About the job
At Datashift, we cultivate a culture that emphasizes authenticity, excellence, and entrepreneurship. Our team is composed of dedicated consultants who are passionate about creating substantial impacts through data while ensuring a fun and human-centric atmosphere.
We are in search of a Lead Analytics Engineer who possesses a blend of robust technical skills and strategic vision. The ideal candidate will thrive on semantic modeling, modern analytics engineering, and the development of innovative analytical solutions. Your hands-on expertise, sense of ownership, and curiosity will play a vital role in enhancing our evolving GenBI vision.
Importance of This Role
This position is essential in advancing the GenBI initiative at Datashift , our strategy for fostering smarter analytics through semantic layers, natural language interfaces, and intelligent analytical systems.
You will take charge of complex projects, create semantic layers from scratch, and help refine our methodologies, standards, and best practices.
Your Responsibilities
Lead complex analytics engineering & GenBI projects
Develop semantic models: business-oriented conceptual layers that facilitate natural language queries and advanced analytics.
Convert business requirements into clear technical architectures, data models, and pipelines.
Choose the appropriate delivery strategy: POC, pilot, or roadmap implementation.
Provide strong technical direction
Drive POC initiatives and transform them into robust, scalable solutions.
Make informed technical choices, ensure quality, and establish direction.
Strike a balance between strategic thinking and hands-on engineering as necessary.
Support and Inspire the Team
Mentor colleagues and nurture a collaborative environment to boost team growth and innovation.
