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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Salesforce Tableau Analytics Specialist (Temporary) - **Company:** Cleaver Brooks - **Location:** Milwaukee, WI, United States - **Experience:** Expert - **Salary:** $39,520.0 - $58,240.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Information Engineering, Data Governance, Data Structures, Cloud Services, Standard Sql, Salesforce.Com, Tableau (Software), Advanced Reports, Generative AI, Data Analytics, Tools for Reporting, Virtual Agents - **Published:** September 11, 2026 - **Apply:** https://www.careerjet.com/job/usddbf322b92f7e87ba8fa46ff56eba341/eaa ## About the Role Salesforce * Strong experience with Reports & Dashboards, report types, cross-filters, and joined reports * Deep understanding of Sales Cloud, Service Cloud, and custom object relationships * Experience building metrics and calculations within Salesforce reporting Tableau Ecosystem * Proficiency with Tableau Cloud dashboard development * Hands-on experience with Tableau CRM (Next) semantic layer, calculations, metrics, and dashboards. * Experience using Tableau Prep for data blending, cleanup, and transformation Analytics & Data Engineering * Strong SQL or SAQL skills * Experience defining metrics and building reusable calculations * Ability to unify multiple data sources into coherent analytical structures * Experience with data quality monitoring and governance frameworks Preferred Experience * 5+ Years Experience utilizing Tableau or similar analytics tools. * Experience supporting Sales, Service, and Product teams * Familiarity with semantic modeling and AI-ready data structures ## Description We are seeking a Salesforce Tableau Analytics Specialist to support our analytics modernization efforts across Salesforce Reports/Dashboards, Data Cloud, Tableau CRM (Next), and Tableau Cloud. This contractor will build net-new dashboards, enhance and evolve existing ones, and help unify multiple Salesforce-ingested data sources into trusted, scalable analytical assets. The ideal candidate is a hybrid builder-architect: someone who can design metrics, build datasets, improve data quality, and support the development of a semantic model and governance layer that prepares the organization for AI-driven insights., Salesforce Reporting & Dashboards * Develop net-new Salesforce reports and Tableau dashboards that illuminate the full Sales Operations lifecycle, from Lead, to Opportunity, to Order, through Asset management * Improve, fix, and evolve existing reports and dashboards for accuracy, usability, and performance * Create advanced report types, joined reports, and optimized folder structures * Ensure reporting aligns with object relationships and business definitions across Leads, Opportunities, Accounts, Assets, Cases, and custom objects Tableau Cloud & Tableau CRM (Next) * Develop and enhance Tableau Cloud dashboards using curated data sources * Expand and mature Tableau CRM (Next) semantic layer, definitions, calculations, metrics, visuals, and dashboards. * Use Tableau Prep to clean, blend, and transform Salesforce-ingested data Data Quality, Governance & Metrics * Help implement core business metrics (win rate, pipeline health, asset lifecycle, rep activity, etc.) * Build data quality monitoring dashboards and alerts * Assist in establishing a data governance layer and data glossary * Structure datasets and metrics for AI readiness (predictive insights, automated recommendations) Advanced Analytics & Modeling * Combine multiple Salesforce-ingested data sources (ERP, CPQ, product data, usage data) into unified analytical views * Support semantic model development by defining calculations, transformations, and metric logic * Translate business questions into analytical outputs that drive decision-making Collaboration * Work directly with the Sales Technologies team to prioritize work, validate outputs, and iterate * Provide guidance on scalable analytics architecture and best practices * Optional: contribute to documentation or training materials if experienced, * Existing dashboards modernized and aligned to business definitions * Metrics defined, implemented, and monitored consistently * Data quality issues identified and remediated * Tableau CRM (Next) adoption expanded * Semantic model foundations established * Business empowered with reliable, scalable analytics, Overview: Allspring is promoting responsible integration of Generative and Agentic AI across the organization. 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