Power BI Developer
Core
Analyze complex business data, uncover insights, and translate findings into actionable recommendations using Power BI.
Role type
Data Analyst (Business Intelligence)
Builds
Interactive Power BI dashboards and analytical reports
Domain
Business Intelligence / Data Analysis
Deliverable
dashboards & analysis
Required skills
Power BI, DAX, SQL, Power Query, Data Visualization, Root-cause analysis, KPI development, Exploratory data analysis (EDA), Data cleansing, Forecasting, Segmentation analysis
Preferred skills
None stated
Technologies
Power BI, DAX, SQL, Power Query
Responsibilities
Analyze large and complex datasets to identify trends, patterns, correlations, anomalies, and business opportunities. Translate business questions into analytical approaches, hypotheses, and measurable outcomes. Conduct exploratory data analysis (EDA) to understand business performance and identify key drivers. Perform root-cause analysis to investigate performance gaps, unexpected trends, and business issues. Develop and monitor KPIs, metrics, and performance indicators aligned with business objectives. Build interactive Power BI dashboards and analytical reports that communicate insights clearly and effectively. Create analytical models, measures, and calculations using DAX. Use SQL and Power Query to extract, transform, cleanse, and prepare data for analysis. Analyze historical and current data to identify trends and support forecasting and planning activities. Perform segmentation and comparative analysis to understand customer, product, operational, or financial performance. Validate data quality, investigate inconsistencies, and ensure analytical outputs are accurate and reliable. Interpret analytical results and translate them into clear business recommendations. Present findings to business leaders and stakeholders using compelling data stories and visualizations. Partner with cross-functional teams to understand business challenges and identify opportunities for process improvement. Automate recurring reports and analytical workflows to improve efficiency. Continuously improve dashboards, analytical methodologies, KPIs, and reporting processes based on stakeholder feedback. Maintain documentation of data sources, analytical methodologies, metrics, assumptions, and business definitions.