Specialist Solution Engineer

Salesforce, Inc..; London; On-site; GBP 45,000 - 70,000; Full time

Job summary

A leading company in data analytics is seeking a Solution Engineer to join their Tableau Solution Engineering team. The role involves engaging with customers to provide technical expertise in data, business intelligence, and predictive analytics, ensuring their success with Tableau's platform. Candidates should have strong problem-solving skills and the ability to communicate complex concepts effectively. This position offers an exciting opportunity to work with innovative technologies and drive customer transformation.

Qualifications

• 2+ years of experience in business intelligence, data integration, or analytics.
• Solid problem-solving skills in data and analytics.
• Ability to explain technical concepts to non-technical audiences.

Responsibilities

• Engage customers to understand their data needs and drive adoption.
• Demonstrate how Tableau's platform adds value to customers.
• Lead technical evaluations and responses to RFPs.

Skills

Data and analytics problem-solving

Communication

Presentation skills

Education

Degree or equivalent proven experience

Tools

Tableau

Power BI

Snowflake

Databricks

Azure ML

Amazon SageMaker

Google Vertex

R

Python

Job description

Job Description

This is an opportunity to work with Salesforce’s Tableau Solution Engineering team. The team is made up of data and analytics professionals who work with customers to solve their business problems with Tableau’s world-leading analytics platform.
We are looking for a 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).

Responsibilities:

• 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, artificial intelligence,, governance, architecture, security, and scalability.

• Lead technical evaluations and 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.

Required Qualifications:

• 2+ years of hands-on experience in business intelligence, data integration, analytics, data warehouses/lakes, or related technologies

• Solid data and analytics problem-solving skills

• 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

Preferred Qualifications:

• Background in at least one BI platform (Tableau, Power BI, Qlik, etc.)

• Familiarity with predictive analytics and AI, e.g. machine learning

• Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, Amazon SageMaker, Google Vertex, etc; as well as R and/or Python

• Familiarity with web technologies such as JavaScript, security protocols, application integration, and embedding

• Degree or equivalent proven experience. Experience will be evaluated based on the core proficiencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).