Analytics Engineer

Fender Musical Instruments Corporation is a world-famous brand with offices across the globe. Fender was born in Southern California and has built a worldwide influence beyond the studio and the stage. A Fender is more than an instrument; it’s a cultural symbol that resonates globally.

Join our fully remote dynamic Data and Analytics team and play a pivotal role in transforming our organization into a data-driven powerhouse! We're on a mission to equip the company with scalable and sustainable data products, fostering a culture where data informs every decision.

We are searching for an Analytics Engineer to join our team. You'll be a key driver of this initiative, helping build solutions that empower stakeholders to extract valuable insights and propel strategic growth.

Essential Functions:

• Develop and maintain 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.

Qualifications:

• 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

Nice to Have

• Experience:
  • documenting source to target mappings, data dictionaries, and general modeling documentation.
  • carrying out projects in an Agile environment
  • working with Alteryx, Amplitude, Segment, Power BI, and Tableau
  • querying, building, and optimizing ‘big data’ pipelines and datasets.
  • with data lakes and data warehouses
  • in 3NF, star, and snowflake schema design and development
• Proficiency in relational data modeling
• Functional knowledge of financial systems and processes
• Understanding of Data Governance, data quality, metadata management, middleware, or privacy concepts

About Fender Musical Instruments:

Fender Musical Instruments Corporation (FMIC) is one of the world’s leading musical instrument manufacturers, marketers and distributors, whose portfolio of brands includes Fender®, Squier®, Presonus®, Gretsch®, Jackson®, EVH®, Charvel®, Bigsby®, and Groove Tubes®, among others. For more information, visit www.fender.com. Fender Musical Instruments Corporation is an equal opportunity employer and considers qualified applicants for employment without regard to race, gender, age, color, religion, disability, veterans’ status, sexual orientation, or any other protected factor.