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 current sources of data) to challenge the status quo through cutting-edge 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.

📌 Data Risk Analyst Pwc Bengaluru
🏢 PwC
📍 Bengaluru