Business Analytics with Python and SQL

Citigroup Inc.; Bengaluru; Vor Ort; INR 1.200.000 - 1.800.000; Vollzeit

Zusammenfassung

Citigroup Inc. in Bengaluru seeks a Business Analytics Analyst (C10) to join the TTS Analytics team. You will work across the client lifecycle—acquisition, engagement, and retention—providing data-driven insights to stakeholders.

The role requires proficiency in Python/R, PySpark, Hive, Excel and PowerPoint, with NLP experience as a plus. You will translate business problems into analytics, collaborate across functions, and report to AVP/VP leaders.

Qualifikationen

• Bachelor’s Degree with 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics.
• Identifying and resolving business problems (sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention) preferably in the financial services industry.
• 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 problems.
• Working with data from different sources, with different complexities, both structured and unstructured.
• Utilizing text data to derive business value by leveraging different NLP techniques.

Aufgaben

• Work on multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention.
• Leverage multiple analytical approaches, tools and techniques to provide data driven insights to business and functional stakeholders.
• Collaborate with product, pricing and sales functions to drive decisions.
• Present findings to AVP/VP level stakeholders and enable data-driven actions.

Kenntnisse

Analytical thinking

Communication

Problem solving

Attention to detail

Ausbildung

Bachelor's degree in quantitative field

Master's degree in Analytics/CS/EE

Tools

Python/R

PySpark

Hive

Excel

PowerPoint

Tableau

Jobbeschreibung

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 machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems.

ROLE DESCRIPTION

• The role will be Business Analytics Analyst (C10) in the TTS Analytics team
• The role will report to the AVP/VP leading the team
• 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 and functional stakeholders

QUALIFICATIONS

Experience:

• Bachelor’s Degree with 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics
• Must have:
  • Identifying and resolving business problems (around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention) preferably in the financial services industry
  • 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 problems
  • Working with data from different sources, with different complexities, both structured and unstructured
  • Utilizing text data to derive business value by leveraging different NLP techniques
• Good to have:
  • Experience working with data from different sources and of different complexity

Skills:

Analytical Skills:

• 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:

• Proficient in Python/R, PySpark and related tools
• Experience in Hive
• Proficient in MS Excel, PowerPoint
• Good to have:
  • Experience with PySpark
  • Experience with Tableau

Soft Skills:

• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Be organized, detail oriented, and adaptiveto matrix work environment

Job Family Group:

Decision Management

Job Family:

Business Analysis

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

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

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