Senior Data Analyst
CitiAbout the role
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.
Citi’s Mission and Value Proposition explain what we do and Strategy explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve.
The Senior Data Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
Responsibilities:
Integrates subject matter and industry expertise within a defined area.
Contributes to data analytics standards around which others will operate.
Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function.
Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.
Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning for resources.
Integral member of Data Engineering team, responsible for design and development of Big Data solutions. Partner with domain experts, product managers, analysts, and data scientists to develop Big Data pipelines in Hadoop or Snowflake. Responsible for delivering data as a service framework.
Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/taken. Resolves occasionally complex and highly variable issues.
Responsible for moving all legacy workloads to cloud platform. Work with data scientist to build Client pipelines using heterogeneous sources and provide engineering services for data science applications.
Ensure automation through CI/CD across platforms both in cloud and on-premises. Research and assess open source technologies and components to recommend and integrate into the design and implementation
Define needs around maintainability, testability, performance, security, quality and usability for data platform.
Drive implementation, consistent patterns, reusable components, and coding standards for data engineering processes.
Convert SAS based pipelines into languages like PySpark, Scala to execute on Hadoop and non-Hadoop ecosystems.
Tune Big data applications on Hadoop and non-Hadoop platforms for optimal performance.
Be the technical expert and mentor other team members on Big Data and Cloud Tech stacks.
Evaluate new IT developments and evolving business requirements and recommend appropriate systems alternatives and/or enhancements to current systems by analyzing business processes, systems and industry standards.
Supervise day-to-day staff management issues, including resource management, work allocation, mentoring/coaching and other duties and functions as assigned.
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating
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