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, Python experience is a plus Qualifications: 2 to 4 years of experience in data analysis, business intelligence, or related roles.

Proficiency in SQL, data modelling, 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 modelling 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.