Data Analyst

What you'll be doing: Collaborate with audit and technology partners to source data for relevant systems from enterprise data lakes and data warehouses Develop queries and testing strategies, including techniques to confirm the completeness and accuracy of the data used Develop and implement data analytics solutions in SQL and Python, using both structured and unstructured data Present insights and recommendations through clear visualizations and data-driven storytelling Automate Internal Audit processes through repeatable analytics workflows and Robotic Process Automation (RPA) bots Support the training and development of team members to expand the team's knowledge and ability to write queries and independently perform data analytics Implement advanced ML and AI techniques to improve audit testing and risk assessment capabilities Ensure overall quality and consistency of data analytics work, and alignment to department and professional standards for audits What we need to see: 3+ years in data analytics and reporting, data science, or business intelligence Bachelor's or equivalent experience or Master's degree in Business Analytics, Data Science, Information Systems, Computer Science, Engineering, Statistics, Economics, or related field Proficiency using SQL and Python for ETL and data analytics Proficiency using data visualization tools such as Tableau or Power BI Experience in clear and precise presentation of data analysis findings to both technical and non-technical partners Ability to balance multiple priorities and drive projects to completion with minimal direction Experience working on data analytics projects both independently as well as in multi-functional teams Good communication skills and interpersonal skills that allow interactions with team members and business partners Ways to stand out from the crowd: Analytics experience in audit, compliance, or other risk management functions Experience working in technology-related companies Experience building and managing data pipelines in data lakehouse platforms such as Databricks or Snowflake Experience developing ML or AI solutions Background with RPA tools such as UiPath or Power Automate