Avp - Business Analytics

**TTS Analytics C12**

**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 Asst. Vice President (C12) in the TTS Analytics team
- The role will report to the VP or SVP 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 7-10 years of experience in data analytics, or Master’s Degree with 6-10 years of experience in data analytics, or PhD.
- Must have:

- Business 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.
- Experience working with large datasets using technologies such as PySpark, Hive, Impala, SQL etc.
- Good to have:

- Experience in financial services
- Experience working with data from different sources and of different complexity
- Predictive modeling using Machine Learning
- Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining

**Skills**:
**Analytical Skills**:

- Ability to understand complex business problems, break them down into simpler solvable parts and develop analytical approaches to tackle them
- Strong logical reasoning and problem-solving ability
- Proficient in converting business problems into analytical tasks, and analytical findings into business insights
- Proficient in identifying trends and patterns with data

**Tools and Platforms**:

- Proficient in Python/R, PySpark and SQL
- Experience in Hive
- Proficient in MS Excel, PowerPoint
- Good to have:

- Experience with Tableau

**Soft Skills**:

- Ability to drive clear and comprehensive communication flow between business stakeholders and the team and vice versa, translating analytical findings into key insights and actionable recommendations
- Ability to coach and mentor team members on an ongoing basis
- Ability to drive ideation on analytical projects to tackle strategic business priorities
- Comfort on working with ambiguity and open-ended questions
- Strong process/project management skills
- Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.**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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