Database Analyst

• The Data Analyst will play a key role in supporting audit activities by collecting, processing, and analyzing data from various state agencies.
• The ideal candidate will possess strong analytical skills, attention to detail, and experience with analytics tools and common coding languages.
• This role involves working closely with auditors, investigators, and state agencies to provide actionable insights that drive decision-making.

Key Responsibilities

• Collect, clean, and analyze large datasets from various state government agencies.
• Identify trends, anomalies, and patterns in financial and operational data.
• Develop data models, dashboards, and visualizations to support audit findings and reports.
• Collaborate with audit teams to provide data-driven insights
• Assist in the automation of data analysis and reporting processes.
• Ensure data integrity, security, and compliance with state and federal regulations.
• Present findings and recommendations to internal and external stakeholders.
• Contribute to the development of predictive models and risk assessments to detect fraud, waste, and inefficiencies in government programs

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Finance, Business Analytics, or a related field. A Master's degree is a plus.
• 3+ years of experience in data analysis, preferably in government, auditing, or financial sectors.
• Proficiency in SQL, Python, R, or other programming languages for data analysis.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong problem-solving skills and the ability to communicate complex data insights clearly.
• Knowledge of auditing principles, governmental accounting, or financial regulations is preferred.
• Familiarity with machine learning, data mining or predictive analytics is a plus.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Excellent attention to detail, organizational skills, and the ability to meet deadlines.