Data Analytics - Lead

Citi • Jacksonville, FL

25d

About The Position

The Data Analytics Lead 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: Strong ETL knowledge (Abinitio, Pyspark ), Good Analytical skills and Banking Knowledge. Should be sound on business Analysis. 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. Resolves occasionally complex and highly variable issues. Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken. Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning. 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, managing and reporting control issues with transparency. Qualifications: In Depth and Hands on Knowledge on Ab-Initio, Hadoop Big Data, Python and SAS for Data Mining and for Data Analysis. Should be able to frame Data Extraction Scripts to extract the data and subject it to in-depth data analysis and should have experience in building automated analytics dashboard and reporting pipelines, reducing manual effort, and enabling real-time data insights. Lead end-to-end data analytics and reporting initiatives, analyzing complex financial data to uncover trends, patterns, and insights supporting business and regulatory needs. Develop and optimize SQL queries, and automation scripts in Oracle and Hive to streamline data extraction, transformation, and reconciliation. Design and deliver reporting and visualization solutions that translate data into actionable insights for senior stakeholders in Finance, Risk, and Operations Knowledge on preparation and submission of various regulatory reporting including CCAR 14M, CCAR 14A CCAR 14Q, FRY9C, FR2052A, FFIEC 101, FFEIC031, IFRS9, CECL etc.. as part of the Federal Reserve’s stress testing and regulatory reporting framework. Should be able to drive data integrity, quality assurance, and process automation, identifying opportunities to enhance accuracy and efficiency through emerging technologies. Having knowledge on Regulation reporting is a plus Education: Bachelor’s/University degree or equivalent experience, potentially Masters degree This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Requirements

• In Depth and Hands on Knowledge on Ab-Initio, Hadoop Big Data, Python and SAS for Data Mining and for Data Analysis
• Should be able to frame Data Extraction Scripts to extract the data and subject it to in-depth data analysis and should have experience in building automated analytics dashboard and reporting pipelines, reducing manual effort, and enabling real-time data insights
• Lead end-to-end data analytics and reporting initiatives, analyzing complex financial data to uncover trends, patterns, and insights supporting business and regulatory needs
• Develop and optimize SQL queries, and automation scripts in Oracle and Hive to streamline data extraction, transformation, and reconciliation
• Design and deliver reporting and visualization solutions that translate data into actionable insights for senior stakeholders in Finance, Risk, and Operations
• Knowledge on preparation and submission of various regulatory reporting including CCAR 14M, CCAR 14A CCAR 14Q, FRY9C, FR2052A, FFIEC 101, FFEIC031, IFRS9, CECL etc.. as part of the Federal Reserve’s stress testing and regulatory reporting framework
• Should be able to drive data integrity, quality assurance, and process automation, identifying opportunities to enhance accuracy and efficiency through emerging technologies

Nice To Haves

• Having knowledge on Regulation reporting is a plus

Responsibilities

• Strong ETL knowledge (Abinitio, Pyspark )
• Good Analytical skills and Banking Knowledge
• Should be sound on business Analysis
• 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
• Resolves occasionally complex and highly variable issues
• Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
• Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
• driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Benefits

• In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.
• Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
• Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.
• For additional information regarding Citi employee benefits, please visit citibenefits.com.
• Available offerings may vary by jurisdiction, job level, and date of hire.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees