Data Analyst

We are looking for a detail-oriented Data Analyst to join a financial services organization in Tonawanda, New York. This contract opportunity with permanent potential is ideal for someone who enjoys turning operational data into meaningful insights, improving day-to-day processes, and supporting business decisions with clear reporting. The role will partner closely with leadership and internal teams to enhance efficiency, strengthen visibility into performance, and contribute to ongoing technology and workflow improvements.

Responsibilities:

• Create and refine reports, dashboards, and performance measurements that help leaders monitor operational results and make informed decisions.
• Use Excel, VBA, Power Query, Microsoft 365 applications, and related tools to streamline reporting activities and improve access to business data.
• Examine existing workflows to uncover inefficiencies, recommend practical enhancements, and support automation efforts where appropriate.
• Gather, organize, and present key operating metrics for management reviews, planning discussions, and business performance analysis.
• Support the development of process documentation, workflow diagrams, and other materials that clarify procedures and identify improvement opportunities.
• Collaborate with leadership and cross-functional partners on initiatives tied to both immediate priorities and longer-term operational goals.
• Contribute to continuous improvement sessions and team-based projects focused on increasing productivity and strengthening user experience.
• Maintain organized records such as project updates, tracking logs, reporting files, and operational documentation to ensure accuracy and consistency.
• Apply AI-enabled productivity tools, including Microsoft Copilot, to improve reporting quality and increase process efficiency.
• Provide basic user support by assisting with troubleshooting, account-related questions, and general systems issues as needed.
• Experience in data analysis within a business, operations, or financial services environment.
• Strong proficiency in Microsoft Excel, including advanced formulas, data manipulation, and VBA or macro-based automation.
• Hands-on ability with reporting and data preparation tools such as Power Query and Microsoft 365 applications.
• Understanding of workflow analysis, process improvement, and operational reporting methods.
• Ability to interpret trends, summarize findings, and communicate recommendations clearly to stakeholders.
• Familiarity with fraud analytics, anti-fraud activities, fraud investigation, or suspected fraud review is valued.
• Strong organizational skills with the ability to manage documentation, reporting files, and multiple priorities accurately.