The Role
Lead enterprise reporting development using Power BI, SSRS, paginated reports, semantic models, SQL, DAX, and Power Query. Optimize queries and reporting performance, implement governance and security controls, collaborate with product, QA, DevOps, and stakeholders, and mentor developers. Manage sprint deliverables, version control, and report deployment while evaluating Microsoft Fabric, Lakehouse architecture, and AI-powered analytics capabilities.
Summary Generated by Built In
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.
- 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.
Skills Required
- Strong hands-on experience 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 queries, stored procedures, performance tuning, report design, parameterized reporting, subscriptions, and deployment.
- In-depth knowledge of Power BI semantic models, DirectQuery, Import mode, data modeling, and report performance optimization.
- Expertise in data modeling, data transformation, dimensional modeling, advanced DAX, Power Query M, and query optimization.
- Experience implementing and managing Row-Level Security, Object-Level Security, workspace administration, sensitivity labels, and data endorsement practices.
- Experience with AI-powered analytics capabilities, including Microsoft Copilot, Q&A visuals, Smart Narratives, and AI-assisted reporting features.
- Strong analytical, problem-solving, troubleshooting, and performance tuning skills.
- Excellent communication, stakeholder engagement, mentoring, and technical leadership capabilities.
- Professional certification such as PL-300 and hands-on Microsoft Fabric experience, including Lakehouse architecture.
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The Company
What We Do
Riskonnect is the leading integrated risk management software solution provider. Our technology empowers organizations with the ability to anticipate, manage, and respond in real-time to strategic, operational, and digital risks across the extended enterprise. More than 900 customers across six continents use our unique risk-correlation technology to gain previously unattainable insights that deliver better business outcomes. Riskonnect has more than 500 risk management experts in the Americas, Europe, and Asia. To learn more, visit www.riskonnect.com.
