HonorVet Technologies (
SDVOSB) is a certified veteran-owned staffing and workforce solutions company recognized for its industry certifications, commitment to quality talent acquisition, and excellence in delivering IT, healthcare, federal, state, and SLED (State, Local, and Education) staffing services, helping organizations build reliable, compliant, and high-performing teams across mission-critical sectors.
Job Title: Quality Data AnalyticsDuration: 3 MonthsLocation: San Clemente, CA Project Overview:This project focuses on enhancing and stabilizing the automated Tableau workflows used to support post-market complaint and adverse event trending. These workflows integrate data from multiple systems (e.g., CATSWeb, Veeva Safety, Oracle) into a validated analytics platform for data preparation, analysis, and reporting.
The current Tableau automation has significantly improved efficiency by replacing manual, spreadsheet-based processes, but ongoing updates and evolving business requirements require continued development.
The temporary resource will play a key role in implementing these updates, improving the robustness of the Tableau workflows, and preparing the system for eventual transition into the company''s Google Cloud Platform (Google Cloud Platform) data environment.
Key Responsibilities:- Enhance Tableau Data Workflows
- Update and refine Tableau Prep flows and dashboards to incorporate new data sources, metrics, and reporting requirements
- Improve data transformations, logic, and integration across multiple source systems
- Maintain and Optimize Automation
- Ensure existing Tableau workflows continue to run reliably and produce consistent outputs
- Troubleshoot issues related to data discrepancies, broken flows, or incomplete outputs
- Support Complaint Trending Deliverables
- Assist in generating monthly complaint and adverse event trending outputs, including dashboards, slides, and supporting analysis
- Ensure outputs align with quality procedures and reporting expectations
- Improve Data Quality and Consistency
- Identify and resolve inconsistencies between source data and Tableau outputs
- Help standardize logic and reduce manual intervention in data preparation
- Document and Prepare for Handoff
- Document Tableau workflows, logic, and dependencies to support knowledge transfer
- Organize Tableau processes to enable seamless transition to a future full-time hire
- Support Long-Term Transition to Google Cloud Platform
- Structure Tableau workflows in a way that facilitates replication in the company''s cloud-based data environment
- Provide input on how existing logic and data transformations can be translated into scalable data pipelines
Expected Outcomes:- Improved reliability and completeness of Tableau-based complaint trending workflows
- Reduced reliance on manual Excel-based data preparation
- Increased alignment of outputs with evolving stakeholder and SOP requirements
- Well-documented Tableau processes ready for transition to Google Cloud Platform
- Continuity of automated reporting during the transition period to a full-time hire
Impact to the Organization:This role directly supports a critical quality process by:- Maintaining the automation that replaced historically manual workflows
- Ensuring accurate and compliant reporting of complaint and adverse event data
- Enabling continued progress toward a scalable, fully automated cloud-based analytics platform
- Support and enhance Tableau-based automation for complaint trending, ensuring reliable reporting and enabling transition to a scalable cloud-based data platform.
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