Qualifications:
o 5+ years of expertise in creating interactive and visually appealing dashboards and reports using Power BI. Proficiency in designing and developing Power BI Paginated Reports.
o 3+ years of experience with data warehousing concepts and ETL processes.
o Experience in Power BI administration is a plus.
o Strong understanding of statistical concepts, machine learning algorithms (e.g., regression, classification, clustering), and data mining techniques.
o Proficiency in Python, SQL, and DAX. Experience with other programming languages (e.g., R) is a plus.
Responsibilities:
Power BI Development:
o Design and develop interactive and visually appealing Power BI dashboards and reports.
o Design and develop professional-grade Power BI Paginated Reports.
o Create DAX measures and calculations for complex data analysis.
o Integrate data from various sources into Power BI models.
o Optimize Power BI reports for performance and scalability.
o Develop and maintain data pipelines and ETL processes.
o Effectively communicate data insights to business stakeholders through presentations, reports, and visualizations.
o Collaborate with business users to understand their data needs and translate them into actionable insights.
o Provide data-driven recommendations to improve business processes and decision-making.
Data Analysis & Modeling:
o Collect, clean, and transform raw data from various sources (e.g., databases, APIs, cloud platforms) using SQL, Python, and other data manipulation tools.
o Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
o Develop and implement predictive models (e.g., regression, classification, clustering) using machine learning algorithms.
o Perform statistical analysis and data visualization to uncover meaningful insights.