Data & Analytics Solutions Engineer (Pre-Sales)

Mulesoft; Sydney; Vor Ort; AUD 120.000 - 180.000; Vollzeit

Zusammenfassung

Salesforce in Sydney is seeking a technically minded pre-sales expert to accelerate analytics adoption across ANZ. You will partner with Account Executives to win analytics opportunities, run discovery workshops, and deliver demos that prove business value using Tableau and CRM Analytics.

You will showcase AI-enabled architectures, data governance, and integrated data stacks, helping customers design scalable analytics solutions. A relevant degree and 3+ years in related roles are expected.

Qualifikationen

• 3+ years in technical pre-sales, consulting, customer success, analytics or data roles.
• Hands-on experience with Tableau, CRM Analytics or similar tools and data modelling.
• Knowledge of generative AI, including LLMs, prompt design and AI agents.
• Strong communication and sales instincts; ability to present to executives.

Aufgaben

• Win Analytics business with Sales by understanding customer goals and managing several engagements across ANZ.
• Lead discovery sessions, run workshops and deliver prototypes and customised demos.
• Showcase AI-ready architectures and how MCP servers connect AI to data and tools.
• Support bids, share knowledge with Solution Engineering, and represent Tableau at events.

Kenntnisse

Tableau

CRM Analytics

Power BI

Looker

Data modelling

ETL/ELT pipelines

AI fluency

Sales storytelling

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Tableau

CRM Analytics

Power BI

Looker

Snowflake

Databricks

BigQuery

Informatica

dbt

Jobbeschreibung

Salesforce in Sydney is seeking a technically minded pre-sales expert to accelerate analytics adoption across ANZ. You will partner with Account Executives to win analytics opportunities, run discovery workshops, and deliver demos that prove business value using Tableau and CRM Analytics.

You will showcase AI-enabled architectures, data governance, and integrated data stacks, helping customers design scalable analytics solutions. A relevant degree and 3+ years in related roles are expected.