Data Enablement Coordinator

Morgan Street•Chicago, IL
•Hybrid

About The Position

The Data Enablement Coordinator supports the effective use and management of data across the organization. Working with cross-functional teams and department partners, this role coordinates data processes, monitors data quality, and helps ensure systems and reporting tools are supported by reliable information. It focuses on day-to-day operational data management, while the Senior Data Manager oversees overall data strategy and decision-making. The role includes maintaining, cleansing, and standardizing data; performing quality checks and resolving discrepancies; supporting users with data access, tools, and processes; and documenting workflows and producing reports on data operations and quality metrics.

Requirements

  • At least 2 years of professional experience in a data enablement or related data role.
  • Working knowledge of databases, data warehouses, data integration, and CMS tools.
  • Experience with data management, cleansing, standardization, and quality assurance processes.
  • Strong analytical mindset and willingness to learn and adapt to new technologies.
  • Excellent problem-solving and critical-thinking skills, with keen attention to detail.
  • Genuine interest in working with data and eagerness to expand skills.
  • Willingness to take on new challenges and responsibilities.
  • Patient and approachable, with the ability to explain complex concepts clearly to varied business users.

Nice To Haves

  • Familiarity with Airtable, marketing platforms, and digital marketing channels.

Responsibilities

  • Enter and update data in databases, CMS tools, and other data repositories.
  • Cleanse and standardize data to ensure consistency and accuracy.
  • Resolve data discrepancies and errors.
  • Perform regular data quality checks and audits.
  • Identify and rectify data quality issues.
  • Ensure adherence to established data quality standards.
  • Respond to user queries and requests related to data access and usage.
  • Troubleshoot data-related issues faced by users.
  • Provide guidance and training on data tools and processes.
  • Document data processes, procedures, and workflows.
  • Create regular reports on data operations and data quality metrics.
  • Maintain up-to-date documentation for data systems and tools.

Benefits

  • Medical, dental, vision, and other benefits.
  • Paid parental and medical leave programs.
  • 401(k) with a company match component and profit sharing.
  • 15 days of paid time off plus company holidays.
  • Hybrid work model.
  • Tuition reimbursement and student loan repayment assistance.
  • Inclusive employee resource groups.
  • Learning and development programs.
  • Recognition and work-life balance programs.
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