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