Data Analyst

Duties Include:

Create and maintain master data (customer vendor product) in SAP ERP environment

Create implement and maintain basic master data management solutions that enable users to optimize the system capabilities.

Support data and process improvement efforts to implement the identified opportunities.

Execute cleansing activities for master data to ensure the overall health of the data.

Work closely with essential partners to ensure compliance with data processes and procedures.

Handle basic issues and problems under direct supervision while escalating more complex issues to appropriate staff.

Required Skills:

SAP experience managing master data or in any other capacity ( other ERPs are okay as long as candidate has experience in customer materials vendor data domains)

Strong analytics and communications skills

Ability to develop relationships with business data stakeholders

Candidate Backgrounds could include:

Master Data Analysts involved with the manual Data Creation & Maintenance Process

Customer Service Representatives that process a high volume of Sales Orders with High Accuracy

Supply Chain Analysts responsible for maintaining MRP values for a high volume of materials.

Preferred Bachelor s Degree or equivalent experience.

Responsibilities:

The Data Analyst 2 will develop and provide business insights to help leaders make better decisions.

You will partner with internal stakeholders and help execute a business technology strategy that improves compliance meets requirements and drives efficiencies through standardization and innovation.

In this position youll demonstrate familiarity with business technology concepts data management and decision support.

Facilitate data extraction collection cleansing and preparation for consumption. Drive reporting through the use of available technology (Tableau Power BI Alteryx SAP) and develop technical solutions for an effective efficient data analytics platform. Respond to adhoc data requests.

Ensure timely and accurate data models that provide management information and analysis of function performance (key performance indicators metrics).

Conduct analyses of performance variables data management measurement and analytics data design principles concept and practices.

Develop with colleagues detailed understanding of the business and offer mentorship or technical solutions to solve business problems.

Solve issues while escalating more complex issues to appropriate staff.