Fender Musical Instruments Corporation
Since 1946, Fender has revolutionized music and culture as one of the world’s leading musical instrument manufacturers
1001 - 5000
Analytics Engineer
April 27
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Fender Musical Instruments Corporation
Since 1946, Fender has revolutionized music and culture as one of the world’s leading musical instrument manufacturers
1001 - 5000
Description
• Join a fully remote dynamic Data and Analytics team • Play a pivotal role in transforming the organization into a data-driven powerhouse • Responsible for developing and maintaining documentation and best practices materials • Collaborate with cross-functional teams to develop data assets, integrate analytics solutions, and ensure seamless integration • Establish and maintain robust data quality standards, high-quality documentation, and data governance processes • Conduct technical research and data profiling to recommend innovative data solutions that create business value • Translate product specifications into scalable, reusable, and maintainable solutions • Access and query various data sources to assemble large, complex datasets that meet business requirements • Proactively identify and address data management issues to improve data quality and compliance • Seek innovative ways to enhance products and services, including identifying and implementing process improvements for scalability • Promote awareness and education around data best practices within the organization • Additional duties as assigned
Requirements
• BA/BS degree in Industrial or Systems Engineering, Computer Science, Analytics, Statistics, Informatics, Information Systems or another quantitative field • Experience in root cause analysis of data/processes to address business questions and identify opportunities for improvement. • Ability to work independently as a Data SME, responsible for the data processes and quality within a specific line of business or area. • Strong communication skills to convey requirements, address questions, and explain technical issues to non-technical stakeholders are essential. • Understanding and working knowledge of SQL and Python • Experience with relational SQL and NoSQL databases, including PostgreSQL, DynamoDB, and Redshift • Experience with defining and implementing naming standards, abbreviations, guidelines, and best practices. • Knowledge of relational and dimensional models, keys and constraints, and normalization and indexes
Benefits
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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