Job Description
Job Description
Junior Data Analyst
Location: Buffalo, NY
Compensation: Up to $24/hour
Schedule: Part-Time to Start (Approximately 20 Hours/Week) with Potential for Full-Time Conversion
Work Arrangement: Primarily Onsite Initially, Transitioning to Hybrid
About the Opportunity
Our client is seeking a highly analytical and detail-oriented Junior Data Analyst to support reporting, process improvement, operational analytics, and business systems initiatives. This role offers exposure to data analysis, workflow optimization, reporting automation, and emerging AI technologies while partnering closely with leadership on strategic initiatives.
This is an excellent opportunity for a early-career analyst looking to develop their skills in a business environment that values continuous improvement, innovation, and data-driven decision-making.
Responsibilities
- Develop, maintain, and analyze reports, dashboards, and key performance indicators (KPIs).
- Utilize Microsoft Excel, VBA, Macros, and Microsoft 365 tools to improve reporting accuracy and efficiency.
- Identify workflow bottlenecks, operational inefficiencies, and opportunities for process improvement.
- Compile, track, and present operational metrics and business performance data.
- Assist with process documentation, workflow mapping, and continuous improvement initiatives.
- Collaborate with leadership to support short-term and long-term business objectives.
- Analyze operational processes and recommend solutions to improve productivity and effectiveness.
- Maintain reporting files, project documentation, issue-tracking logs, and operational records.
- Leverage Microsoft Copilot and AI-powered productivity tools to streamline workflows and reporting processes.
- Provide basic technical support and end-user assistance as needed.
- Support technology-related projects and administrative system initiatives.
• 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.