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Job Category
Sales
Job Details
About Salesforce
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
Role: Senior Specialist SE - Analytics
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 and Salesforce Analytics solutions help 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.
Required Qualifications:
- 2-10 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.
- Degree or equivalent proven experience required. Experience will be evaluated based on the core proficiencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).
- Fluency in English.
- Fluency in another European Language is well appreciated.
Preferred Qualifications:
- 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.
- Working knowledge of web technologies such as JavaScript, security protocols, application integration and embedding.
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Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
