Join careerzynith as a Senior Internal Audit Data Analyst Are you ready to transform the way a leading organization approaches internal auditing through the power of data analytics and automation? careerzynith is seeking a talented and driven Senior Internal Audit Data Analyst to join our dynamic Internal Audit team at our Florida office. This is a unique opportunity to be at the forefront of digital transformation within a company that values innovation, analytical excellence, and professional growth. At careerzynith, we believe that data is the cornerstone of intelligent decision-making. As part of our Internal Audit department, you will play a pivotal role in revolutionizing our risk-based audit approach and SOX compliance program through cutting-edge data analysis and automation technologies. This position offers the chance to work with a wide array of analytical tools and methodologies while collaborating across functional teams to identify risks, streamline processes, and drive meaningful business insights.

What You'll Do

As a Senior Internal Audit Data Analyst at careerzynith, you will be instrumental in automating manual tasks and transforming our audit processes. Your responsibilities will include:

• Partnering with Internal Audit staff to identify and execute analytical and automation opportunities within the audit lifecycle
• Designing, developing, and maintaining automated solutions using Robotic Process Automation (RPA) and Analytical Process Automation (APA) technologies
• Creating dynamic Tableau dashboards and visualization tools that provide real-time insights into high-risk audit areas
• Conducting statistical analysis and building predictive models to support fraud detection and anomaly identification
• Developing and delivering data analysis training programs for internal audit team members
• Collaborating with cross-functional teams to understand business processes, identify risks, and establish monitoring controls
• Creating, maintaining, and continuously improving analytical solutions that deliver actionable business insights
• Planning, performing, and documenting data analysis methodologies to validate the effectiveness of business processes, internal controls, and regulatory compliance
• Investigating data discrepancies and translating findings into compelling narratives for stakeholders
• Proactively monitoring emerging risks, identifying trends, and recommending corrective actions
• Evaluating data quality and working closely with business and Data Warehouse teams to ensure accuracy and reliability
• Staying current with emerging tools, technologies, and industry best practices in data analytics and audit automation

What We're Looking For

We are seeking a candidate who demonstrates exceptional analytical capabilities and a passion for transforming data into actionable intelligence. The ideal candidate will have: Essential Qualifications:

• Educational Background: Bachelor's degree in Mathematics, Finance, Statistics, Economics, Data Management, or a related field with analytical or quantitative emphasis
• Technical Expertise: Strong SQL skills with working knowledge of databases, ETL processes, and data modeling across multiple business functions
• Programming Abilities: Demonstrated ability to develop production-level code
• Analytics Tools: Proficiency in BI tools such as Tableau, Power BI, KNIME, OBIEE, or Alteryx
• Statistical Skills: Experience interpreting data, designing statistical approaches, and analyzing results using exploratory and statistical techniques
• ETL Experience: Hands-on experience leading Extract, Transform, Load (ETL) initiatives
• Presentation Skills: Ability to communicate findings effectively to colleagues across the organization, including executive leadership
• Analytical Mindset: Strong technical skills with a genuine passion for data analysis and investigation, combined with intellectual curiosity
• Self-Motivation: A self-starter mindset with the ability to thrive in a fast-paced, dynamic environment
• Programming Languages: Demonstrated analytical skills using SAS, R, or Python
• Statistical Methods: Understanding of statistical methodologies including regression, predictive modeling, forecasting, time series analysis, and clustering
• Data Handling: Ability to work with imperfect information and uncertainty, handling both unstructured and structured data
• Experience Level: Minimum of 3+