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Anlst Business Sys Analysis

2.00 to 0.00 Years   Bangalore   18 Dec, 2020
GLOBALFOUNDRIES
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryManufacturing
Functional AreaDBA / Datawarehousing,Sales / BD
EmploymentTypeFull-time

Job Description

*Business Intelligence EngineerThe Business Intelligence Engineer for Enterprise Analytics as part of Applied Intelligence Solutions will be based in the GLOBALFOUNDRIES office in Bangalore, India. The Enterprise Analytics team is responsible for providing business intelligence solutions for the global corporate and shared services organizations who provide support to our manufacturing facilities in the Northeast US, Germany, and Singapore. The Enterprise Analytics team is responsible to conceptualize and provide timely, high-quality solutions that address analytical needs of our stakeholders in a leading-edge semiconductor company.The person in this role will be responsible for the design, implementation, optimization and support of enhancements and deficiency corrections, and will contribute to continuous technical improvement activities and roadmap of functionality and features. You will be responsible for designing and developing sophisticated, high-quality data integration and business intelligence solutions that address analysis needs of engineers up to executive management in a modern semiconductor company. Being part of a young and dynamic team you will further develop your skills in data warehouse development as well as business analysis for such solutions. Strong communication skills and a process oriented mindset are required. Willingness to provide on-call 24x7 support on a rotational basis is required.As a Business Intelligence Engineer in AIS (Applied Intelligence Solutions) you will work with internal customers as well as internal and external project partners.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
  • Be available for 24x7 support on a rotational basis
, *Required Qualifications:
  • Education/Experience - BS in Computer Science, Data Analytics, or equivalent
  • Years of Experience: 2-4
  • Fluency in English Language Good
  • Strong experience in SQL and PL/SQL
  • Strong understanding of data warehouse concepts such as star schema and normalization
  • Minimum of 2 years experience in Power BI/MSBI
  • Experience in SSRS, SSAS cube design & development
  • Experience in SSIS package design, development & implementation
  • Skilled in using office software suites (eg. Excel, Power Point, GSuite, 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, Data Analytics, or equivalent
  • Experience with other analytical tools supporting data analysis such as QlikView
  • Proficiency in SQL
  • Experience designing data models in a DBMS environment
  • Experience creating database objects such as tables, views, materialized views, custom functions, and stored procedures
  • Experience using cloud native database technologies (eg. Snowflake, Athena, etc.)
  • Experience leading and managing small to medium sized projects

Keyskills :
strong communication skillscontinuous improvement facilitationstar schemadata modelsglobal teamsdata analysisdata analyticsshared servicescomputer sciencedata integration

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