Business Intelligence Developer at CuraScript SD transforming complex data into trusted insights. Collaborating with teams to improve efficiency and reduce costs in healthcare services.
Responsibilities
Design and deliver scalable analytics and reporting solutions that shorten time to insight, reduce manual effort, and support confident decision-making across the business.
Partner closely with business leaders, data management, and technology teams to define requirements, align on metrics, and ensure analytics solutions meet real-world needs.
Integrate SAP and non-SAP data sources to enable self-service reporting, advanced analytics use cases, and future data platform initiatives.
Apply strong data quality, validation, and governance practices to ensure outputs are accurate, consistent, auditable, and decision-ready, especially for pharma-facing and operational reporting.
Identify and implement automation opportunities across recurring reporting, data preparation, and validation to improve reliability and efficiency.
Provide thought leadership on data modeling approaches, metric definitions, and analytical standards to promote consistency across teams.
Act as a trusted analytics advisor by translating complex data and technical concepts into clear insights, recommendations, and stories that drive action.
Navigate SAP S/4HANA and Fiori environments to locate data, document functional requirements, and collaborate with IT through clear design documentation and Solution Manager tickets.
Requirements
High school diploma or GED required; associate or bachelor’s degree preferred.
Minimum of 5 years of experience in data analytics and enterprise reporting.
Minimum of 5 years of hands-on experience developing reports using SAP BusinessObjects and Web Intelligence.
Proven experience working with SAP data, including the ability to navigate SAP S/4HANA and Fiori environments.
Experience working with enterprise databases such as DB2.
Strong understanding of data quality, governance, and validation practices in regulated or operational environments.
Ability to independently take analytics initiatives from intake through development, testing, validation, and production deployment.
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