Data Analyst (Power BI & Azure Databricks)

Overview

We are seeking a motivated and detail-oriented Data Analyst specialized in Business Intelligence tools (preferably Power BI) and Azure Databricks. The ideal candidate will play a key role in data quality monitoring, data analysis, dashboard creation, and maintenance.

Key Responsibilities

• Data Visualization: Create visually appealing and interactive dashboards (e.g., Power BI) that provide actionable insights.
• Dashboard Maintenance: Maintain and continuously enhance existing dashboards that incorporate business and platform metrics.
• Data Integration: Utilize Azure Databricks for data integration, transformation, and analysis to support business and platform needs.
• Data Analysis: Collect, analyze, and interpret data to support business decisions and identify trends, patterns, anomalies, and insights.
• Data Quality Monitoring: Perform thorough monitoring of data to ensure data completeness, accuracy, and integrity. Track data pipelines to identify data quality issues and downstream impacts.
• Collaboration: Collaborate with cross-functional teams including data engineers, data scientists, business analysts, and IT to ensure data accuracy and availability.
• Documentation: Document processes, methodologies, and dashboard functionalities for future reference and knowledge sharing.

Qualifications

Education

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.

Technical Skills

• Experience with Azure Databricks for statistical analysis, reporting, data integration, and analysis.
• Proficiency in Power BI, including DAX, Power Query, and data visualization techniques.
• Familiarity with Tableau and the ability to understand and translate Tableau functionalities into Power BI is a plus.
• Experience visualizing dashboards through web applications is a plus.

Analytical Skills

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Communication Skills

• Excellent verbal and written communication skills.
• Ability to present complex information in a clear and concise manner.

Problem-Solving Skills

• Strong problem-solving skills and a proactive approach to addressing issues and challenges.

Experience

• 3–5 years of experience in data analysis or a related field.