Amazon Bi Engineer Jobs (NOW HIRING)

Key Responsibilities

• 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.
• Python, DAX, M, Power Query, JavaScript, or other scripting experience for data transformation, automation, and advanced analytics.
• 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.