Data Engineer - Analysis & Insights

What Your Impact Will Be:

• Design and develop robust data models and other business intelligence solutions using Tableau, ThoughtSpot, and IBM Cognos Analytics to support enterprise reporting and analytics needs.
• Collaborate with stakeholders to understand business requirements, translate them into actionable development plans, and ensure deliverables align with expectations.
• Design and build reports, interactive dashboards, and visualizations to help business users gain actionable insights.
• Partner with IT and business teams to deliver analytics projects and enhancements on time and within scope, following industry best practices.
• Work closely with data engineers and architects to ensure data pipelines and integrations support BI and reporting needs effectively.
• Create and execute test plans, validate data accuracy, and coordinate the roll-out of BI solutions to end users.
• Provide training, guidance, and support to end users on BI tools and best practices, acting as a subject matter expert for analytics solutions.
• Optimize reporting performance by improving the efficiency of queries, dashboards, and system configurations.  Ensure scalability and efficiency of Mattel's BI solutions for larger data sets.
• Conduct quality assurance (QA) checks and test BI tools, dashboards, and reports to ensure accuracy.  Validate data against source systems to ensure consistency.
• Document all reports, processes, data models, and system configurations for reference and knowledge-sharing.
• Design BI solutions with appropriate access controls, ensuring data privacy and security.

What We’re Looking For:

• Bachelor’s degree in Computer Science, IT, Business Analytics or another related field.  MBA is a plus.
• 2+ years of experience in a developer role or similar position, working with reporting and visualization tools. Knowledge of ThoughtSpot, Tableau and/or IBM Cognos Analytics would be an advantage. Certification in any of these tools would be a significant advantage.
• Demonstrated experience working with data and databases required, including working understanding of SQL – Google Cloud Platform/BigQuery would be highly desirable.
• Knowledge of data preparation, ETL/ELT tools and processes would be a significant advantage – in particular, Ascend and/or Alteryx.
• Knowledge of data governance practices and data management tools, particularly Collibra, would be a significant advantage.
• Familiarity with SAFe (Scaled Agile Framework) principles and practices, including an understanding of Agile methodologies, ceremonies, and tools. Certification would be a significant advantage.
• Good working knowledge of Microsoft Office applications.