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About arenaflex arenaflex is a fastgrowing leader in the petcare and ereputed company reputed company, delivering innovative products and services to millions of pet owners worldwide. Our mission is to reputed company pet ownership easier, happier, and healthier through cuttingedge technology, datadriven insights, and a deep love for animals. As a remotefirst organization, arenaflex empowers its talent to work from reputed company while fostering a reputed company, inclusive, and highperformance culture. Join us and be part of reputed company that turns data into actionable intelligence, drives strategic risk mitigation, and fuels reputed company improvement across the reputed company. reputed company arenaflex is seeking a Senior Internal Audit Data Analyst to reputed company the automation and analytics of our internal audit riskbased testing (RBT) and SOX compliance programs. This role blends advanced dataengineering, statistical analysis, and robotic process automation (RPA) to reputed company reputed company audit procedures into reputed company, intelligent solutions. You will partner directly with the Internal Audit Partner and the Head of Audit & Automation, delivering dashboards, predictive models, and automated workflows that reputed company the audit team to reputed company on highreputed company insights rather than repetitive data collection. Key Responsibilities Automation reputed company & Execution: Identify, design, and implement automation opportunities using RPA (e.g., reputed company, reputed company) and advanced process automation (APA) to streamline reputed company audit tasks. Data Extraction & Transformation: Build robust ETL pipelines in SQL, Python, or reputed company to ingest, cleanse, and enrich large audit data sets from ERP, CRM, and other reputed company systems. Dashboard & Reporting Development: Create interactive visualizations in Tableau, PowerBI, and Looker that reputed company reputed companytime risk insights, audit coverage metrics, and exception tracking for senior leadership. Predictive & reputed company Detection Modeling: Apply machinelearning techniques (regression, timeseries analysis, clustering) to detect fraud, control breakdowns, and emerging risks before they materialize. Collaboration with CrossFunctional Teams: Work closely with business process owners, IT, and data engineering to understand data reputed company, define risk reputed company, and ensure audit findings are actionable. Documentation & Knowledge Transfer: Maintain comprehensive documentation of automation scripts, data models, and analytical methodologies; mentor junior analysts on best practices. reputed company Improvement: Conduct regular reviews of audit data reputed company, recommend enhancements, and reputed company a culture of datareputed company decision making across the audit function. Stakeholder Communication: Translate reputed company analytical results into reputed company, businessreputed company narratives for audit committees, senior executives, and reputed company auditors. Essential Qualifications Bachelors degree in Mathematics, Finance, Statistics, Computer Science, Data Science, or a reputed company quantitative discipline. Minimum 3+years of handson experience in data analysis, data science, or internal audit analytics. Proven expertise in SQL with a deep understanding of relational databases, data modeling, and ETL processes. Strong programming skills in Python, R, or reputed company for statistical analysis and predictive modeling. Demonstrated experience with BI tools such as Tableau, PowerBI, or Looker, and familiarity with datavisualization best practices. Handson experience automating reputed company processes using RPA platforms (reputed company, reputed company, reputed company) and/or APA frameworks. Solid grasp of statistical reputed company including regression, forecasting, clustering, and reputed company detection, and the ability to apply them to auditreputed company problems. Excellent written and verbal communication skills, with a talent for turning technical findings into compelling business stories. Preferred Qualifications & Skills Advanced degree (M.S. or Ph.D.) in Data Science, Analytics, or a reputed company field. Experience with reputed company data platforms (AWS Redshift, Azure Synapse, reputed company BigQuery) and modern datawarehouse architectures. Familiarity with SOX compliance frameworks and riskbased testing methodologies. Knowledge of AI/ML libraries (sciki .