Senior Data Analyst - Mitchell Martin
Metropark, NJ
About the Job
Our client, an integrated retail and corporate banking, is seeking a Senior Data Analyst.
Location: Metropark, NJ
Position Type: Full-Time/Perm
Schedule: Hybrid 2-3 Days in the Office
Job Summary:
• Seeking curious minds to join our data warehouse sourcing and analytics team in the role of Sr. Data Analyst to assist with data requirements discovery/mapping/documentation, testing validation and support for a strategic data warehouse environment.
• In this role, you will work as part of a team to understand patterns of data as they apply to Banking products, develop mapping specifications for use by developers, and execute test plans to identify inconsistencies between our source systems and target warehouse objects.
• Additionally, you will collaborate under agile project methodology, participate in daily scrum meetings, and assist in compiling necessary documentation for testing results.
Responsibilities:
• 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
• Participate in Agile methodologies for project execution
• 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
• Become SME on source system data attribution for alignment to data warehouse sourcing and analytic efforts
Qualifications:
• Bachelor's degree in business administration, finance, Data Analytics, or related field
• 3 – 5+ in Business or Data Analyst role in Banking or Finance industry
• SME 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
• Effective 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.
• Programming languages such as SQL, Python
• Technical proficiency regarding database design development, and data models
• 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 preferred (Power Bi, Tableau)
• 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
Salary $125,000-$180,000
Location: Metropark, NJ
Position Type: Full-Time/Perm
Schedule: Hybrid 2-3 Days in the Office
Job Summary:
• Seeking curious minds to join our data warehouse sourcing and analytics team in the role of Sr. Data Analyst to assist with data requirements discovery/mapping/documentation, testing validation and support for a strategic data warehouse environment.
• In this role, you will work as part of a team to understand patterns of data as they apply to Banking products, develop mapping specifications for use by developers, and execute test plans to identify inconsistencies between our source systems and target warehouse objects.
• Additionally, you will collaborate under agile project methodology, participate in daily scrum meetings, and assist in compiling necessary documentation for testing results.
Responsibilities:
• 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
• Participate in Agile methodologies for project execution
• 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
• Become SME on source system data attribution for alignment to data warehouse sourcing and analytic efforts
Qualifications:
• Bachelor's degree in business administration, finance, Data Analytics, or related field
• 3 – 5+ in Business or Data Analyst role in Banking or Finance industry
• SME 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
• Effective 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.
• Programming languages such as SQL, Python
• Technical proficiency regarding database design development, and data models
• 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 preferred (Power Bi, Tableau)
• 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
Salary $125,000-$180,000
Source : Mitchell Martin