Responsibilities:

Data Analysis:

Analyze and interpret complex data using statistical methods and tools to uncover insights and trends

Data Extraction:

Utilize ETL/ELT methods and tools, such as SSIS, Azure Data Factory and Synapse, to extract, transform, and load data efficiently

Data Visualization:

Create visualizations and dashboards using Power BI to communicate data insights effectively

Data Cleaning:

Clean and preprocess data to ensure accuracy and completeness, ensuring high data quality

Data Modelling:

Build and test predictive models to forecast future trends and outcomes, providing actionable insights

Reporting:

Create comprehensive reports and presentations that summarize findings and provide clear recommendations

Collaboration:

Work collaboratively with other members of the data team and cross-functional departments to identify business problems and develop data-driven solutions

Programming:

Develop scripts and code in SQL to automate data analysis processes and streamline workflows

Requirements:

Experience:

Technical Skills:

Proficiency in Microsoft Azure, Power BI, and preferably Data Factory or at least SSIS
Exposure to and understanding of Microsoft Fabric is highly advantageous
Excellent communication skills, to build a positive relationship with the Client

Certifications: