Data Scientist - BANGALORE

The Business Analytics Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.

What do we do?

• The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience.
• The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and AI/ML techniques to drive data driven business outcomes in collaboration with business and product partners.

ROLE DESCRIPTION

• The role will be Business Analytics Analyst (C10) in the TTS Analytics team
• The role will report to the AVP leading the team
• This role will be a key contributor to ideation on analytical projects to tackle strategic business priorities
• The role will involve working on multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the TTS business
• This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts, etc.) to provide data driven insights to business partners and functional stakeholders
• Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
• Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
• Work closely with internal business partners in building, implementing, tracking and improving decision strategies
• 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:

Experience:

• Bachelor’s Degree with 4+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics
• Identifying and resolving business problems (around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention) preferably in the financial services industry
• Utilizing text data to derive business value by leveraging different NLP techniques (mid to expert level prior experience is a must)
• Leveraging and developing analytical tools and methods to identify patterns, trends and outliers in data
• Applying Predictive Modeling techniques for a wide range of business problem
• Working with data from different sources, with different complexities, both structured and unstructured

Skills:

Analytical Skills:

• Strong logical reasoning and problem solving ability
• Proficient in converting business problems into analytical tasks, and analytical findings into business insights
• Proficient in formulating analytical methodology, identifying trends and patterns with data
• Has the ability to work hands-on to retrieve and manipulate data from big data environments

Tools and Platforms:

• Expert knowledge in Python, SQL, PySpark and related tools
• Proficient in MS Excel, PowerPoint

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

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