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Senior Associate, Business Analysis
Capital One
Bengaluru, IND
Full-time
Senior · 3+ years experience
Onsite
Discovered 3 weeks ago
pythonsql
Key Skills for This Role
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Full Job Posting
Basic Qualifications:
- Bachelor's Degree in a quantitative field (Statistics, Math, Engineering, Economics, Econometrics, Finance or Operations Research).
- At least 2 years of professional work experience in analytics, business analysis or data-driven product management.
- 3+ years of experience with Python, R, SQL and relational databases.
- Experience in the financial services industry, specifically dealing with cross-LOB operations, customer experience or complaint resolution.
- Strong analytical skills with high attention to detail and accuracy, and proficiency in key econometric and statistical techniques (such as hypothesis testing, regression modeling, etc.).
- Experience translating ambiguous business problems into clear analytical questions and tangible product features.
- Excellent written and verbal communication skills.
- At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
- If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
- For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
- Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
- Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Preferred Qualifications:
- 3+ years of experience with Python, R, SQL and relational databases.
- Experience in the financial services industry, specifically dealing with cross-LOB operations, customer experience or complaint resolution.
- Strong analytical skills with high attention to detail and accuracy, and proficiency in key econometric and statistical techniques (such as hypothesis testing, regression modeling, etc.).
- Experience translating ambiguous business problems into clear analytical questions and tangible product features.
- Excellent written and verbal communication skills.
- At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
- If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
- For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
- Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
- Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
About Capital One
Financial Services10,001+Founded 1994
Capital One is a U.S.-based financial services company offering credit cards, consumer banking, auto finance, and commercial banking products. It operates primarily in the United States with additional operations in Canada and the United Kingdom.
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