JOB SUMMARY This role partners closely with business stakeholders to understand strategic and operational needs, translate those needs into clear system and data requirements, and deliver scalable, user-focused CRM solutions. Passionate about the strategic use of data to drive business results. The ideal candidate thrives in a fast-paced, agile environment and brings a customer-centric mindset to every decision.
Key Responsibilities - Administer Salesforce using declarative tools. - Maintain Salesforce data hygiene, quality, and governance. - Contribute to large-scale Salesforce data hygiene initiatives. - Advocate and champion for Salesforce data management best practices. - Analyze large datasets, identifying issues and designing solutions using Salesforce features such as duplicate rules, matching rules, validation rules, and automation. - Partner with business and technology leadership to define data ownership, stewardship, and governance models. - Develop and implement Salesforce data hygiene metrics and standards. - Perform root cause analysis for data quality issues and recommend improvements to business processes. - Assess integrations and upstream/downstream impacts with a systems-thinking approach. - Export, cleanse, and re-import Salesforce data using SOQL, Salesforce Data Loader (or similar tools), and Microsoft Excel. - Partner with business and technology teams to analyze problems and design scalable, sustainable solutions. - Communicate analytical findings clearly and provide actionable, data-driven recommendations. - Create clear, thorough documentation, including solution designs, knowledge base articles, and step-by-step user guides. - Collaborate with business users, technology partners, and leadership. - Multitask in a fast-paced, agile environment. - Prioritize work based on business impact, urgency, and SLAs.
Required Qualifications - Bachelor’s or equivalent. - 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. - Hands-on experience administering Salesforce using declarative tools. - End-to-end ownership of Salesforce data hygiene, including quality, and governance. - Strong data analytics background with experience analyzing large datasets. - 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. - 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. - Strong understanding of relational database concepts and data modeling. - Experience working with large datasets, including structured and semi-structured data (e.g., JSON files). - Proficiency in Microsoft Excel for data analysis and validation. - Excellent written and verbal communication skills with a strong emphasis on active listening. - Ability to create clear, thorough documentation, including solution designs, knowledge base articles, and step-by-step user guides. - Comfortable collaborating with business users, technology partners, and leadership. - Strong ability to multitask in a fast-paced, agile environment. - Proven ability to prioritize work based on business impact, urgency, and SLAs. - Track record of delivering results while maintaining positive working relationships. - Demonstrated initiative, intellectual curiosity, and a continuous learning mindset.
Preferred Qualifications - Salesforce Expertise: Experience significantly contributing to large-scale Salesforce data hygiene initiatives. - Data Analytics & Data Management: Deep curiosity and capability to follow data flows and understand complex data relationships. Familiarity with enterprise data ecosystems and tools such as ETL processes, data lakes/warehouses, and analytics platforms (e.g., Power BI). - Technical Skills: Experience with Snowflake or similar cloud data platforms. - 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).