Data Risk Analyst - PwC

Preferred Knowledge/Skills:

Demonstrates extensive abilities and/or a proven record of success in the following:

• Having experience using ETL (Extract, Transform and Load), and having experience with SQL (or other database skills), Alteryx, Power Query and / or other agile technologies;
• Having hands-on experience in scripting languages like Python to perform data transformation and mining along with building automations;
• Experience designing and implementing AI-driven automations to streamline workflows, improve efficiency, and support data analysis is a plus;
• Possessing knowledge of business intelligence & data visualization software (e.g. Tableau, Power BI, Google Studio, Qlik);
• Having exposure to data from accounting systems applications such as SAP, Oracle / PeopleSoft, JD Edwards etc.
• Having exposure to ServiceNow, Jira etc.,
• Having exposure to a range of statistical and analytical techniques such as: Natural language processing, machine learning, conceptual modeling, algorithms, statistical analysis, predictive modeling and hypothesis testing;
• Having experience leading analytic teams that have created and applied analytic frameworks to solve complex business problems;
• Having the ability to identify and process critical data (e.g. internal client data, external public data, and new sources of data) to challenge the status quo through innovative thought leadership in the application of quantitative methodologies to improve decision-making; and,
• Having experience identifying and addressing client needs: building, maintaining, and utilizing networks of client relationships.