[Remote] Salesforce Data Cloud Segmentation Analyst ** W2 Only (No C2C / No Visa)

Note: The job is a remote job and is open to candidates in USA. Amerit Consulting is a fast-growing staffing and consulting firm seeking a Salesforce Data Cloud Segmentation Analyst. The role involves designing, building, and managing audience segments in Salesforce Data Cloud, translating business requirements into segment definitions, and collaborating with various teams to deliver high-quality audience data.

Responsibilities

• Design, build, and manage audience segments in Salesforce Data Cloud for members, brokers, employers, prospects, and other target personas
• Create identity-resolved audiences, computed traits, calculated insights, and predictive score-based segments
• Translate business requirements into scalable and reusable segment definitions aligned with the unified data model and compliance requirements
• Develop complex segmentation logic using multi-rule, cross-object criteria including eligibility, line of business, care program enrollment, engagement activity, care gaps, pharmacy claims, and other member attributes
• Activate audience segments across Salesforce Marketing Cloud Engagement (email, SMS, push) and Marketing Cloud Personalization (web and mobile experiences)
• Create and maintain reusable common audience segments to support rapid campaign execution and reduce build timelines
• Build campaign-specific segments supporting care management, complex care, Medi-Cal redetermination, diabetes management, member onboarding, and other business initiatives
• Establish and enforce segmentation governance standards, naming conventions, audience taxonomy, and lifecycle management processes
• Manage segment development, review, QA, deployment, and production promotion through established change management processes
• Monitor and optimize Salesforce Data Cloud credit consumption by reviewing segment complexity and eliminating duplicate or redundant audiences
• Govern production access and ensure adherence to segmentation controls and audit requirements
• Manage the end-to-end segmentation intake process including prioritization, development, testing, and activation
• Partner with campaign operations, business systems analysts, and engineering teams to deliver high-quality audiences on schedule
• Participate in JIRA-based intake, backlog management, sprint planning, and weekly project reviews
• Analyze data availability within Salesforce Data Cloud and collaborate with data engineering teams to address data gaps and onboard new data sources
• Perform data analysis and validate segmentation logic against complex unified data models and multiple source systems
• Develop and maintain calculated insights, derived attributes, propensity models, and predictive metrics used for audience targeting
• Write, troubleshoot, and optimize SQL queries and segmentation logic to ensure audience accuracy and performance
• Document audience definitions, business rules, eligibility criteria, data mappings, and segmentation requirements using JIRA and Confluence
• Collaborate with Product Managers, Marketing Operations, Digital teams, Clinical teams, and CRM stakeholders to support campaign objectives and activation strategies
• Coordinate with platform administrators, developers, architects, and data engineers on environment management, deployments, permissions, and data integration requirements
• Support analytics, campaign attribution, reporting, and Customer Journey Analytics (CJA) initiatives
• Create and maintain technical documentation, operational procedures, reusable segmentation frameworks, and best-practice playbooks
• Educate business stakeholders on Salesforce Data Cloud capabilities, audience creation processes, and self-service reporting access
• Serve as the Salesforce Data Cloud Segmentation Subject Matter Expert (SME), providing guidance on audience design, feasibility, complexity, and implementation effort
• Perform audience QA and validation, including count verification, logic testing, data freshness checks, and downstream activation validation
• Monitor segment performance, refresh schedules, and audience delivery across activation channels
• Support SDLC processes and environment promotion through Development, QA, Staging, and Production environments
• Proactively identify and mitigate risks related to audience complexity, data quality, duplicate segments, platform performance, and credit utilization

Skills

• Bachelor's degree in Data Analytics, Information Systems, Computer Science, Marketing Analytics, or a related quantitative field
• Equivalent professional experience (4+ years) in Salesforce Data Cloud (CDP) and/or enterprise data platform segmentation may be considered in lieu of a degree
• Salesforce Data Cloud Accredited Professional certification required, or certification must be obtained within 90 days of employment
• Hands-on experience with Salesforce Data Cloud (CDP) or a comparable enterprise Customer Data Platform (CDP) is required
• Strong experience in data modeling, audience segmentation, and customer data platforms; candidates with solely Marketing Operations or campaign execution backgrounds without segmentation expertise will not be considered
• Must possess strong SQL skills, including the ability to write, read, debug, and troubleshoot queries; candidates limited to drag-and-drop or GUI-based tools without query-level data analysis experience will not be considered
• 3–5+ years of experience in Data Analytics, Data Strategy, Data Segmentation, or related disciplines
• Demonstrated ability to design, build, and validate audience segments based on complex business requirements and data models
• Experience with analytics and reporting tools such as Tableau, Adobe Journey Optimizer, Adobe Analytics, Google Analytics, or similar technologies
• Salesforce Marketing Cloud Email Specialist or Administrator certification (preferred, not hard requirement if strong CDP experience exists)
• Experience with Salesforce Data Cloud, Salesforce Marketing Cloud or Snowflake

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