Lead Business Data Analyst - Data Modeler

Our client, a major bank in New York City, is looking for talented Lead Business Data Analyst / Data Modeler for strategic company data warehouse environment. Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience. Permanent position with competitive compensation package (base is 165-185K), excellent benefits, and target bonus. This is hybrid commute position with up to 2-3 days per week in the NYC or Iselin, NJ Office locations Lead Business Data Analyst / Data ModelerJob Qualifications Bachelors degree in business administration, finance, Data Analytics, or related field 3 - 5+ in Business or Data Analyst role in Banking or Finance industrySME level familiarity with Investment Banking products or subject areas from a data level: Derivatives, Finance, Cash, Loans, Commitments; Regulatory Reporting Strong mathematical skills to help collect, measure, organize and analyze data Excellent communication, collaboration, analytical, problem-solving, and organizational skills Highly self-motivated, goal oriented and proactive Strong documentation and specification writing Understanding of Database Design concepts - Dimensional modelling Hands on technical skills supporting data analysis.SQL Technical proficiency regarding database design development, and data models - especially Dimensional Data Models (e.g., Snowflake) Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analysis. Familiarity/experience with Snowflake data warehouse environments (Snow SQL) a plus Data visualization and data analysis experience is a plus (Power Bi, Alteryx) Experience with project management tools such as Jira, and Confluence Proven experience in eliciting requirements and testing Experience in analyzing data to draw business-relevant conclusions. Knowledge in generating process documentation (UML Sequence diagrams) a plus Job ResponsibilitiesActively engage as SME on source system data attribution for alignment to data warehouse sourcing and analytic efforts Develop strong value-added relationships with business partners. Develop, review, and validate requirements and specifications as applied to data constructs and solutions. Conduct business/data analysis and research to validate new requirements and identify patterns and inconsistencies of data across sources and targets.Using automated tools to extract data from primary and secondary sources Filter Data by comparing results in sources and targets to identify and correct code problems Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis of exception requirements Document meeting minutes, processes, and procedures to ensure consistency and integrity of effort Take an active role in Agile scrum sessions for project execution, including task allocations, blocker remediation and general progress tracking Collaborate with team members to collect, analyze, and evaluate information from multiple sources Report on common sources of technical issues or questions and make recommendations to development team Participate in validating functional requirements, design specifications, testing analysis Mapping of source system data attributes to target destination, including transformation specifications as required to be used by developers for implementation Work independently and with team in collaborative way to complete tasks proactively as scheduled Constantly be on the lookout for ways to improve monitoring, discover issues and deliver better value to the customer Please email your resume orUse this link to apply directly: Or email: igork@ Check ALL our Jobs: Keywords: data analyst sql math investment banking derivatives cash excel spss sas models visualization powerbi alteryx jira confluence uml dimensional database snowflake testing

Created: 2025-01-17