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C
Cleaver-Brooks
Salesforce Tableau Analytics Specialist (Temporary)
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What they do
A Tableau Developer develops and builds technology systems that support business intelligence and analytics using Tableau software. Sets up systems for collecting data on business operations, customers or sales and supports analyses done by business intelligence analysts and other analysts across the organization.
$108,518 / year median in Wisconsin
-2% projected decline
Job 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. Key Responsibilities 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