Elevate your career and decode complex data patterns and craft influential dashboards. Construct and execute plans for data migration for dashboard and automation tool use. Engage with a visionary team, translating intricate stakeholder needs into transformative insights.

As a Data Operations Associate in Commercial and Investment Bank - Middle Office, you conduct independent analysis to uncover patterns leading to new questions and solutions through data collection, integrity, utilization, requirements, and analysis. You apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope. Use your elevated technical skills to support the design and development of metrics reporting and dashboards to enable Operations Management to execute their strategic objectives and ensure conformance with all controls, policies, and procedures.

Job Responsibilities:

Execute data migration efforts, ensuring seamless integration and minimal disruption to business operations. Develop and maintain ETL processes to support data migration and integration. Create and maintain dashboards and reports using tools like Qlik, Tableau and Power BI to provide insights to business stakeholders. Collaborate with business units to understand functional requirements and reporting needs, translate them into technical and data requirements, and deliver actionable insights. Implement data quality checks and validation processes to ensure data accuracy and reliability. Provide technical expertise and support for data-related projects and initiatives. Troubleshoot and resolve data issues in a timely manner. Maintain detailed documentation of data processes, systems, and workflows. Ensure adherence to regulatory requirements and company standards.

Required Qualifications, Capabilities, and Skills:

Minimum of 2 years of experience in data operations, data migration, and data visualization.  Proven experience with data migration projects and tools Proven experience working with structured and semi-structured data Strong understanding of data warehousing and data modeling concepts.  Familiarity with ETL processes and tools (  Python, Alteryx, Snowflake, and AWS environment) Proficiency in data analysis tools such as SQL, Python, Tableau, and Power BI. Strong analytical and problem-solving skills with high attention to detail Excellent verbal and written communication skills to convey complex data insights to non-technical stakeholders. Ability to manage multiple projects and meet deadlines. Strong team player with the ability to work collaboratively in a cross-functional environment.

Preferred Qualifications, Capabilities, and Skills:

Bachelor’s degree. Knowledge of query writing and execution using data analysis tools. Certification in Data Technology, Agile, or other project management applications. Experience with additional data analysis tools and technologies such as R, SAS, Hadoop, and Spark. (Plus)  Understanding of data governance and data quality management principles.