professionals who work with customers to solve their business problems with Tableau's world leading analytics platform. We are looking for a Lead Solution Engineer to join our team of data rockstars. This individual will play a pivotal role in supporting our customers' and our sales teams' success by providing technical expertise in the field of data, business intelligence, predictive analytics, and artificial intelligence (AI).
Engage customers and collaborate with account teams to understand their needs with respect to how data and analytics can help the customer's business succeed and transform, and how customers can build a data culture.
Demonstrate how Tableau's platform helps the customer drive value through guided evaluations and building tailored platform/solution demonstrations.
Conduct workshops for customers to understand the Tableau platform and drive adoption across multiple groups and stakeholders.
Act as a trusted advisor to our customers, guiding them on best practices, and informing their data and analytics strategies.
Develop and sustain expert level knowledge of all aspects of the Tableau Platform, including data integration, data visualisation, analytics, governance, architecture, security, and scalability.
Lead technical responses to RFPs and RFIs.
Work closely with product management teams to stay updated on our latest developments and provide feedback from the field.
Create reusable assets that act as a force-multiplier for the extended teams.
Bachelors or Masters degree in engineering or related field
10-12 years of hands-on experience in business intelligence, data integration, analytics, data warehouses/lakes, or related technologies
Solid data and analytics problem solving skills
Strong background in at least one BI platform (Tableau, Power BI, Qlik, etc.)
Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences
Proven ability to build relationships with key stakeholders and customers
Familiarity with predictive analytics and AI, especially machine learning. Working knowledge of data platforms such as Snowflake, Databricks; ML platforms such as Azure ML, Amazon SageMaker, Google Vertex, etc; as well as R and/or Python
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