Business Analyst

Mangaluru, India

Services Analytics C10

What do we do?

The Services Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the Services business focused on Institutional Clients (corporates & financial institutions). 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 Analyst (C10) in the Services Analytics team
The role will report to the AVP or 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 Services 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 4+ years of experience in data analytics, or Master’s Degree with 2+ years of experience in data analytics, or PhD.
Must have:

Experience in business analytics in one or more of these domains - Sales, Marketing, Pricing, Customer Experience
Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
Experience working on multiple large data sets at different levels of granularity to bring out insights

Good to have: Experience in financial services

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, SQL
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 adaptive to matrix work environment

Job Family Group:

Job Family:

Time Type:

Most Relevant Skills

Other Relevant Skills

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