ImpetusIT
One of our staffing partners is hiring for a Financial client who is seeking a
BI Analyst . C ollect, process, and analyze data to support business decision-making. If you're detail-oriented and thrive on uncovering trends, we’d love to hear from you! Salary offered $55-75k per year The staffing company or client will reach directly to the applicants. 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 Collaborate with data engineers to enhance data infrastructure and improve accessibility Monitor key performance indicators (KPIs) and provide actionable insights Automate reporting processes using Python, R, or other scripting tools 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 Ability to optimize database performance for efficient querying Understanding of Python or R for data analytics and automation Excellent analytical, problem-solving, and communication skills
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BI Analyst . C ollect, process, and analyze data to support business decision-making. If you're detail-oriented and thrive on uncovering trends, we’d love to hear from you! Salary offered $55-75k per year The staffing company or client will reach directly to the applicants. 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 Collaborate with data engineers to enhance data infrastructure and improve accessibility Monitor key performance indicators (KPIs) and provide actionable insights Automate reporting processes using Python, R, or other scripting tools 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 Ability to optimize database performance for efficient querying Understanding of Python or R for data analytics and automation Excellent analytical, problem-solving, and communication skills
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