You'll design and build high-performance experiences for creating and editing dashboards, as well as for authoring the data behind them, including SQL datasets, custom calculations, and semantic modeling.

Partner closely with design and product to translate complex analytical concepts into polished, intuitive, and efficient dashboard experiences.

Drive innovation in how Databricks users interact with data, enabling seamless and responsive exploration at scale.

Own frontend development for core dashboard workflows, with a focus on usability, performance, accessibility, and reliability.

Help shape the architecture, abstractions, and platform foundations that support a broad range of dashboarding and analytical use cases.

Collaborate with backend engineers and adjacent teams to define APIs, data models, and contracts that power interactive and scalable dashboard experiences.

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Managing integration of SAC with core SAP systems including SAP BW, S/4HANA, and HANA, ensuring seamless data connectivity and performance optimization.

Collaborating with business stakeholders to gather, analyse, and translate functional requirements into robust and scalable technical SAC solutions.

Navigating SAC design constraints and understanding connection types, widget behavior, and platform limitations to deliver optimized user experiences.

Contributing to the creation and maintenance of the SAC roadmap, defining architecture standards and governance frameworks to guide future development.

Developing and maintaining technical documentation, including implementation notes, configuration guides, and end-user manuals to support adoption and sustainability.

Providing post-go-live support, identifying and resolving issues, and implementing enhancements to improve performance and functionality.

Mentoring junior consultants, fostering a collaborative team environment, and driving knowledge sharing and best practices across the organization.

Working knowledge of SAP BW (a significant plus) to support back-end data modeling and data provisioning activities.

Over 5 years of experience in Business Intelligence.

Extensive experience with SAP Analytics Cloud (SAC), including hands-on expertise in creating SAC Stories and Planning Models, with a comprehensive understanding of SAC features and capabilities.

Strong proficiency in data modeling using Data Actions, Multi Actions, custom calculations, and SAC scripting (JavaScript) to support complex planning and reporting scenarios.

Demonstrated experience integrating SAC with SAP BW, SAP HANA, S/4HANA, or other enterprise data sources.

Solid knowledge of live vs. import data connections, including best practices around data wrangling and transformation within SAC.

Proven ability to translate business requirements into scalable, maintainable technical solutions, with a strong focus on performance and usability.

Excellent communication and stakeholder management skills, with the ability to work closely with business users and technical teams.

Nice to have working knowledge of SAP Business Warehouse (BW/4HANA), particularly in a data provisioning or modeling context.

Bachelor or Master’s degree, ideally in Computer Science or informatics.

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