Data Analyst
Job Description:
Data Analyst - Lewisburg, OH - Onsite
As a Data Analyst your role will be focused on improvement and standardization of site data and digital systems. You will also work with regional and global partners of data and digital systems integration projects and with area triads to analyze and action data-based improvement initiatives. Developing site digital strategy and supporting projects for other Royal Canin Sites.
What we are looking for:
Education & Professional Qualifications:
Data Analyst - Lewisburg, OH - Onsite
As a Data Analyst your role will be focused on improvement and standardization of site data and digital systems. You will also work with regional and global partners of data and digital systems integration projects and with area triads to analyze and action data-based improvement initiatives. Developing site digital strategy and supporting projects for other Royal Canin Sites.
What we are looking for:
Education & Professional Qualifications:
- BS in (engineering/IT/computer science) or 3-5 years equivalent work experience
- Role requires travel (10% approx.) to participate in training and support other Sites
- Preferred experience working in relationship-based team environment
- Proven experience with ERP & Warehouse Management Systems is a must
- Experience with BI platforms (Power Bi, Power Apps) will be nice to have,
- Computer literacy including knowledge of programming in at least one of below: Python, SQL, VBA.
- Experience working with PLCs and Controls/Automation is preferred
- Fluent in English
- New products implementation and data management in all required systems
- Improvement and standardization of data
- WMS and EMS system administration
- ERP system Key User
- Cooperation with external warehouse
- Taking part of development of internal IT systems
- Period closing actions monitoring and supervision
- Implementations of new systems and solutions
- KPI and reports preparation
- Develop 1-to-5-year site improvement strategy with productivity and efficiency improvement projects outlined.
- Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition. Utilizing data visualization tools like PowerBi.
- Managing data transformation and troubleshooting data processing issues
- Work with over 130,000 diverse and talented Associates, all guided by The Five Principles.
- Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
- Best-in-class learning and development support from day one, including access to our in-house Mars University.
- An industry competitive salary and benefits package, including company bonus.
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Information Technology -
Industries
Manufacturing
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