Key skills
PythonSQLRMachine LearningETLAnalyticsLookerBIBusiness IntelligenceTableauPower BISnowflakeBigQueryRedshift
About this role
ImpetusIT is a staffing company hiring for a pharma client seeking a BI Analyst to support business operations through analytics, reporting, and data pipeline development. The role involves designing and maintaining BI dashboards, optimizing ETL pipelines, and performing advanced data analysis using various BI tools and SQL.
Responsibilities:
- Design, develop, and maintain BI dashboards using Power BI, Tableau, or Looker
- Perform advanced data modeling, cleansing, and transformation for accurate reporting
- Build and optimize ETL pipelines to ensure seamless data flow across systems
- Work with structured and unstructured datasets for comprehensive analysis
- Write complex SQL queries for data extraction and performance tuning
- Strong experience with BI tools (Power BI, Tableau, QlikView, or similar)
- Proficiency in SQL for data querying and manipulation
- Hands-on experience with ETL processes and data pipeline development
- Familiarity with cloud-based data warehouses (Snowflake, BigQuery, or Redshift)
- Ability to optimize database performance for efficient querying
- Understanding of Python or R for data analytics and automation
- Knowledge of API integrations for data ingestion
- Exposure to machine learning applications in business intelligence
Requirements:
- Design, develop, and maintain BI dashboards using Power BI, Tableau, or Looker
- Perform advanced data modeling, cleansing, and transformation for accurate reporting
- Build and optimize ETL pipelines to ensure seamless data flow across systems
- Work with structured and unstructured datasets for comprehensive analysis
- Write complex SQL queries for data extraction and performance tuning
- Strong experience with BI tools (Power BI, Tableau, QlikView, or similar)
- Proficiency in SQL for data querying and manipulation
- Hands-on experience with ETL processes and data pipeline development
- Familiarity with cloud-based data warehouses (Snowflake, BigQuery, or Redshift)
- Ability to optimize database performance for efficient querying
- Understanding of Python or R for data analytics and automation
- Knowledge of API integrations for data ingestion
- Exposure to machine learning applications in business intelligence