Data Modeling Analyst, Sr. develops data models to meet the needs of the organization's information systems. Manages the flow of information between departments through the use of relational databases. Being a Data Modeling Analyst, Sr. maintains data integrity by working to eliminate redundancy. Stays informed of the ways the organization uses its data. Additionally, Data Modeling Analyst, Sr. requires a bachelor's degree. Typically reports to a manager. To be a Data Modeling Analyst, Sr. typically requires 4 to 7 years of related experience. Contributes to moderately complex aspects of a project. Work is generally independent and collaborative in nature. (Copyright 2024 Salary.com)
MAG Industries is a pioneering force in the cannabis and tobacco industry, committed to delivering high-quality products to our customers. Our dynamic team operates within a fast-paced environment, leveraging innovation and data-driven insights to drive our success. We are on the lookout for an experience data analyst!
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Job Description:
As a Data Analyst specializing in Pricing Strategy & Procurement within our dynamic team, you will play a pivotal role in shaping our pricing strategies for both sales and procurement. Leveraging your expertise in data analysis and market research, you will analyze pricing data, monitor market trends, and collaborate with key stakeholders to optimize pricing decisions and maximize profitability.
Responsibilities:
The duties and responsibilities listed are not intended to be exclusive of other duties or responsibilities that may be associated with the job, or that management deems necessary and/or may add over time.
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Why Join Us:
Note: This position will require at least 2 in-person interview rounds at our Tyrone, PA warehouse location.
MAG Industries is an equal opportunity employer, committed to the principle of equal employment opportunity for all employees and applicants for employment. Employment decisions are based on business needs, job requirements, and individual qualifications. MAG Industries does not tolerate discrimination or harassment based on any characteristic or category protected by law and encourages qualified applicants of any age, gender, race, sexual orientation, marital status, veteran status, etc. Accommodations are available for applicants with disabilities.
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