
- Senior
- Ufficio in Pune
Key Responsibilities
- Lead and mentor a team of Power BI developers with diverse experience levels, fostering a culture of innovation and excellence within the Analytics Centre of Excellence.
- Architect and develop scalable dashboards using Power BI Desktop and Service, aligned with business strategies and designed to drive revenue-generating insights.
- Connect, import, and transform large datasets from various sources, ensuring high data integrity and readiness for advanced analytics.
- Optimize data models and DAX queries for performance, scalability, and usability across enterprise reporting environments.
- Collaborate with cross-functional teams to gather requirements and deliver tailored BI solutions that measure and maximize business value.
- Drive adoption of Microsoft Fabric components, including Data Factory, Lakehouse, and Real-Time Analytics, to build a robust reporting engine.
- Ensure data governance and privacy compliance, implementing row-level security (RLS) and aligning with regulatory standards.
- Produce intuitive KPIs and visualizations, translating complex data into actionable intelligence for strategic decision-making.
- Provide internal training and upskilling, enabling team members to leverage AI in analytics, including Generative AI tools and NLP automation.
- Handle ad-hoc reporting and data extraction, supporting research initiatives and custom analytics requests from stakeholders.
- Maintain and update client metadata, including location data, ensuring accuracy and consistency across reporting systems.
- Manage multiple reporting requests and deadlines, demonstrating strong organizational skills and prioritization.
- Collaborate with the IS team to ensure proper data availability and system readiness for accurate report development.
- Participate in a community of practice, sharing insights and innovations with other report writers, developers, and analysts.
- Support hybrid SDLC and Agile methodologies, ensuring timely delivery of BI projects with flexibility and iterative improvements.
- Stay current with BI trends, exploring various models and emerging technologies to enhance analytics capabilities.
- Conduct research for analytics innovation, identifying opportunities to integrate AI, automation, and predictive modelling into BI workflows.
Skills, Knowledge & Expertise
- Associate degree or equivalent work experience
- 8 to 10 years working with report writing PowerBI, MS-SQL, DAX, Azure, CI-CD, SSRS Reporting, ETL, Power Automate
- 8 to 10 years of hands-on experience with relational databases, data modelling, and ETL processes, including developing and maintaining SSRS reports for enterprise-level reporting.
- 8 to 10 years of experience designing scalable Power BI dashboards, optimizing DAX queries, and managing Power BI workspaces using Power Automate.
- Experience delivering AI-driven analytics solutions, leveraging Generative AI and Natural Language Processing (NLP) automation.
- Strong knowledge of Agile methodologies, with hands-on experience using Jira and Confluence for sprint planning, backlog management, and collaboration.
- High attention to detail with a proven ability to identify, isolate, and resolve data and reporting defects.
- Excellent verbal and written communication skills, with the ability to effectively interact with both technical and non-technical stakeholders.
- Demonstrated ability to lead cross-functional teams and collaborate across business units to drive data strategy and execution.
- Quick learner with a growth mindset, adaptable to evolving technologies and tools.
- PL-300: Microsoft Power BI Data Analyst certification is preferred.
- Additional relevant certifications such as Microsoft DP-600 (Fabric Analytics Engineer) are a strong plus.
- Domain knowledge in insurance analytics, including familiarity with NCCI (National Council on Compensation Insurance) data standards and reporting requirements.
- Must speak English
- At least 8 to 10 years of hands-on experience PowerBI, DAX, SQL, Power Query, Extensive Power BI knowledge (including Power Query, DAX and ML); or comparable experience in Tableau or PySpark
- SQL experience is strongly preferred; Python expertise would also be helpful.
- Good leader who can manage teams and work well in Agile projects