BI Developer

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.