Salesforce/Seismic Administrator Data Analyst

Responsibilities

• Administer Salesforce using declarative tools and manage configuration changes.
• Lead and contribute to Salesforce data hygiene initiatives, governance, and quality improvements.
• Champion Salesforce data management best practices including duplicate, matching, and validation rules.
• Apply Seismic platform knowledge to support sales processes and content delivery.
• Leverage LiveDocs to automate personalized document generation using templates, rules, and CRM data.
• Analyze large datasets to produce insights and data-driven recommendations.
• Perform requirements definition, data analysis, and data mapping with business and technology teams.
• Conduct root cause analysis for data quality issues and recommend process or systems changes.
• Assess integrations and upstream/downstream impacts with a systems-thinking approach.
• Export, cleanse, and re-import Salesforce data using SOQL, Data Loader, and Excel.
• Collaborate with stakeholders to document solution designs, knowledge articles, and user guides.

Requirements

• 2+ years of application or production support experience.
• 3+ years applying systems analysis methodologies including requirements, data analysis, and mapping.
• Hands-on Salesforce administration experience with declarative tools.
• Prominent experience driving large-scale Salesforce data hygiene efforts.
• Seismic platform knowledge and understanding of LiveDocs.
• CRM and sales process knowledge, including lead-to-opportunity, account hierarchies, pipeline stages, and opportunity data structures.
• Strong data analytics background working with large structured and semi-structured datasets.
• Data governance experience defining ownership, stewardship, and governance models.
• Experience with data quality controls using Salesforce rules and automation.
• Proficiency with Excel, including PivotTables, conditional formatting, and lookup functions.
• Understanding of relational databases, data modeling, APIs, and integrations.
• Experience with Snowflake or similar cloud data platforms and analytics tools such as Power BI.
• Strong written and verbal communication and active listening skills.
• Ability to multitask and prioritize in a fast-paced, agile environment and meet SLAs.