Senior Software Engineer, Analytics
Role Overview
We are seeking a highly skilled and motivated Senior Software Engineer to lead our reporting development initiatives. The ideal candidate must have strong technical expertise in Microsoft-based reporting technologies and the ability to guide a team in delivering high-quality, data-driven solutions.
Key Responsibilities
Design, develop, and maintain enterprise-grade Power BI dashboards, paginated reports, SSRS reports, and semantic models to support enterprise reporting and analytics needs.
Work closely with product teams to gather reporting requirements and translate them into technical solutions
Optimize SQL queries and database performance for reporting efficiency
Lead and mentor a team of developers in report/dashboard development and best practices
Ensure high standards of code quality, performance, and scalability
Collaborate with cross-functional teams including QA, DevOps, and product management
Manage tasks, sprints, and deliverables using Jira
Maintain proper version control practices using Git and TFS
Stay updated with the latest Microsoft technologies and reporting tools
Required Skills & Qualifications
Strong hands-on experience in designing, developing, and maintaining Power BI dashboards, and paginated reports for enterprise reporting and analytics solutions.
Strong expertise in Microsoft SQL Server and SSRS, including complex SQL query development, stored procedures, performance tuning, report design, parameterized reporting, subscription, and report deployment.
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In-depth knowledge of Power BI semantic models, DirectQuery, Import mode, data modeling best practices, and report performance optimization strategies.
Solid expertise in data modeling, data transformation, and BI solution development, including dimensional modeling, advanced DAX development, Power Query (M), and query optimization techniques.
Experience implementing and managing security and governance controls, including Row-Level Security (RLS), Object-Level Security (OLS), workspace administration, sensitivity labels, and data endorsement practices.
Experience leveraging AI-powered analytics capabilities, including Microsoft Copilot, Q&A visuals, Smart Narratives, and other AI-assisted reporting features.
Strong analytical, problem-solving, troubleshooting, and performance tuning skills with the ability to identify and resolve complex technical issues.
Excellent communication, stakeholder engagement, mentoring, and technical leadership capabilities, with experience collaborating across business and technical teams.
Self-motivated, proactive, and results-oriented professional with strong ownership, collaboration skills, and adaptability to evolving technologies and business requirements.
Professional certifications such as PL-300 (Microsoft Power BI Data Analyst) and hands-on experience with Microsoft Fabric, including Lakehouse architecture and modern analytics capabilities, will be considered an added advantage.
