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Shulman Fleming & Partners

Business/Data Analyst (VP Level)

Shulman Fleming & Partners, New York, New York, us, 10261

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Shulman Fleming & Partners provided pay range This range is provided by Shulman Fleming & Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range $111,000.00/yr - $175,000.00/yr

Hybrid Schedule at least 3 days onsite

Salary Range: $111k to $175k

No Sponsorship Available

To qualify for this role, you must have a deep understanding of Financial Snowflake Data warehousing, and experience doing data integration into a data warehouse (like a cloud/dimensional warehouse). You must 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 daily transaction positions for reference and customer data for bank and security side

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

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+ years in Business or Data Analyst role in Finance industry

Subject Matter Expertise with one or more of the following products or subject areas: 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 SQL and 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 (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

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