Business Analyst
Citi
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.
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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
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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
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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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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