Citi Group Officer - Data Analytics Intmd Analyst MUMBAI Hybrid 

India, Maharashtra, Pune 

399888612

Enterprise Excellence (EE) is a group within the Operations and Technology (O&T) organization that designs solutions to enhance transparency, empowers Operations and Functions to improve processes and evolves the organization through continuous improvement and simplification. The organization is responsible for defining, deploying and driving alignment and progress against a firm-wide framework that reduces operational risk, standardizes workforce optimization and improves process health. Operations Process Reengineering Framework (OPRF) is a data driven metrics reporting and scoring solution for the key performance metrics for our Operations groups.

The Data Analytics Intermediate Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub-function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
Responsibilities:

• Integrates in-depth data analysis knowledge with a solid understanding of industry standards and practices.
• Demonstrates a Good understanding of how data analytics teams and area integrate with others in accomplishing objectives.
• Applies project management skills.
• Applies analytical thinking and knowledge of data analysis tools and methodologies.
• Analyzes factual information to make accurate judgments and recommendations focused on local operations and broader impacts.
• Applies professional judgment when interpreting data and results breaking down information in a systematic and communicable manner.
• Employs developed communication and diplomacy skills to exchange potentially complex/sensitive information.
• Demonstrates attention to quality and timeliness of service to ensure the effectiveness of the team and group.
• Provides informal guidance or on-the-job-training to new team members.
• 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:

• 5+ years relevant experience
• Experience leveraging complex data sets to create executive reports
• Demonstrated interpersonal, verbal and written communication skills
• Strong analytical and critical thinking skills
• Ability to quickly grasp and master new requirements and subject matter
• Excellent verbal, written and interpersonal communication skills
• Strong, creative problem-solving skills (analyze and troubleshoot data to ensure accuracy)
• Highly proficient in Microsoft Office applications including MS Excel and PowerPoint

Education:

• Bachelor’s/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Nice to Have:

• Experience with visualization tools such as QlikSense, Tableau, relational database knowledge with SQL awareness and an understanding of the data lifecycle at financial institutions would be advantageous.

Time Type:

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