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About the role
Analytics Engineer Power BI / SSRS / Azure Data Factory Location: Hyderabad, India Experience: 35 Years Position Summary SpinTheory.ai is seeking an Analytics Engineer to support and enhance enterprise BI, reporting, and analytics platforms. The role will maintain existing solutions built on SSRS, Power BI, , SSAS, and Azure Data Factory while helping advance the organizations self-service analytics and AI-enabled reporting capabilities. The ideal candidate combines strong production-support expertise with the ability to improve reporting performance, standardize reusable data assets, and deliver scalable, reliable analytics solutions for business stakeholders. Principal Responsibilities - Support and maintain BI and reporting solutions across Power BI, SSRS, SSIS, and SSAS. - Monitor, troubleshoot, and optimize ETL pipelines, scheduled jobs, and data-refresh processes. - Improve the performance, usability, reliability, and accuracy of dashboards and reports. - Provide day-to-day production support for analytics platforms, ensuring system availability, data accuracy, and adherence to service-level agreements. - Diagnose and resolve incidents involving report failures, refresh issues, data inconsistencies, performance problems, and user access. - Design and standardize reusable datasets, semantic models, and reporting assets to enable self-service analytics. - Develop and maintain data pipelines using Azure Data Factory and related Azure services. - Collaborate with business stakeholders to understand reporting requirements and deliver actionable insights. - Partner with data science teams to incorporate AI- and machine-learning-driven insights into analytics solutions. - Support data warehouse design, dimensional modelling, and analytics architecture improvements. - Balance the maintenance of current systems with continuous improvement and innovation. - Adapt to changing client priorities, schedules, and time zones. - Take on responsibilities beyond the defined role when required, demonstrating flexibility, ownership, and a startup mindset. Qualifications - Strong experience with Power BI, SSRS, SSIS, and SSAS. - Proficiency in SQL Server, including query optimization, performance tuning, and troubleshooting. - Hands-on experience with Azure Data Factory and Azure-based data integration solutions. - Experience with Synapse Analytics, data warehousing, dimensional modelling, and schema design. - Understanding of dashboard design, data visualization, semantic modelling, and reporting best practices. - Robust analytical, problem-solving, and incident-resolution skills. - Effective stakeholder communication and requirements-gathering capabilities. - Exposure to integrating AI or machine-learning outputs into reporting and analytics workflows is highly desirable. Minimum Requirements - Bachelors degree in Computer Science, Information Systems, Engineering, or a related discipline. - 35 years of experience in business intelligence, reporting, analytics engineering, or production support. - Strong technical foundation in Microsoft BI platforms and the Azure data ecosystem. - Ability to work effectively in a fast-paced, collaborative, and evolving environment. .
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