BI Developer

Keka Inc.; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Keka Inc. is seeking a BI Analytics Developer to transform business requirements into actionable insights.

You will design, develop, and maintain Power BI reports and dashboards, implement SQL-driven data queries, and validate data in a lakehouse environment to drive decision-making. You will collaborate with stakeholders across engineering, product, and delivery to refine dashboards, analyze engineering delivery metrics, and communicate findings in business-friendly language for non-technical

Qualifications

• 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.
• Strong written communication skills for non-technical audiences.

Responsibilities

• 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 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.
• 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.
• Analyze business and operational data to identify trends, patterns, anomalies, and meaningful insights.
• Present data-driven findings to stakeholders who may not have a technical or data background.
• Collaborate with Data Engineers to understand underlying data structures and resolve data-quality issues.
• Analyze engineering and software delivery data to identify trends and opportunities for improvement.

Skills

BI Developer

SQL

Power BI

Databricks SQL

Lakehouse

Data analysis

Communication

Stakeholder management

Tools

Databricks notebooks

Databricks SQL

Job description

• 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.