With more
than 190,000 people, Capgemini is present in over 40 countries and celebrates
its 50th Anniversary year in 2017. A global leader in consulting, technology
and outsourcing services, the Group reported 2016 global revenues of EUR 12.5
billion (about $13.8 billion USD at 2016 average rate). Together with its
clients, Capgemini creates and delivers business, technology and digital
solutions that fit their needs, enabling them to achieve innovation and
competitiveness. A deeply multicultural organization, Capgemini has developed
its own way of working, 
the Collaborative
Business ExperienceTM
, and draws on Rightshore®, its
worldwide delivery model. Learn more about us at 

is an Equal Opportunity Employer encouraging diversity in the workplace. All
qualified applicants will receive consideration for employment without regard
to race, national origin, gender identity/expression, age, religion,
disability, sexual orientation, genetics, veteran status, marital status or any
other characteristic protected by law.

This is a
general description of the Duties, Responsibilities and Qualifications required
for this position. Physical, mental, sensory or environmental demands may be
referenced in an attempt to communicate the manner in which this position
traditionally is performed. Whenever necessary to provide individuals with
disabilities an equal employment opportunity, Capgemini will consider
reasonable accommodations that might involve varying job requirements and/or
changing the way this job is performed, provided that such accommodations do
not pose an undue hardship.


Data Analyst: Strong data analysis experience is required including soliciting data requirements, data mapping, lineage and transformation rules • Strong hands-on SQL experience is required to facilitate analysis and implementing data transformation rules •Prior experience in Financial Services essential, preferably with Treasury, Finance and/or regulatory experience (i.e. Basel II & III, Dodd-Frank, etc.) •Hands on experience with documenting business and system requirements, procedures, data flows and process flows •The ability to convey technical information clearly and succinctly to business partners • Knowledge of conceptual and logical data modeling • Experience with ETL (Extract, Transform and Load) processes, defining data metrics (i.e. metadata, reference, quality), warehousing and report development • Must have excellent analytical skills to identify gaps, isolate root causes, and support the development and execution of strategic and tactical plans

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