Senior Business Analyst

Citi; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Citi is looking for an experienced analytics professional to join the TTS Analytics team in Bengaluru. You will provide analytical insights to drive acquisitions and revenue growth while improving client experience in global Treasury & Trade Services.

The ideal candidate will have a Master’s Degree and 5-8 years of experience in data analytics, with expertise in marketing analytics and predictive modeling. Strong skills in Python, SQL, and data visualization tools are essential. Join us in a role where you can effectively contribute to analytics-driven strategies.

Qualifications

• 5-8 years of experience in data analytics, preferably in financial services.
• Experience in marketing analytics and sales/marketing strategy optimization.
• Proficiency in converting business problems into analytical tasks.

Responsibilities

• Provide analytical insights to key business functions.
• Utilize big data and machine learning for predictive modeling.
• Identify and convert business problems into analytical frameworks.

Skills

Analytical Skills

Problem Solving

Python

SQL

Pyspark

Data Visualization

Education

Master’s Degree in Data Analytics

Tools

Tableau

MS Excel

PowerPoint

Job description

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 and 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 and other solutions, and designs go-to-market strategies for a huge variety of business problems.

Qualifications

• Master’s Degree (preferred) with 5-8 years of experience in data analytics
• Must have:
  • Marketing analytics experience
  • Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
  • Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
  • Predictive modeling using Machine Learning
• Good to have:
  • Experience in financial services
  • Experience working with data from different sources and of different complexity
  • Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining

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:
  • Proficient in Python, Pyspark, SQL
  • Proficient in Tableau, MS Excel, PowerPoint
  • Experience in Pyspark, SQL & Python
  • Experience in data visualization tools like Tableau
  • Data science and Machine learning concepts understanding and experience is a plus
• Soft Skills:
  • Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
  • Should have excellent communication and inter‑personal skills
  • Story telling ~ Some part in Dashboarding ~ 10%
  • Strong process/project management skills
  • Ability to coach and mentor juniors
  • Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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