Neha Singh<br>
Vice President, Enterprise Business Intelligence Engineering

Khushboo Kumar<br>
Service Delivery Lead

Rohit Bairagi<br>
Lead Credit Specialist

<p>Function Description:<div><p><br></p>Assistant Manager, Enterprise Digital and Analytics, International Commercial Product analytics<br><br>Purpose of the Role:</div><div><p><br></p>- Growing commercial business outside US is a top priority for American Express. The international commercial product analytics team will play a critical role in formulating data driven insights to drive product innovation, improve feature relevance and deepen relationships with customers.&nbsp;</div><div><p><br></p><p>- The candidate will be part of a high performing international team that leverages big data capabilities, advanced analytical techniques and statistical modeling to glean customer insights, develop innovative strategies to drive revenue growth and improve cost base. </p><div><br></div><p>-   Advanced degree in quantitative field from a premium institute or (e.g. Engineering, Mathematics, Statistics, Econometrics, MBA) preferred</p><br>Responsibilities :<br><br>- The candidate will work very closely with business partners from product, marketing and risk teams to come up with solutions to business critical problems, and implement them. He/she will leverage big data capabilities, advanced analytical techniques and statistical modeling . <br><br></div><div> <p>-   Advanced degree in quantitative field from a premium institute or (e.g. Engineering, Mathematics, Statistics, Econometrics, MBA) preferred</p><br> Critical Factors to Success:</div><div><p><br></p>- Strong problem solving skills <br><br></div><div><p>- Experience in data analytics (either through work or academics)</p><div><br></div><p>- Exceptional written and verbal communication skills</p><div><br></div><p>- Experience with advanced statistical modeling techniques</p><div><br></div><p>- Proficiency &amp; experience in using data manipulation &amp; statistical analysis tools (Python, Hive, R, SQL, SAS, etc.)</p> <br>Qualifications:</div><div><p><br></p>Past Experience:</div><div><p><br></p>Preferred In Analytics<br><br>Academic Background:</div><div><p><br></p>-   Advanced degree in quantitative field from a premium institute or (e.g. Engineering, Mathematics, Statistics, Econometrics, MBA) preferred<br><br>Technical Skills/Capabilities:</div><div><p><br></p>Proficiency &amp; experience in using data manipulation &amp; statistical analysis tools (Python, Hive, R, SQL, SAS, etc.)<br><br>Job type- Permanent<br><br> Industry Type - Operations<br><br>The Apply Button will redirect you to website. Please apply there as well.<br><br></div><p>#NOLI</p></p>

Bangalore

American Express - Assistant Manager - Enterprise Digital Analytics 

American Express - Assistant Manager - Enterprise Digital Analytics  ,Job Description for American Express - Assistant Manager - Enterprise Digital Analytics  in American Express in  Bangalore for (3-8) years of experience. Apply Now!

Job Description for American Express - Assistant Manager - Enterprise Digital Analytics  in American Express in  Bangalore for (3-8) years of experience. Apply Now!