Senior Data Analyst (AI)

Location: Hybrid onsite work in Richmond, VA or McLean, VA.

Company

hirify.global provides staffing services for enterprise data and business initiatives.

What you will do

• Develop and continuously improve data management controls, analytics, reporting solutions, dashboards, and analytical processes.
• Analyze large datasets across evolving data environments to identify trends, troubleshoot issues, and implement technical improvements.
• Support data governance transformation initiatives focused on automation, preventative controls, risk management, operational efficiency, and accountability.
• Collaborate with data analysts, risk managers, business stakeholders, and data product teams to gather requirements and deliver data-driven solutions.
• Contribute to enterprise data products throughout the full data lifecycle and strengthen data management and governance practices.
• Share technical expertise, analytical insights, and best practices while independently driving solutions with minimal supervision.

Requirements

• Strong experience as a Data Analyst or Senior Data Analyst working with large datasets in enterprise data environments.
• Strong hands-on experience with Python and SQL for data analysis, manipulation, and automation.
• Experience with PySpark for large-scale data processing and analytics and Databricks for data engineering, analytics, or processing workflows.
• Experience with business intelligence and reporting tools.
• Strong understanding of data management, data governance, data quality, and data lifecycle processes.
• Experience developing, implementing, or improving data management controls and analytical reporting solutions.
• Ability to analyze complex datasets, identify trends, troubleshoot data issues, and deliver actionable business insights.
• Experience leveraging AI tools, automation, process improvement, and technical innovation to improve productivity and analytical efficiency.
• Strong communication skills, including the ability to translate complex technical concepts and analytical findings to nontechnical stakeholders.
• Experience gathering business requirements and collaborating with cross-functional teams.
• Strong analytical, critical-thinking, problem-solving, organizational, and attention-to-detail skills, with the ability to manage multiple priorities.
• Ability to work independently, proactively identify issues, troubleshoot technical challenges with minimal supervision, and work effectively in a collaborative, team-oriented environment.
• Must be able to work onsite in Richmond, VA or McLean, VA in a hybrid capacity.

Nice to have

• Amazon QuickSight experience.
• Experience in financial services, risk management, or enterprise data governance environments.

Culture & Benefits

• Hybrid work arrangement with onsite work in Richmond, VA or McLean, VA.
• Collaboration with cross-functional business units, data product teams, risk managers, and data analysts.
• Opportunity to support enterprise data governance transformation, automation, and technical innovation.