Senior Business Analyst
Citi · Pune Division, Maharashtra, India
- On site
- Full-time
- $120,000 / year
- Pune Division, Maharashtra, India
Job highlights
- Analyze business problems for TTS global business.
- Drive acquisitions, cross-sell, and revenue growth.
- Utilize big data, ML, and NLP techniques.
- Work with diverse data sources.
- Provide data-driven insights to stakeholders.
About the role
About the TTS Analytics Team
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 Intmd Analyst (C11) in the TTS Analytics team. The role will report to the AVP 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 5-8 years of experience in data analytics, or Master’s Degree with 4-8 years of experience in data analytics, or PhD.
- 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
- Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining
- Good to have: Experience in financial services
- Good to have: Experience working with data from different sources and of different complexity
- 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
- Proficient in Python/R, SQL
- Experience in Hive
- Proficient in MS Excel, PowerPoint
- Good to have: Experience with PySpark
- Good to have: Experience with Tableau
- 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
- 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.
- Business Analysis
- Data Analytics
- Marketing Analytics
- Machine Learning
- Python
- R
- SQL
- NLP
- Data Mining
- Financial Services
Skills & topics
- Business Analyst
- Data Analytics
- Marketing Analytics
- Machine Learning
- Python
- R
- SQL
- NLP
- Financial Services
- Treasury & Trade Services
How to get hired
- Tailor your resume: Highlight your marketing analytics and financial services experience, emphasizing skills in optimization, predictive modeling, and NLP.
- Showcase technical skills: Detail your proficiency in Python, R, SQL, Hive, and ML tools, along with any PySpark or Tableau experience.
- Demonstrate business acumen: Provide examples of how you've converted business problems into analytical frameworks and delivered actionable insights.
- Prepare for interviews: Be ready to discuss your problem-solving approach, communication skills, and experience mentoring junior analysts.
- Understand Citi's values: Research Citi's commitment to equal opportunity and responsible business practices.
Technical preparation
Master Python, R, and SQL for data manipulation.,Practice Hive and PySpark for big data environments.,Develop NLP and text mining skills.,Build predictive models with ML algorithms.
Behavioral questions
Describe a complex business problem you solved.,How do you translate data findings into insights?,Share an example of mentoring a junior colleague.,How do you manage multiple project priorities?
Frequently asked questions
- What specific marketing analytics experience is Citi looking for in a Senior Business Analyst?
- Citi is seeking a Senior Business Analyst with experience in marketing analytics, particularly in areas such as sales/marketing strategy optimization, pricing optimization, client experience enhancement, cross-sell initiatives, and customer retention. Demonstrating a quantifiable impact in these areas will be key.
- What programming languages and tools are essential for this Senior Business Analyst role at Citi?
- Proficiency in Python or R, and SQL is essential. Experience with Hive is also required. Familiarity with PySpark and Tableau is considered a plus for this Senior Business Analyst position.
- How does Citi evaluate problem-solving abilities for a Senior Business Analyst position?
- Citi evaluates problem-solving for this Senior Business Analyst role by looking at your logical reasoning, ability to convert complex business challenges into analytical tasks, and your skill in presenting analytical findings into clear business insights. Practical examples from your past roles are highly valued.
- Is experience with unstructured data analysis necessary for the Senior Business Analyst role?
- Yes, experience with unstructured data analysis, such as processing call transcripts using Natural Language Processing (NLP) or Text Mining techniques, is a required skill for this Senior Business Analyst position at Citi.
- What is the expected educational background for this Senior Business Analyst role?
- A Bachelor's Degree with 5-8 years of data analytics experience, a Master's Degree with 4-8 years of experience, or a PhD is expected for this Senior Business Analyst role at Citi. Emphasis is placed on relevant experience over the specific degree.
- Does Citi require experience in the financial services industry for this Senior Business Analyst role?
- While experience in the financial services industry is considered a 'good to have' rather than a strict requirement, it is highly advantageous for this Senior Business Analyst role. It demonstrates an understanding of the sector's complexities.
- What are the primary responsibilities of a Senior Business Analyst in the TTS Analytics team?
- The Senior Business Analyst will work on various analyses throughout the year focusing on client lifecycle stages such as acquisition, engagement, client experience, and retention within the TTS business. This involves using diverse analytical methods and data sources to provide insights.
- What opportunities are there for growth or mentorship in this Senior Business Analyst role?
- The role specifically mentions the ability to coach and mentor juniors, and contribute to organizational initiatives like competency development and training. This indicates opportunities for leadership and skill-sharing within the Senior Business Analyst position.