Business Intelligence Analyst II

Tokyo Electron Ltd
Portland, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Portland, United States of America

Tech stack

Microsoft Excel
Data analysis
Information Systems
Data Transformation
Data Systems
R
Python
Microsoft Dynamics
Microsoft Office
Power BI
SAP HANA
SharePoint
PL-SQL
SQL Databases
Macros
Data Ingestion
Snowflake
Information Technology
Vba Programming Language
Data Analytics
Tools for Reporting
Data Pipelines

Job description

Under general supervision, responsible for performing data analysis for the Service and Sales Support operations, transforming data into actionable insights and visualizations. The Business Intelligence Analyst II develops and maintains data analysis products, monitors performance, and generates reports for internal and external customers., The statements below describe the essential duties of the person or persons assigned to this job. They are not intended as an exhaustive list of all job duties and responsibilities.

  • Assist in KPI and value metric creation and analysis.
  • Contribute to data pipeline development and cross-functional collaboration.
  • Coordinate with IT on data ingestion requirements.
  • Generate ad hoc and standard reports based on business requests.
  • Integrate multiple data sources for data analytics products.
  • Participate in user groups for collaboration and information exchange.
  • Transform data into actionable insights that improve operational efficiency and inform tactical business decisions.
  • Troubleshoot data ingestion and integrity issues.
  • Provide creative data solutions supporting Service and Sales Operations activities.

Requirements

  • Experience with Power BI, Excel (VBA/Macros), Snowflake, SharePoint, Microsoft Teams, CRM (Microsoft Dynamics), Atlan.
  • Presentation and project management skills.
  • Strong analytical skills with attention to detail and accuracy.
  • Proficiency with analytics tools, modeling platforms, SQL, Python, PL/SQL, R, DAX, SAP HANA, and MS Suite., * Bachelor's Degree in Computer Science, Information Systems, Mathematics, Statistics, or related field
  • 2 years of relevant industry experience

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