Salesforce
DataAnalyst,Tableau
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst, Tableau at Salesforce. Skills: Data Analysis, Tableau, SQL. Wrangle data using Salesforce, SQL, Snowflake, and Tableau. Discover patterns”
Industry & Context.
Problem Solving; Troubleshoot data issues; Develop creative solutions
What They're Looking For.
Must Have
English fluency, 2+ years of experience in business intelligence, analytics/reporting, data analysis, Hands-on experience with Data Modelling, Hands-on experience with Relational Databases, Hands-on experience with SQL, Hands-on experience with Tableau, Hands-on experience with Google Sheets/Excel, Hands-on experience with Python, Extract, manipulate and transform data, Translate complex technical results into clear, actionable insights, Cross-functional collaboration with teams and personas, Ability to quickly grasp technological and business concepts, Problem Solving: Proven ability to identify issues and develop creative solutions, Adaptability: Comfortable working both independently and as part of a collaborative team, Multi-tasking: Skilled at managing multiple priorities and tasks simultaneously, Resilience: Ability to maintain high performance in a fast-paced, high-pressure environment
Nice to Have
Gemini, Claude, NotebookLM, Github, APIs, Sagemaker, Snowflake, Cloud Computing, AI/ML initiatives, Sales/GTM knowledge, Consultative background, Bachelor’s degree (or equivalent) in related field
What You'll Do.
Wrangle data using Salesforce
Measure impact on business and key metrics
Create interactive and intuitive visualisations using Tableau
Develop deep understanding of enterprise data
Develop deep understanding of operational details of the
Automate manual reporting processes
Troubleshoot data issues/inconsistencies and bugs
Recommend enhancements to existing dashboards/reports
Make enhancements to existing dashboards/reports
Consult Professional Services sellers and sales leadership
Provide accurate data/information
Make recommendations for how to run the business
How You'll Work.
Team & Collaboration
Professional Services sellers; Sales leadership; Global Commercial Office (GCO); Cross-functional collaboration; Sellers; Sales leaders; Commercial officers; Sales enablement; Product teams; Data engineering teams
Communication Scope
Translate complex technical results into clear, actionable insights
Full Job Description
_To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts._ Job Category Data Job Details ****About Salesforce**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. **The CSG Professional Services Analytics team supports the Professional Services business** within the Customer Success Group (CSG). We are seeking a talented Data Analytics Analyst for the Professional Services Sales Analytics team. This individual will contribute to our efforts in **transforming complex data into clear and actionable insights** and **dashboards for our Professional Services sales team** and Global Commercial Office (GCO). This role would **support EMEA operations** but also work on **global initiatives** /projects. **Responsibilities** * **Assist in wrangling data using Salesforce, SQL, Snowflake, and Tableau** to discover patterns, correlate findings, and measure the impact on the business and key metrics * **Create interactive** and intuitive **visualisations using Tableau** * Develop a deep understanding of enterprise data and operational details of the business (e.g. f**orecasting, pipeline, bookings,** data quality) * Automate manual reporting processes and improve data quality * **Troubleshoot data issues** /inconsistencies and bugs, and recommend/make enhancements to existing dashboards/reports * Partner with and **consult Professional S
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