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

Senior Engineer Data Business Intelligence