Job Title: Salesforce Business Data Analyst with ETL
Location: Remote
Employment Type: Full-time
Job Description:
Salesforce Business Data Analyst with ETL
Must Have Technical/Functional Skills
5+ years of Business Analyst experience, with approximately 3+ years of Salesforce-related experience preferred.
Strong understanding of Salesforce CRM concepts and business processes.
Experience with Sales Cloud and/or Service Cloud.
Advanced SQL experience; ability to build basic queries to profile and validate data.
Strong knowledge and experience in automation, regression, and end-to-end testing for ETL.
Experience with Python and PySpark.
Basic understanding of database platforms and utilities to enable translation of business requirements to technical requirements.
Basic understanding of ETL (extraction, transformation, and loading) disciplines.
Familiarity with Salesforce APIs, integrations, and data migration concepts is advantageous.
Experience with Jira, Confluence, Azure DevOps, Visio, Lucidchart, or similar tools.
Strong understanding of Agile/Scrum delivery methodologies.
Strong analytical and communication skills.
Self-motivation and drive to independently find answers prior to asking for help.
Strong organization and time management skills.
Commercial Lending knowledge preferred.
Roles & Responsibilities
Partner with business stakeholders, Product Owners, Salesforce Architects, Developers, QA teams, and Scrum teams to understand business objectives and requirements.
Conduct requirement-gathering workshops, stakeholder interviews, and process-discovery sessions.
Analyze as-is business processes and define optimized to-be processes using Salesforce capabilities.
Translate business requirements into functional requirements; create BRDs, epics, user stories, acceptance criteria, process flows, and functional specifications.
Good understanding of Salesforce objects, fields, workflows, validation rules, approval processes, reports, dashboards, roles, profiles, and permission sets.
Work within Agile/Scrum delivery, including backlog refinement, sprint planning, daily stand-ups, sprint reviews, and retrospectives.
Build SQL queries to conduct data profiling and create validation scripts using Python.
Perform other duties as assigned.
