What are the responsibilities and job description for the Business Data Analyst, Data Modeling /Mapping, SQL, BigData/Hadoop, Financial 12+ Mths Con NYC position at Zen & Art?
Job Details
Business Data Analyst, Data Modeling /Mapping, SQL, BigData/Hadoop, Financial 12 Mths Con NYC
JPC - 3500
Experience Level : Level 3 ( 7 to 12 yrs of exp)
Description:
Business Data Analyst, Requirement Specs, Data Modeling, Data Mapping, SQL, Big Data/Hadoop, Financial 12 Mths Cont NYC
Job Description Department: NON-FINANCIAL RISK TECHNOLOGY
Job Location: NEW YORK ( Hybrid - 3 to 4 days a week onsite)
Interview Type : Inperson
Duration : 12 Months Cont
About Us
The Financial Crimes Technology department (FCT) is part of the NFRT (NON-FINANCIAL RISK TECHNOLOGY ) organization that among other things is responsible for the support of the Firm's Anti Money Laundering (AML), Enterprise Client Risk Ranking (ECRR), Single Client View (SCV), Office of Foreign Asset Control (OFAC) Sanction Screening programs, Negative News Screening programs and Risk Assessments. The AML, Sanctions Screening & NNS programs are supported by an application suite that enables surveillance of firm and client activity, customer identification, as well as ensuring the Firm's compliance with various regulatory requirements. The position is on a new department initiative.
Responsibilities:
- Collaborate with stakeholders to understand business needs and translate them into detailed technical specifications
- Conduct analysis of business requirements and processes for data centric projects
- Responsible for gathering and writing data requirements.
- Translate business requirements into data mapping specifications
- Develop a thorough understanding of the data definitions, domain values, data relationships, business rules, sources, and data integration used in the business domain
- Troubleshoot data issues and work with data providers for resolution
- Work with Data Engineers who will implement technical solutions to meet business requirements
- Support developers with data subject expertise
- Support phases of project development, from analysis and design to testing and implementation
- Ensure that technology solutions meet the defined requirements.
- Understanding of data quality and data governance
- Provide ongoing support and training to business users on the new or revised systems.
Required Skills:
- Strong knowledge of relational databases and data modeling
- Strong SQL query skills
- Experience with SDLC
- Strong analytical, profiling and troubleshooting skills
- Strong knowledge with Big Data/Hadoop platform
- Strong business analysis and requirements definition skills
- Strong stakeholder presentation skills
- Solid organization and planning skills
- At least 7 years' financial industry technology experience and knowledge of financial services data
- Good verbal and written communication skills
Desired Skills (Not required):
- Experience with data visualization software (e.g., Tableau, Power BI)
- Experience with Agile project delivery
- Experience with programming languages (e.g., Python)
Client is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.
About Us
The Financial Crimes Technology department (FCT) is part of the NFRT (NON-FINANCIAL RISK TECHNOLOGY ) organization that among other things is responsible for the support of the Firm's Anti Money Laundering (AML), Enterprise Client Risk Ranking (ECRR), Single Client View (SCV), Office of Foreign Asset Control (OFAC) Sanction Screening programs, Negative News Screening programs and Risk Assessments. The AML, Sanctions Screening & NNS programs are supported by an application suite that enables surveillance of firm and client activity, customer identification, as well as ensuring the Firm's compliance with various regulatory requirements. The position is on a new department initiative.
Responsibilities:
- Collaborate with stakeholders to understand business needs and translate them into detailed technical specifications
- Conduct analysis of business requirements and processes for data centric projects
- Responsible for gathering and writing data requirements.
- Translate business requirements into data mapping specifications
- Develop a thorough understanding of the data definitions, domain values, data relationships, business rules, sources, and data integration used in the business domain
- Troubleshoot data issues and work with data providers for resolution
- Work with Data Engineers who will implement technical solutions to meet business requirements
- Support developers with data subject expertise
- Support phases of project development, from analysis and design to testing and implementation
- Ensure that technology solutions meet the defined requirements.
- Understanding of data quality and data governance
- Provide ongoing support and training to business users on the new or revised systems.
Required Skills:
- Strong knowledge of relational databases and data modeling
- Strong SQL query skills
- Experience with SDLC
- Strong analytical, profiling and troubleshooting skills
- Strong knowledge with Big Data/Hadoop platform
- Strong business analysis and requirements definition skills
- Strong stakeholder presentation skills
- Solid organization and planning skills
- At least 7 years' financial industry technology experience and knowledge of financial services data
- Good verbal and written communication skills
Desired Skills (Not required):
- Experience with data visualization software (e.g., Tableau, Power BI)
- Experience with Agile project delivery
- Experience with programming languages (e.g., Python)
Client is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.