Data Analyst

Key Responsibilities:

• Collaborate with business stakeholders to understand reporting and analytics requirements and translate them into actionable insights and BI solutions.
• Develop and maintain dynamic and interactive dashboards and reports using BI tools such as Power BI Fabric.
• Develop, design, and maintain Power BI reports and dashboards to visualize data for business insights and decision-making.
• Strong understanding of SQL, including writing and troubleshooting queries, working with database views, and understanding stored procedures.
• Create and manage data models and ETL (ADF) processes within Power BI to ensure data accuracy and consistency.
• Work with large and complex datasets from various sources to ensure data accuracy, consistency, and integrity.
• Develop and optimize ETL (Extract, Transform, Load) processes to support reporting and analytics needs.
• Monitor and maintain BI platform performance, troubleshoot issues, and provide support to end users.
• Stay updated on industry best practices, emerging trends in BI, and data visualization techniques.
• Experience in Power Automate is a must; Databricks and Python experience is a plus.

Qualifications:

• 2 to 4 years of experience in data analysis, business intelligence, or related roles.
• Proficiency in SQL, data modeling, and data visualization tools (Power BI).
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
• Knowledge working with ETL (ADF) processes and data warehousing concepts.
• Knowledge of statistical analysis and predictive modeling techniques is a plus.
• Excellent communication and presentation skills with the ability to communicate complex data insights to non-technical stakeholders.

Preferred Skills:

• Experience with cloud-based BI platforms and services (e.g., Azure, Databricks, Snowflake).
• Relevant certifications in business intelligence, data analysis, or related fields.
• Familiarity with Scrum methodologies.