Data Analyst (2 years contract)
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Angajator: | Honeywell |
Domeniu: |
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Tip job: | full-time |
Nivel job: | 1 - 5 ani experienta |
Orase: |
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Actualizat la: | 26.06.2022 |
Remote work: | On-site |
Honeywell is a Fortune 100 company that invents and manufactures technologies to address tough challenges linked to global macro trends such as safety, security, and energy. With approximately 122,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.
Cerinte
Qualifications:
Bachelor’s Degree;
Several years’ experience in data / systems management. SAP knowledge essential;
1+ years Data analytics experience;
High level of MS office skills (Excel, PowerPoint);
Awareness and understanding of how the quality of data, and processes by which that data is created, may affect business intelligence reporting;
Strong knowledge/experience with CRM/ERP system business processes;
Business fluent in written and spoken English, other European languages represent a plus.
We offer:
Medical plan provided by Omniasig;
Budget for flexible benefit scheme which can be used for travel, sports, dental scheme, and others;
Transportation budget and fuel cards;
Business Travel Accident Insurance;
Voluntary defined contributory pension plan;
Meal allowance;
Paid vacation and time off Honeywell employees are provided Christmas and Children vouchers, as well different family aids.
Are you ready to help us make the future?
We have an opportunity for a Data Analyst (2 years contract) to join our Safety and Productivity Solutions team in Bucharest. As a member of the Customer Master Data Team, Data Analyst works closely with the business units to capture and document business requirements of the existing ERP systems, business operations and develop data migration and data cleansing strategies
Data Analyst responsibilities:
Communicating with and assisting existing business units with understanding migration to the central ERP system;
Identifying legacy systems and core subject matter experts and super users, assisting with defining how to extract legacy data;
Performing data scoping, profiling and documenting how existing data is used throughout the business;
Performing data mapping activities from existing system to central ERP systems, defining data filter methods and defining In/out (extract) criteria;
Developing an overall data architecture of the existing legacy system and cleansing actions and start cleaning master data;
Running ERP deployments scorecards for customer master data.
Working hours are 9 - 17.30.
Hybrid work (3 days from the office every week).
Advanced English is essential.
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