Salesforce Seismic Admin/Analyst

Position Overview:

• We are seeking a Salesforce / Seismic Administrator Data Analyst to partner with business and technology teams to design, support, and improve Salesforce CRM solutions.
• This role combines Salesforce administration, data analysis, data quality, and production support.
• The ideal candidate will be comfortable gathering business requirements, translating them into scalable solutions, maintaining Salesforce data integrity, and using data-driven analysis to identify and resolve business and system issues.
• The position will also support large-scale data hygiene initiatives, governance standards, duplicate prevention, validation rules, and ongoing improvements to Salesforce data quality.

Key Responsibilities:

• Administer and optimize Salesforce CRM using declarative tools.
• Gather, analyze, and document business and system requirements.
• Translate business requirements into scalable Salesforce solutions.
• Support large-scale Salesforce data hygiene and data quality initiatives.
• Develop and maintain governance standards, validation rules, and duplicate prevention processes.
• Analyze large datasets to identify trends, inconsistencies, and data-quality issues.
• Perform root cause analysis and recommend data-driven process improvements.
• Provide production support and troubleshoot Salesforce-related issues.
• Work with business and technology teams in an Agile environment.
• Maintain technical and process documentation.
• Work with relational databases, data models, ETL processes, and enterprise data environments.
• Use Salesforce tools such as SOQL and Data Loader as needed.

Required Qualifications:

• 3+ years of systems analysis experience.
• 2+ years of application or production support experience.
• Hands-on Salesforce administration experience using declarative tools.
• Strong knowledge of the Seismic platform.
• Significant experience contributing to large-scale Salesforce data hygiene initiatives.
• Strong data analytics experience working with large datasets.
• Strong understanding of relational databases and data modeling.
• Experience with SQL and Excel.
• Understanding of ETL processes and enterprise data ecosystems.
• Experience with cloud data platforms such as Snowflake.
• Strong analytical, communication, documentation, and organizational skills.