Essential Responsibilities and Accountabilities:
- Architect, design, develop, update, and optimize Power BI dashboards, reports, and scorecards to meet business requirements.
- Utilize Power BI's navigation features effectively to create compelling data-driven stories for users.
- Design, publish, and maintain Power BI data models with multiple interrelated tables, supporting visualization and analysis in Excel.
- Document solutions and collaborate with analysts to refine user stories.
- Develop calculations using DAX and work closely with analysts and product managers to understand and formulate requirements.
- Integrate various data sources with Power BI, including Snowflake, Azure, and SQL Server.
- Handle large datasets efficiently and process them into required formats.
- Implement row-level security and understand application security layers in Power BI.
- Responsible for design methodology and product documentation, including developing tabular and multidimensional models compliant with data warehouse standards.
Job Specifications:
Knowledge & Skills:
- Expertise in BI tools such as Power BI and Snowsight.
- Advanced knowledge of the Microsoft BI stack and strong data analysis skills.
- Proficiency in SQL and DAX, with scripting languages like R and Python considered a plus.
- Experience with Cloud platforms, particularly Azure, and Big Data platforms like Snowflake.
- Competent in developing engaging and effective data visualizations.
- In-depth understanding of the Power BI Service and its suite of products (e.g., Report Builder, Reporting Services).
- Knowledge of Cognos and SSAS is beneficial.
- Ability to communicate effectively with stakeholders at all levels, including executives, and provide advice and support.
- Track record of working in an Agile environment.
- Self-starter with the ability to work independently.
- Experience across all stages of the Software Development Life Cycle (SDLC).
- Preferred experience in the P&C Insurance domain or Financial Services industry.
- Familiarity with custom visuals, dynamic reporting, best practices in data modeling, row-level security, and Analyze in Excel.
- Experience with Power BI Admin functions.
