Data Analyst
Job Description & How to Apply Below
Contract Duration: to with possibility of extension
Responsibilities:- Provide functional support for Salesforce Financial Services Cloud (FSC), including data structures, objects, workflows, and user support.
- Investigate and resolve Salesforce data quality and process issues, collaborating with business and technical teams to ensure data accuracy and efficiency.
- Deliver training to cross-functional teams on creating and managing Salesforce reports and dashboards.
- Analyze, document, and translate data requirements into detailed specifications, including source to target mappings, transformation rules, and data quality checks.
- Perform detailed data analysis to troubleshoot issues and support data pipeline processes.
- Support data migration activities, including documentation of cleansing rules and validation of end to end test results.
- Gather, analyze, and document business requirements; translate them into functional and technical specifications.
- Develop user stories, process flows, and functional specifications for data and technology initiatives.
- Conduct gap analysis, identify risks, and propose solutions for complex data and business problems.
- Support User Acceptance Testing (UAT).
- Act as a liaison between business stakeholders, IT, and data engineering to ensure alignment and clarity.
- Build and optimize Salesforce reports and dashboards. Investigate and resolve Salesforce data and process issues with business and technical teams.
Skills:
- 5 to 8 years of experience in data analysis and data modeling (documentation skills for both business and technical requirements)
- Hands‑on experience with data modeling, DAX, dashboards, reporting
- 3+ years of experience with Salesforce FSC, especially reporting and data model understanding.
- Knowledge of data warehousing, ETL, data pipelines, and metadata management
Skills:
- Experience in Wealth Management, Capital Markets, or Financial Services
- Bilingual in Spanish
- PowerBI
Bachelor’s degree in Computer Science, Information Systems, Business, Engineering, or equivalent.
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