Senior Engineer Data Business Intelligence

Essential Responsibilities:

• Develop business intelligence reports for manufacturing and business teams
• Develop high-performance, data-driven systems in a distributed infrastructure
• Leverage massive data sets for modeling, recommendations, and insight generation
• Mine large data sets to help engineers and business users gather insights and make data-driven decisions
• Develop data models for efficient query and BI tool performance
• Work directly with project stakeholders and collect business requirements
• Work on cross functional global teams to execute on large scale global BI projects
• Maintain and support existing BI infrastructure in a highly complex and fast paced environment

Required Qualifications:

• Education/Experience - BS in Computer Science, Mathematics, Data Analytics, or equivalent plus minimum 2-4 years of relevant experience, MS plus minimum of 1-3 years of relevant experience, or PhD plus 0-1 years of relevant experience.
• Language Fluency - English (Written & Verbal)
• Strong experience in SQL and/or PL/SQL
• Strong understanding of data warehouse concepts such as star schema and normalization
• Minimum of 3 years experience in Power BI
• Skilled in using office software suites (eg. Excel, Power Point, M365, etc.)
• Ability to work independently and as part of a team
• Effectively communicate with stakeholders and team members

Preferred Qualifications:

• Desire to bring data-driven decision-making and analytics to improve our products
• MS in Computer Science, Mathematics, Data Analytics, or equivalent
• Experience with other analytical tools supporting data analysis such as QlikView or QlikSense
• Expert in SQL
• Strong experience in database design & development including use of PL/SQL, stored procedures, custom functions, and query optimization
• Proficiency in designing data models in a DBMS environment
• Proficiency in creating database objects such as tables, views, materialized views, custom functions, and stored procedures
• Experience using cloud native database technologies (eg. Snowflake, Athena, Redshift, etc.)
• Experience leading and managing small to medium sized projects