Data Analyst Co-Op

Motorola SolutionsOntario,Canada Offsite, ON

About The Position

As a Data Analyst Co-op at Motorola Solutions, you will work closely with our internal teams to support the development of processes and data-driven solutions, assist in analyzing datasets, and learn how to translate data insights into business value.

Requirements

  • Currently pursuing a Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Solid foundational knowledge of SQL, with the ability to write queries for data manipulation, extraction, and analysis within relational databases.
  • Familiar with Python, specifically for data manipulation (e.g., Pandas, NumPy) and automation tasks.
  • Strong understanding of core data modeling concepts and data migration methodologies.
  • Hand-on experience creating dashboards and reports in visualization tools, such as Tableau or Power BI, to present analytical results.
  • Proven ability to work independently on assigned tasks while collaborating effectively in a team environment.
  • Enrolled in an undergraduate degree program in a computer science or similar technical program at a Canadian University with a graduation date of December 2026 or later.

Responsibilities

  • Assist in conducting data analysis from multiple sources, generating reports, and presenting findings to technical and non-technical audiences
  • Assist in identifying data dependencies between systems, conducting validation checks, and data audits to verify integrity during the migration and integration lifecycle, and learning to resolve discrepancies
  • Support data mapping, cleansing, and transformation processes to ensure consistency across source systems
  • Collaborate with team members and stakeholders to achieve business objectives
  • Document data workflows, schemas, and mapping rules to facilitate team knowledge sharing.
  • Learn and apply best practices regarding data governance, security, and quality control.
  • Proactively identify opportunities to optimize data workflows and improve processes
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