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.
