Salesforce/Seismic Administrator Data Analyst

• Bachelor’s or equivalent.
• Salesforce.com Administrator certification desired.
• 2 years of application or production support experience.
• 3 years of relevant experience applying systems analysis methodologies, including requirements definition, data analysis, and data mapping
• Proven ability to partner with business and technology teams to analyze problems and design scalable, sustainable solutions.
• Strong passion for leveraging data strategically to drive business outcomes

Salesforce Expertise

• Hands-on experience administering Salesforce using declarative tools.
• End-to-end ownership of Salesforce data hygiene, including quality, and governance.
• Experience significantly contributing to large-scale Salesforce data hygiene initiatives.
• Advocate and champion for Salesforce data management best practices.

Seismic Expertise

• Seismic Platform knowledge.
• CRM & Sales process knowledge, such as lead-to-opportunity, account hierarchies, pipeline stages and opportunity data structure.
• LiveDoc understanding

Data Analytics & Data Management

• Strong data analytics background with experience analyzing large datasets.
• Deep curiosity and capability to follow data flows and understand complex data relationships.
• Ability to communicate analytical findings clearly and provide actionable, data-driven recommendations.
• Data quality expertise, including identifying issues and designing solutions using Salesforce features such as duplicate rules, matching rules, validation rules, and automation.
• Data governance experience, partnering with business and technology leadership to define data ownership, stewardship, and governance models.
• Development and implementation of Salesforce data hygiene metrics and standards.
• Root cause analysis skills to identify behavioral, process, system, or integration drivers of poor data quality and recommend improvements to business processes.
• Systems-thinking approach to assess integrations and upstream/downstream impacts.
• Familiarity with enterprise data ecosystems and tools such as ETL processes, data lakes/warehouses, and analytics platforms (e.g., Power BI).
• Experience exporting, cleansing, and re-importing Salesforce data using SOQL, Salesforce Data Loader (or similar tools), and Microsoft Excel (e.g., PivotTables, Conditional Formatting, VLOOKUP).
• API & Integration understanding.

Technical Skills

• Strong understanding of relational database concepts and data modeling.
• Experience with Snowflake or similar cloud data platforms.
• Experience working with large datasets, including structured and semi-structured data (e.g., JSON files).
• Proficiency in Microsoft Excel for data analysis and validation.