Design, develop, and maintain BI dashboards using Powerbi and Dax
Perform advanced data modeling, cleansing, and transformation for accurate reporting
Experience with snowflake and data bricks
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
Proficiency in SQL for data querying and manipulation
Excellent analytical, problem-solving, and communication skills
Not Met Priorities
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Requirements
Design, develop, and maintain BI dashboards using Powerbi and Dax
Experience with snowflake and data bricks
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
Proficiency in SQL for data querying and manipulation
Excellent analytical, problem-solving, and communication skills
One of our staffing partners is hiring for its financial client a data analyst with experience with snowflake Experience of 2-3 years minimum. Not looking for senior programmers due to low pay Salary offered $55-70k per year Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the qualified applicants. Design, develop, and maintain BI dashboards using Powerbi and Dax Perform advanced data modeling, cleansing, and transformation for accurate reporting Experience with snowflake and data bricks 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 Proficiency in SQL for data querying and manipulation Excellent analytical, problem-solving, and communication skills