Power BI Developer

Key Responsibilities:

Data Analysis:

• Analyze large datasets to identify trends, patterns, and anomalies.
• Utilize statistical methods and data visualization techniques to present insights effectively.
• Establish data analysis frameworks and best practices for the team
• Mentor junior analysts in statistical methodologies and analytical approaches
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.

Power BI Reporting:

• Architect and oversee enterprise-level Power BI solutions
• Develop and maintain interactive and visually appealing dashboards using Power BI.
• Understand how to structure and model data effectively using Power BI's data modeling features.
• Use Power Query Editor to transform and clean data before importing it into Power BI
• Create relationships between tables and define hierarchies for optimal data representation
• Master DAX, a formula language used in Power BI for creating custom calculations and aggregations.
• Write complex DAX expressions for measures, calculated columns, and calculated tables
• Incorporate advanced analytics features, including forecasting, clustering, and trend analysis
• Transform raw data into meaningful visualizations for business stakeholders.
• Provide training and support to end-users on Power BI functionalities.

Database Management:

• Design and maintain databases to ensure data integrity and availability.
• Optimize database performance and troubleshoot issues as they arise.
• Collaborate with IT teams to implement data security best practices.

Data Quality Assurance:

• Implement data quality checks to ensure accuracy and reliability of data.
• Identify and resolve data quality issues in a timely manner.

Qualifications:

• Bachelor's degree in engineering or science.
• 5-6 years of experience in a data analyst role.
• Advanced proficiency in Power BI for creating interactive dashboards.
• Good Knowledge of Microsoft Excel
• Proficient in SQL for data extraction and manipulation.
• Excellent analytical and problem-solving skills.
• Attention to detail, must be a quick learner with problem-solving aptitude
• Strong communication and presentation skills.
• Ability to work collaboratively in a team environment.

Preferred Skills:

• Programming skills in languages like Python.
• Experience with data warehousing and ETL processes.
• Knowledge of industry-specific data regulations and compliance.
• Advanced statistical analysis skills.