Business/Data Analyst (VP Level)

Overview

Hybrid
$111,000 - $175,000
Full Time

Skills

Data Analysis
Data Integration
Analytical Skill
Derivatives
Equities
Finance
JIRA
Snow Flake Schema
SQL
Microsoft Excel
Mathematical skills

Job Details

Business/Data Analyst (VP Level)

Hybrid Schedule at least 3 days onsite-NYC or Iselin NJ

Salary Range: $111k to $175k

No Sponsorship Available

To qualify for this role, you must have a deep understanding of Data warehousing, and experience doing data integration into a data warehouse (like a cloud/dimensional warehouse). You must also have strong financial knowledge of products like derivatives, paper loans, commercial paper, cash, or equities as well as the product and data footprint underneath that product. You will be expected to perform core analysis on how to bring that data into the data warehouse. You will need Data profiling skills (SQL coding), data mapping skills and will do data model enhancement.

Additionally, as the Data SME you will collaborate under agile project methodology, participate in daily scrum meetings, and assist in compiling necessary documentation for testing results.

Responsibilities

  • Become SME on source system data attribution for alignment to data warehouse sourcing and analytic efforts
  • 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
  • Use 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
  • Use 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

Qualifications:

  • 7+ in Business or Data Analyst role in Finance industry
  • Subject Matter Expertise with one or more of the following products or subject areas from a data level: Derivatives (OTC,ETD), SFT/Repo, Cash/Bonds, Commercial Paper Loans, Deposits, General Ledger; Regulatory Reporting for Banks
  • Strong mathematical skills to help collect, measure, organize and analyze data
  • Strong documentation and specification writing
  • Understanding of Database Design concepts in a Datawarehouse environment
  • Hands on technical skills supporting data analysis
  • Programming languages such as , and
  • Technical proficiency regarding database design development, and data models
  • Proficiency in statistics and statistical packages like , SPSS, SAS to be used for data set analysis.
  • Familiarity/experience with Snowflake data warehouse environments (SnowSQL) a plus
  • Data visualization and data analysis experience is preferred (PowerBi, Tableau)
  • Experience with project management tools such as Jira, Trello, and Confluence
  • Experience in analyzing data to draw business-relevant conclusions
  • Knowledge in generating process documentation
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.