About Capgemini <?xml:namespace prefix = o ns = “urn:schemas-microsoft-com:office:office” />
With more than 170,000 people in over 40 countries, Capgemini is one of the world’s foremost providers of consulting, technology and outsourcing services. The Group reported 2014 global revenues of EUR 10.5 billion. Together with its clients, Capgemini creates and delivers business and technology solutions that fit their needs and drive the results they want. 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 http://www.capgemini.com/ .
Rightshore ® is a trademark belonging to Capgemini
Capgemini 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.
Senior Data Analyst /Data Quality Analyst
Strong data analyst responsible for conducting assessment of data analyst of the data leveraged by finance, risk and compliance business process
Candidate will be required to conduct data profiling and map data elements from source to common conceptual / semantic model for data concepts like Trades, Positions, Allocation, Client, Account etc.
Identify critical data elements by understanding the usage of the source data by business process
Identify the root cause of the data quality issue by interacting with business stakeholders, technology stakeholders and data provider
Conduct data discovery, profiling of source data by leveraging automation tools like Global IDs, Information, IBM Info Analyzer etc
Analyzing and assess the quality of data by executing SQL against DB2, Sybase and other databases.
10+ years experience in financial industry & information technology
7+ years experience in conducting analysis of data for developing data warehouse and developing meta data mgmt solution to capture data lineage
2+ experience in defining semantic / logical data model and mapping the data sources elements to the data model
Strong communicator who will use both verbal and written communications with team members, other members of IT and business stakeholders to influence decisions to achieve desired results.
Ability to write data quality rules business, technical specification and develop test plans to validate DQ rules implementation etc.
Self starter with the initiative to identify and act upon opportunities with little to no direction.
Experience with using one of the data profiling tool like Global IDs, Information, IBM Info Analyzer etc
Proficient in writing SQL against DB2, Sybase and other RDBMS to identify data quality issues
Subject matter expertise in Capital Markets key data concepts like Trades, Positions, Allocation, Client, Account etc.