Data Engineer, Internal Audit Data Analytics, Associate

Role Overview: As a Data/Application Engineer at BlackRock for the Internal Audit Data Analytics team, you will play a crucial role in providing data analytics services and solutions to support the audit programs, ensuring they can scale effectively with the growth and complexity of BlackRock. Your main responsibility will be to design, develop, and implement engineering solutions that enhance Internal Audit's capabilities, collaborating with various teams to drive data-driven solutions. Key Responsibilities: - Design, develop, and implement analytics tools and technology solutions for Internal Audit. - Build and maintain data pipelines, ETL processes, and reporting dashboards. - Optimize database structures and data warehouses for efficient data storage and analysis. - Develop and manage business intelligence solutions using tools like Power BI, Power Automate, and Power Apps. - Ensure data integrity, security, and accessibility while implementing governance best practices. - Drive automation and process optimization for audit-related data initiatives. Additional Responsibilities: - Design and implement automated audit tests to enhance audit coverage. - Develop and document audit testing code for efficiency and transparency. - Collaborate with stakeholders to identify risks and propose analytics-driven solutions. - Support ad-hoc data analysis for regulatory inquiries, issue verification, and strategic initiatives. Qualifications & Skills: Technical Skills: - Bachelor's/masters degree in computer science or Analytics-related field. - 3 to 5 years of experience in a developer or engineering role, with exposure to developing and implementing solutions. - Proficiency in Python, object-oriented concepts, and strong SQL/database knowledge. - Experience with Agile methodologies, Azure DevOps, JIRA, and working knowledge of Power BI/Power Automate/Power Apps. - Experience with structured and unstructured data, Data Warehousing, ETL processes, text analytics, web scraping, Selenium, N-Gram analysis, and Sentiment Analysis preferred. Soft Skills: - Strong understanding of business processes, risks, and controls to enhance audit efficiencies through data analytics. - Problem-solving, analytical, and project management skills. - Effective communication and stakeholder management skills. - Proactive self-starter with the ability to work independently and in a collaborative team environment. - Strong attention to detail and ability to manage multiple priorities in a fast-paced environment. If you are passionate about leveraging data engineering and analytics in an Internal Audit environment and thrive in a global financial technology setting, we encourage you to apply to this role at BlackRock. Role Overview: As a Data/Application Engineer at BlackRock for the Internal Audit Data Analytics team, you will play a crucial role in providing data analytics services and solutions to support the audit programs, ensuring they can scale effectively with the growth and complexity of BlackRock. Your main responsibility will be to design, develop, and implement engineering solutions that enhance Internal Audit's capabilities, collaborating with various teams to drive data-driven solutions. Key Responsibilities: - Design, develop, and implement analytics tools and technology solutions for Internal Audit. - Build and maintain data pipelines, ETL processes, and reporting dashboards. - Optimize database structures and data warehouses for efficient data storage and analysis. - Develop and manage business intelligence solutions using tools like Power BI, Power Automate, and Power Apps. - Ensure data integrity, security, and accessibility while implementing governance best practices. - Drive automation and process optimization for audit-related data initiatives. Additional Responsibilities: - Design and implement automated audit tests to enhance audit coverage. - Develop and document audit testing code for efficiency and transparency. - Collaborate with stakeholders to identify risks and propose analytics-driven solutions. - Support ad-hoc data analysis for regulatory inquiries, issue verification, and strategic initiatives. Qualifications & Skills: Technical Skills: - Bachelor's/masters degree in computer science or Analytics-related field. - 3 to 5 years of experience in a developer or engineering role, with exposure to developing and implementing solutions. - Proficiency in Python, object-oriented concepts, and strong SQL/database knowledge. - Experience with Agile methodologies, Azure DevOps, JIRA, and working knowledge of Power BI/Power Automate/Power Apps. - Experience with structured and unstructured data, Data Warehousing, ETL processes, text analytics, web scraping, Selenium, N-Gram analysis, and Sentiment Analysis preferred. Soft Skills: - Strong understanding of business processes, risks, and controls to enhance audit efficiencies through data analytics. - Problem-solv