Role Description A Data Technician will support a delivery team to enter, report, and document data under the guidance of the team lead. This position is part of a team requiring daily interactions in a collaborative environment. 100% Remote Monday - Friday 800AM EST to 430PM EST. Qualifications - Experience with databases, specifically Oracle. - Experience with SQL. - Ability to manage time and prioritization of tasks at a high level. - Ability to communicate effectively with managers and customers. - Experience working within a team-oriented, collaborative, Agile environment. - Experience with tools such as ServiceNow, GitHub, Jira. Requirements - Data Entry and Processing: Entering, updating, and correcting data in databases, often handling high volumes of information. - Data Integrity and Quality: Verifying data accuracy, performing data cleaning, and ensuring consistency across systems. - Reporting and Analysis: Generating reports and extracting insights from data for operational use. - Documentation and Security: Maintaining data documentation (dictionaries/models) and adhering to data security policies. - Ability to prioritize and execute tasks. Company Description DPCG is an Equal Opportunity Employer committed to hiring and developing the most qualified individuals based on merit, experience, and business needs, without regard to any protected status under applicable law.

• Own the Corporate Dashboard Portfolio: Design, build, and maintain Tableau dashboards spanning key corporate metrics, with a primary focus on ARR, incremental ARR, net revenue retention (NRR), acquisition, upsell, downsell, and churn. • Deliver Analytical Insights: Go beyond reporting — proactively surface trends, anomalies, and opportunities across corporate and revenue data and present findings to senior leadership. • Partner with Stakeholders: Serve as the primary analytics point of contact for executive and cross-functional teams, translating business questions into data-driven answers. • Write and Optimize SQL: Query large-scale databases to extract, transform, and validate data for dashboards and ad hoc analyses. • Maintain Data Quality: Collaborate with data engineering to ensure upstream data pipelines produce accurate, timely inputs for reporting. • Drive Continuous Improvement: Identify opportunities to improve existing dashboards, automate manual reporting, and introduce new analytical capabilities — including AI-assisted tools where appropriate. • Document and Standardize: Establish clear definitions, data dictionaries, and best practices for corporate and ARR-related metrics across the organization.

• Prepare, ingest and integrate data from multiple sources related to AI usage, including events, logs and metrics. • Perform exploratory analyses to identify adoption patterns, user behavior and risks in AI usage. • Build dashboards, reports and scorecards that translate technical data into clear views for different audiences. • Collaborate with product teams to define metrics, dimensions and events for AI monitoring. • Document business rules, data requirements and indicator logic, ensuring governance and traceability. • Present insights in a structured manner to technical and business stakeholders. • Support product evolution based on data analyses and feedback.

• Be on the cutting edge of structured finance and technology. • Expand your structured finance knowledge. • Enhance your technical skills by working closely with engineering teams. • Be customer-facing and provide valuable reporting and analytics services.