Data Analyst Job at Robert Half in Hudson

We are seeking a meticulous and highly skilled Data Analyst to join our team on a long-term contract basis. This role emphasizes expertise in financial analysis and advanced Excel usage to effectively support data management and reporting activities. As a Data Analyst, you will play a pivotal role in organizing donor contributions and preparing insightful reports tailored to classifications, geographic segments, and other critical categories.

Key Responsibilities:

• Data Management: Maintain and structure spreadsheets to ensure precise organization of donor contributions and associated data.
• Reporting: Develop detailed and accurate reports by analyzing data across various classifications and geographic regions, ensuring meaningful insights.
• Financial Analysis: Utilize financial data to monitor trends, identify patterns, and develop actionable recommendations.
• Fraud Analytics: Collaborate with the team to review data for suspected fraud and assist in addressing irregularities through investigation and analysis.
• Excel Expertise: Apply advanced Excel functionalities (e.g., pivot tables, formula optimization, macros) to streamline data handling, improve efficiency, and enhance reporting capabilities.
• Collaboration: Partner with team members and stakeholders to address shared goals and contribute to fraud analytics initiatives.
• Accuracy & Professionalism: Uphold high standards of data accuracy and integrity in all activities, ensuring consistent and professional outputs.
• Stakeholder Engagement: Provide timely updates, insights, and summaries to stakeholders based on data analysis findings.
• Deadline Management: Maintain a Monday-Friday schedule and deliver high-quality results within designated timelines.

• Minimum of 2 years of experience in data analysis or a related field.
• Proficiency in advanced Excel, including pivot tables, formulas, and data visualization tools.
• Strong attention to detail and ability to work with financial data accurately.
• Experience in fraud analytics, investigation, or anti-fraud measures is highly preferred.
• Solid understanding of data reporting and management processes.
• Ability to analyze large datasets and identify trends or irregularities.
• Excellent organizational and communication skills.
• A meticulous approach to meeting deadlines and handling sensitive information.