Data Visualization Engineer || Only W2

Design, develop, test, deploy, and maintain executive, portfolio, and operational dashboards for application maintenance, technology health, security/compliance/risk, vulnerabilities, and developer productivity. Create enterprise scorecards and KPI frameworks that translate complex operational, risk, engineering, and portfolio data into clear, actionable insights. Build reporting solutions using approved enterprise visualization platforms such as Power BI, Tableau, MicroStrategy, or other approved Truist technologies. Integrate and aggregate data from enterprise platforms including ServiceNow, Archer, PPM tools, SharePoint, Workday, Rally, Git repositories, vulnerability platforms, application inventory/CMDB sources, and other enterprise systems. Develop real-time or near-real-time data acquisition patterns using REST APIs, Graph APIs, scheduled extracts, event-driven integrations, and governed ETL/ELT processes. Design and support common reporting data stores and semantic models using AWS capabilities such as DynamoDB, PostgreSQL/Amazon RDS, S3, Lambda, API Gateway, and related services. Partner with technology leaders, product owners, cybersecurity, risk, audit, PMO, and engineering teams to gather requirements, define metrics, socialize insights, and drive adoption. Establish dashboard standards for usability, accessibility, metric definitions, data quality, governance, refresh cadence, and production support. Leverage approved AI tools and AI-assisted analytics capabilities to make dashboards more intelligent through natural language Q&A, automated insights, anomaly detection, trend summaries, and recommendation prompts. Provide ongoing support, troubleshooting, performance tuning, and enhancement of dashboards, data models, APIs, and reporting pipelines. Required Skills & Experience 6–8 years of experience in data visualization, business intelligence, analytics engineering, reporting, or data product development within a large enterprise environment. Strong hands-on experience with one or more enterprise BI platforms such as Power BI, Tableau, MicroStrategy, or comparable approved dashboarding tools. Advanced SQL skills and practical experience designing data models, semantic layers, measures, calculated fields, and reusable reporting datasets. Experience integrating data from enterprise/SaaS platforms using APIs, connectors, scheduled extracts, web services, JSON/XML, and governed data pipelines. Experience working with relational and/or NoSQL data stores such as PostgreSQL, SQL Server, Oracle, Amazon RDS, DynamoDB, or equivalent platforms. Understanding of AWS-based data and integration patterns including S3, Lambda, API Gateway, IAM/security concepts, RDS/PostgreSQL, DynamoDB, and cloud monitoring practices. Experience defining KPIs, data quality rules, reconciliation checks, metric lineage, and dashboard governance for enterprise reporting solutions. Strong analytical, troubleshooting, data storytelling, documentation, and stakeholder communication skills. Ability to work in agile delivery teams and partner across business, technology, risk, cybersecurity, audit, and operations stakeholders. Good to Have Experience with ServiceNow reporting/data models, CMDB, ITSM, ITOM, GRC/IRM, or enterprise workflow data. Exposure to Archer, Rally, Workday, SharePoint, PPM platforms, vulnerability management platforms, GitLab/GitHub, CI/CD tools, or similar enterprise systems. Experience building AI-enabled reporting experiences using approved tools such as Copilot, Power BI Copilot capabilities, natural language Q&A, automated narrative summaries, anomaly detection, or intelligent alerting. Knowledge of developer productivity frameworks such as DORA metrics, flow metrics, agile delivery metrics, backlog health, and engineering capacity analytics. Experience with data cataloging, data lineage, role-based access controls, dashboard certification, and production support processes. Familiarity with financial services, regulatory environments, audit readiness, control monitoring, risk management, and security/compliance reporting. Preferred Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Statistics, Business Analytics, or a related field; equivalent practical experience will be considered. Experience working in banking, financial services, or another highly regulated large enterprise. BI platform certifications such as Power BI, Tableau, MicroStrategy, or equivalent are preferred. AWS certification or demonstrated cloud data engineering experience is a plus. Strong collaboration, consulting, and executive communication skills with the ability to influence metric adoption and reporting standards. #J-18808-Ljbffr Nexify Infosystems