Business Systems Consultant 4

Required Skills:

• Hands on experience with metadata management, metadata standards and data management processes.
• Hands on experience in Collibra\Abinitio Meta Hub or any other Metadata Management Tools.
• Adequate technical skill in SQL and various other data access tools to work independently.
• Strong analytical skills, expertise in data analysis and research covering various data set using Hadoop and relational database technologies platform to produce more insight for business intelligence.
• Knowledge of broad financial products and various types of the data used in the financial services industry and experience in one or more of the functional areas like Lending, Consumer Banking or Wholesale Banking with broader understanding of the products, systems landscape (SOO, SORs) etc… would be preferred.
• Knowledge of applicable data analysis approach and metrics from business perspective and risk perspective.
• Experienced in taking business requirements and translating into IT implementations.
• Independent thinker who can think out of box and provide thought leadership to business and IT communities.
• Strong communication, inter-personal and presentation skill and comfortable in communicating to business stake holders and senior management.

Good to Have:
• Exposure to Industry Standard Data Models like OFSAA, FPML of FIX etc.
• Exposure to big data HADOOP platform and familiar with the data access tools available on HADOOP.
• Good command in working with data in Excel.

Market Skills and Certifications
Data Management - Data Quality (DM2) Job Description:
Exp Range: 6 to 8 Years

This senior Business and Data Analyst will focus on data quality related processes. This position will be establishing and driving the data quality rules and maintaining the rules that include Technical Data Validations and Business Validations. This person will carry out various business and data analysis assignments in transactional and reference data areas, establishing and promoting data standards and usage of the Enterprise Data Lake. This person needs to have frequent interactions with business, compliance and operations users, and various up and downstream IT teams.

Required Skills:

• Hands on experience with Data Quality processes and writing Rules and SQL queries.
• Adequate technical skill in SQL and various other data access tools to work independently.
• Strong analytical skills, expertise in data analysis and research covering various data set using Hadoop and relational database technologies platform to produce more insight for business intelligence.
• Knowledge of broad financial products and various types of the data used in the financial services industry and experience in one or more of the functional areas like Lending, Consumer Banking or Wholesale Banking with broader understanding of the products, systems landscape (SOO, SORs) etc... would be preferred.
• Knowledge of applicable data analysis approach and metrics from business perspective and risk perspective.
• Experienced in taking business requirements and translating into IT implementations.
• Independent thinker who can think out of box and provide thought leadership to business and IT communities.
• Strong communication, inter-personal and presentation skill and comfortable in communicating to business stake holders and senior management.
Good to Have:
• Exposure to Industry Standard Data Models like OFSAA, FPML of FIX etc.
• Exposure to big data HADOOP platform and familiar with the data access tools available on HADOOP.
• Experience in Collibra or any other Data Management\Quality Tools.
• Good command in working with data in Excel.

HM : Kotha, Koteswara Rao


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