Key Responsibilities Power BI Development • • Design, develop, and maintain Power BI reports, dashboards, and visualizations based on business and analytical requirements. • Transform business requirements into meaningful and user-friendly BI solutions. • Develop appropriate measures, calculations, filters, and visualizations to support business analysis. • Ensure Power BI reports provide accurate, relevant, and actionable insights. • Work with stakeholders to understand reporting requirements and refine dashboards based on feedback. SQL & Databricks Analytics • • Develop complex SQL queries to extract, transform, analyze, and validate business data. • Work with Databricks SQL to query and analyze data stored within a lakehouse environment. • Develop queries against large datasets while maintaining accuracy and performance. • Validate data used in Power BI reports and analytical outputs. • Collaborate with Data Engineers to understand underlying data structures and resolve data-quality or data-availability issues. Data Analysis & Insights • • Analyze business and operational data to identify trends, patterns, anomalies, and meaningful insights. • Conduct exploratory analysis to answer business questions and support decision-making. • Translate analytical results into clear conclusions and recommendations. • Prepare analytical write-ups that explain findings in business-friendly, non-technical language. • Present data-driven findings to stakeholders who may not have a technical or data background. • Ensure analytical outputs clearly communicate the business relevance and implications of findings. Engineering & Delivery Metrics Analysis • • Analyze engineering and software delivery data to identify trends and opportunities for improvement. • Develop reporting and analytical views around engineering productivity and delivery performance. • Support analysis of development and delivery metrics across teams and projects. • Work with engineering stakeholders to understand the context behind metrics and translate findings into actionable insights. Stakeholder Collaboration • • Collaborate with business, engineering, product, delivery, and data teams. • Gather analytical and reporting requirements from stakeholders. • Explain data findings and trends clearly to both technical and non-technical audiences. • Support stakeholders in interpreting dashboards and analytical outputs. • Document analytical approaches, findings, assumptions, and recommendations. Required Skills & Experience • • Strong hands-on experience as a BI Developer, Analytics Developer, or Data/BI Analyst. • Strong experience developing Power BI reports and dashboards. • Strong proficiency in SQL for data analysis and reporting. • Hands-on experience with Databricks SQL. • Experience querying data within a lakehouse environment. • Ability to analyze large datasets and derive meaningful business insights. • Strong analytical and problem-solving skills. • Experience validating data and investigating discrepancies between source data and BI outputs. • Strong written communication skills with the ability to create analytical write-ups for non-technical audiences. • Ability to translate technical data analysis into clear business findings and recommendations. • Strong communication and stakeholder-management skills. Strongly Preferred Skills • • Experience analyzing engineering productivity or software delivery metrics. • Familiarity with DORA metrics/frameworks or similar engineering performance frameworks. • Experience analyzing metrics such as deployment frequency, lead time, delivery performance, change-related outcomes, and engineering workflow trends. • Hands-on experience using Databricks notebooks for exploratory data analysis. • Experience using Python or similar tools for exploratory analysis would be an added advantage. • Experience working with engineering, DevOps, or software delivery teams. • Exposure to Software Engineering Intelligence (SEI) or engineering productivity analytics platforms.