Overview

Application Development Technology Lead Analyst is a leadership role responsible for transforming complex business challenges into actionable data-driven insights within the CGW Lending domain. This individual will serve as a critical bridge between business stakeholders, product teams and development teams, leveraging advanced SQL and data analysis expertise to support strategic decision-making, enhance operational efficiency, and ensure regulatory compliance. The role demands a blend of deep analytical prowess, strong business acumen, and the ability to lead and mentor.

Key Responsibilities

Strategic Partnership: Act as a key partner to CGW Lending Business, product leads, and Credit Risk & Controls, translating complex business questions into precise data requirements and analytical solutions. Cross-Functional Collaboration: Collaborate extensively with global and regional business product owners, product control, business change managers, and technology teams to understand, define, and deliver data solutions supporting mandatory, discretionary, and regulatory requirements. Data Analysis & Reporting Leadership: Lead and manage data analysis, reporting, process digitization initiatives within the CGW Lending space, ensuring the delivery of strategic, high-quality data solutions globally. Data Architecture & Integration Input: Provide input on data architecture design and integration strategies for analytical purposes, ensuring data quality, accessibility, and consistency across Citi's internal and external data sources. Business Requirements Elicitation & Management: Elicit, document, and manage detailed data and reporting requirements, translating business needs into clear, actionable technical specifications for data engineering and analytics teams. Advanced Data Problem Solving: Conduct in-depth data analysis to identify root causes of complex business and system problems, providing interpretive thinking to develop innovative, data-driven solutions and recommendations. Data Expertise & Best Practices: Serve as a subject matter expert in data modeling and SQL optimization. Ensure all data solutions align with established data architecture principles and business goals. Mentorship & Coaching: Mentor and coach mid-level data analysts and business analysts, guiding them in data extraction, analysis techniques, data visualization, and best practices. Data-Driven Risk & Compliance: Assess risk through a data-centric lens when business decisions are made, safeguarding Citigroup's reputation and assets by driving compliance with applicable laws, rules, and regulations through accurate and transparent data reporting and analysis.

Required Skills & Qualifications

Experience

• 12+ years of progressive experience in data analysis, business analysis, or data engineering roles preferably exposure to the lending domain.
• Proven experience leading data initiatives and projects, preferably in large-scale financial services environments.

Technical Skills

• Database & SQL Expertise: Advanced proficiency in SQL for complex data extraction, manipulation, and analysis across various database platforms (e.g., Oracle, SQL Server, PostgreSQL, NoSQL databases).
• Data Exchange Formats: Knowledge and experience with various data exchange formats (e.g., JSON, XML, RDF) for data interfacing.
• Web Service Integration: Understanding of web service integration (REST, SOAP, Swagger/OpenAPI) for data consumption.
• Container Technologies: Familiarity with container technologies and related frameworks will be an advantage.
• Development Tools: Experience with CI/CD and development tools like Git, BitBucket, Jira for managing data initiatives.

Business Acumen & Analytical Skills

• Financial Instruments & Products: Knowledge of financial instruments, their accounting and bookkeeping principles across Lending, Banking and Investment products.
• Project Methodologies: Experience with project management methodologies (e.g., Agile, Scrum) in the context of data projects, utilizing tools like JIRA and Confluence.
• Problem Solving: Exceptional analytical and problem-solving skills, with the ability to analyze complex data challenges, identify root causes, and propose effective solutions.
• Communication & Influence: Excellent written and verbal communication skills, with the ability to effectively liaise with all levels of staff, influence stakeholders, and gain support for new ideas.
• Self-Motivation & Leadership: Self-motivated, proactive, action-oriented individual with strong personal accountability. Ability to work independently and collaboratively in a dynamic, fast-paced environment.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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