Hologic is looking to transform data into actionable insights that drive strategic decision-making across the organization by designing, developing, and optimizing enterprise-grade analytics solutions and dashboards.
Requirements
- Strong understanding of Power BI architecture, including data modeling, DAX, Power Query (M), and visualization best practices.
- Proficiency in SQL for data extraction, transformation, and performance optimization.
- Knowledge of data warehousing concepts, ETL processes, and dimensional modeling (star and snowflake schemas).
- Hands-on experience implementing Power BI governance and security models.
- Familiarity with Microsoft Power Platform (Power Apps, Power Automate) and integration with Power BI.
- Understanding of Agile methodologies and DevOps practices for BI development.
- PL-300 (Microsoft Power BI Data Analyst) certification or equivalent is required.
Responsibilities
- Design, develop, and optimize interactive dashboards and enterprise BI solutions using Power BI.
- Translate complex business requirements into scalable, maintainable, and user-friendly BI solutions.
- Integrate data from diverse sources, including cloud and on-premise data warehouses (Azure Synapse, Snowflake, Databricks, AWS Redshift).
- Apply advanced data modeling techniques, including star/snowflake schemas and dimensional modeling.
- Implement Power BI security models, including Row-Level Security (RLS), workspace governance, and data privacy standards.
- Support and mentor business users in self-service analytics, fostering adoption of best practices.
- Contribute to Agile development cycles and DevOps practices, including version control, deployment pipelines, and CI/CD.
Other
- Collaborate with stakeholders across the business and IT to ensure solutions meet strategic and operational needs.
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
- Professional certifications in Azure Data or related BI/cloud platforms.
- Experience supporting self-service BI adoption and citizen developer communities.
- Familiarity with modern BI trends such as data democratization and data mesh.
