Data Management Process Specialist

This position supports our accounting and shared services teams. We are looking for someone with extensive Excel knowledge (VLOOKUP and pivot tables). JD Edwards and/or Microsoft Dynamic 365 experience is preferred. 

This position is responsible for the accurate and timely collection, input, and maintenance of data within our ERP systems. This role requires strong attention to detail, proficiency in data entry, and a solid understanding of data management principles. The ideal candidate will be able to effectively communicate with various departments to gather necessary information and ensure data integrity.

This role begins at $23 / hour. This rate could increase based on level of experience. 

Data Collection:

• Gather data from diverse sources including internal departments, external partners, and customers.
• Verify the accuracy and completeness of collected data.
• Establish and maintain effective communication channels with data providers.

Data Entry:

• Input data into the ERP system in accordance with established procedures and standards.
• Ensure data is entered accurately and consistently.
• Perform regular data audits to identify and correct errors.

Data Management:

• Maintain and update data within the ERP system to reflect changes in business operations.
• Conduct routine data cleaning and de-duplication activities.
• Develop and implement data quality improvement initiatives.
• Generate reports and analyze data to identify trends and patterns.

Data Analysis:

• Analyze data to identify potential issues or discrepancies.
• Collaborate with cross-functional teams to resolve data-related problems.
• Provide data-driven insights to support decision-making.

Qualifications:

• High school diploma or equivalent.
• Strong data entry skills with high accuracy and speed.
• Proficiency in Microsoft Office Suite, especially Excel.
• Experience with ERP systems (Microsoft Dynamics 365 and JD Edwards preferred).
• Excellent attention to detail and organizational skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Associate's or Bachelor's degree in data analytics, business, information systems, or related field.
• Experience in data analysis and reporting.
• Knowledge of data management best practices.

*This position could be offered at different levels for candidates who qualify with a combination of advanced levels of education and/or years of experience.  The salary range will adjust along with the level of the role to match the person’s relevant experience and/or education level.

Inotiv is a growing contemporary drug discovery and development company where we “Play to Win” in an industry rich with opportunity.  Together, we face challenges and together we win in the delivery of world-class drug discovery and development solutions that impact the health and well-being of people all over the world.  There’s an opportunity for everyone at all phases of a career, each individual’s unique skill set has an impact on the work we conduct. If you have the talent and desire to impact the quality of people’s lives, we have the career opportunities to make it happen.  Join us in embracing research and science to impact the health and well-being of people all over the world.

Inotiv has been named a 2023 Top Workplace!

Salary will be commensurate with experience and responsibilities. Benefits include health and dental coverage, short- and long-term disability, paid time off, paid parental leave, 401K, and more!

Inotiv is an Equal Opportunity Employer. It is our policy to provide a fair and equal employment opportunity to all persons, regardless of age, race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, genetic information, disability, national origin, veteran status, or any other basis prohibited by law. This policy governs all aspects of employment, including selection, job assignment, compensation, discipline, termination and access to benefits and training.

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