Define data mapping rules between legacy systems and SAP, ensuring alignment with business processes.
• Collaborate with business units to validate data mapping and ensure accuracy and completeness.

ETL Process Management:

• Design and oversee Extract, Transform, Load (ETL) processes for data migration, ensuring efficient and accurate data transfer.
• Manage data extraction from legacy systems, transformation, and loading into SAP environments.
• Monitor ETL processes to ensure data integrity, consistency, and compliance with data migration standards.

Testing & Validation:

• Lead data migration testing activities, including unit testing, integration testing, and user acceptance testing.
• Ensure that migrated data meets quality standards and business requirements.
• Coordinate with business users and project teams to validate data accuracy post-migration.

Data Cleansing & Enrichment:

• Identify and resolve data quality issues, including data cleansing, de-duplication, and enrichment.
• Implement data validation rules and procedures to maintain data integrity throughout the migration process.

Project Leadership & Coordination:

• Lead data migration projects, including planning, resource allocation, and coordination with cross-functional teams.
• Provide regular updates to project stakeholders on data migration progress, risks, and issues.
• Ensure alignment of data migration activities with overall project timelines and objectives.

Documentation & Training:

• Develop and maintain detailed documentation of data migration processes, including data mapping, ETL procedures, and validation rules.
• Provide training and support to end-users and project teams on data validation tools and processes.
• Ensure proper documentation of data migration outcomes and lessons learned for future reference.

Qualifications:

• Bachelor’s degree in information technology, Data Management, Computer Science, or a related field.
• Minimum of 7 years of experience with data migrations in SAP environments.
• Proven experience in managing large-scale data migration projects, including ETL processes and data validation.
• Strong knowledge of SAP data structures, data governance, and best practices in data migration.
• Excellent analytical, problem-solving, and communication skills

Preferred Skills

• Experience with SAP tools such as LSMW, SAP Data Services, or SAP S/4HANA Migration Cockpit.
• Knowledge of data governance frameworks and data quality management practices.
• Experience with data migration in complex, multi-system environments.
• Strong project management skills and experience leading cross-functional teams.
• Ability to work effectively under pressure and manage multiple priorities.

Key Behaviors

• Manages time effectively, meets deadlines, and achieves established goals and objectives.
• Assists in the establishment, accomplishment, and continuous evaluation of goals.
• Assumes responsibility for the accuracy of work processes and the flow of multiple tasks.

Direct reports:

No

The successful candidate is responsible for complying with Hitachi Global Air Power Code of Ethics and related policies. In performing the job, the incumbent shall take all steps necessary to comply with our safety policies and requirements and must actively support the organization's efforts to meet and exceed its goals of creating and maintaining a safe workplace.

This job description is to serve as a guide. It is intended to be flexible and will continue to evolve over time with business needs and demands and may be updated periodically and at the Company's discretion.

Hitachi Global Air Power is an equal opportunity employer and will not discriminate based on race, religion, color, age, gender, sexual orientation, national origin, genetic information, veteran status, physical or mental disability, or other protected categories under applicable law, whether in recruitment, employment, promotion, transfer, compensation, or other conditions of employment.