Data Analyst

Job Description

Job Description

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.