Salesforce Tableau Analytics Specialist (Temporary)
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Role details
Tech stack
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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., 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. We are seeking an AI Enablement Specialist, reporting to the Head o…
- 1 month ago
Requirements
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
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