Analytics Engineer

World-leading musical instrument manufacturer and distributor of brands including Fender, Squier, Presonus, Gretsch, and others.
Data
Entry-Level Software Engineer
Remote
1+ year of experience
Consumer

Description For Analytics Engineer

Fender Musical Instruments Corporation (FMIC), a globally renowned musical instrument manufacturer, is seeking an Analytics Engineer to join their Data and Analytics team. This role presents an exciting opportunity to work for a cultural icon in the music industry while helping transform FMIC into a data-driven organization.

As an Analytics Engineer, you'll be instrumental in building scalable data products and fostering a data-driven culture. The role combines technical expertise with business acumen, requiring proficiency in SQL, Python, and data modeling. You'll work with cross-functional teams to design and implement analytics solutions that drive strategic growth.

The ideal candidate should have 1-3 years of experience in data analysis and a strong educational background in a quantitative field. You'll need excellent communication skills to explain technical concepts to non-technical stakeholders and work independently as a Subject Matter Expert.

The position offers the flexibility of full remote work, making it an attractive opportunity for professionals seeking work-life balance. You'll be part of a dynamic team that's pushing the boundaries of data analytics in a company that has built a worldwide influence beyond just musical instruments.

Working at Fender means contributing to a legacy brand that resonates globally while helping modernize its approach to data. The company values innovation, technical excellence, and maintains an inclusive work environment that welcomes diverse perspectives. This role is perfect for someone who wants to combine their passion for data engineering with the opportunity to impact a company that has shaped modern music culture.

The position comes with opportunities for growth and learning, with exposure to modern data tools and technologies. You'll be at the forefront of implementing best practices in data governance, quality standards, and analytics solutions that will help shape the future of this iconic brand.

Last updated 3 months ago

Responsibilities For Analytics Engineer

  • Develop and maintain robust documentation and best practices while enforcing data quality standards
  • Collaborate with cross-functional teams to design data assets and integrate analytics solutions
  • Conduct technical research and data profiling to recommend innovative solutions
  • Query and assemble large, complex datasets from diverse data sources
  • Identify and resolve data management issues
  • Promote data best practices and provide education across the organization

Requirements For Analytics Engineer

Python
  • BA/BS degree in Industrial or Systems Engineering, Computer Science, Analytics, Statistics, Informatics, or Information Systems
  • 1 to 3 years of experience in root cause analysis of data and processes
  • Ability to work independently as a Data SME
  • Strong communication skills
  • Proficiency in SQL and Python
  • Knowledge of data modeling concepts
  • Advanced proficiency in spoken and written English

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