Data Analyst
6 dagen geleden
The Data Analyst will play a critical role in supporting Boston Scientific's transition to SAP S/4Hana and Salesforce/ServiceMax, enhancing and standardizing core business processes, leveraging data to drive profitable and sustainable growth.
Key Responsibilities- Conversion Object Identification: Identify and document necessary data conversion objects for successful SAP S/4Hana and Salesforce/ServiceMax implementation.
- Conversion Strategy Development: Develop and execute comprehensive data conversion strategies, ensuring data integrity and consistency across systems.
- Load Template Creation: Design and create load templates to guide teams on required data inputs for system migration.
- Data Cleansing: Lead and coordinate data cleansing activities, collaborating with business units to ensure data quality and accuracy.
- Data Mapping: Map existing data to new system requirements, ensuring proper alignment and functionality within SAP S4 and ServiceMax.
- Data Validation: Perform data validation and testing to ensure successful data migration and integration.
- Documentation: Maintain comprehensive documentation of data conversion processes, strategies, and activities.
- Data Asset Creation and Automation: Support data analytics teams in creating custom data sets and automation solutions within the SAP and Salesforce ecosystems.
- Data Process Understanding: Develop an understanding of business processes as they pertain to data.
- Bachelor's degree in Data Science, Information Systems, Business Analytics, or a similar discipline.
- 3+ years of experience in data analysis, data migration, or data management roles.
- Proficiency in SAP S/4Hana and Salesforce/ServiceMax systems.
- Experience with Tableau (Prep), PowerBI, SQL, and/or Python.
- Strong analytical skills, experience with data mapping, data cleansing, and data validation processes.
- Excellent documentation skills, attention to detail, and strong communication and collaboration skills.
- Preferred: Experience with large-scale system implementations or transformations, knowledge of data governance and data quality best practices.
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