T
Business Intelligence Specialist
T
Business Intelligence Specialist
Ti StepsQuick Apply
- Posted a month ago
- Over 100 applicants have applied
Job Description
Job Summary:
- Responsible for analyzing data and providing insights to support business decision-making and strategy.
Key Responsibilities:
- Collect, analyze, and interpret data from various sources.
- Develop and maintain dashboards and reports.
- Provide insights and recommendations based on data analysis.
- Collaborate with cross-functional teams to support business initiatives.
- Ensure data accuracy and integrity.
Qualifications:
- Bachelors degree in Data Science, Business Analytics, or related field.
- - 3-6 years of experience in business intelligence, data analysis, or analytics.
- - Proficiency in data analysis tools (e.g., SQL, Tableau, Power BI).
Key Skills:
- - Data Analysis
- - Dashboard Development
- - Reporting
- - Analytical Thinking
- - Communication
More Info
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Key Skills
About Company
We are a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, enterprise systems and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.
Skills:
data engineering , snowflake , Data Modeling, Sql, ELT, Apache Airflow, Git, Data Warehousing, Python, AWS, Etl, CI CD, dbt, Cloud Data Platforms
Skills:
snowflake , Databricks, Power Bi, Sql, IDMC, AI ML integration, ETL processes, Informatica IICS
Skills:
Oracle Sql Server, Query Optimization, Data Warehousing, Informatica Powercenter, Sql, Oracle PLSQL, Sap Bw, Etl, Performance Tuning, Database Development, IBM Cognos BI suite
Skills:
Power Bi, Ssrs, PowerShell, Tableau, Azure, Python, Sql, Power Query M