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Data Analyst, Investments Job# 2656 Location: KS Education Requirements: Bachelors Degree with an emphasis in Finance, Accounting, MIS or Business Administration. Other Requirements: Include:
Ability to analyze financial documentation and turn into concise data points, develop procedures and communicate detail in both verbal and written form.
Previous Investment Operations experience.
A high level of computer literacy and familiarity with electronic office and industry tools.
The mind-set to see through to conclusion specific tasks ensuring deadlines and quality standards are met.
The ability to work well as part of a team and with minimal supervision.
Working knowledge of SQL and Bloomberg.
Evident interpersonal, organizational, administrative and problem solving abilities.
Knowledge of industry data repositories, Crystal, Business Objectives, Access, DWH solutions, ETL solutions preferred.
Salary Range: Negotiable Description: The Data Analyst, Investments is the data context expert for Investments and ensures data accuracy through ensuring quality, reliability and availability of investment related data. Duties and responsibilities include:
Contribute to the development and implementation of standardized procedures for supporting the data management and data governance function according to best practices and industry standards.
Assist in managing vendor relationships for data and ensuring optimization of feeds.
Performs the day-to-day operational maintenance of data; input, manipulation, and exception reporting.
Work with business unit personnel, members of Investment Accounting, Investments, Operations, data and outsourced vendors, Procurement, and IT to develop best practices around data management and governance.
Establishes regular data validation processes to ensure data integrity and recommends new reports, feeds, and processes to support the business model.
Manage workflow with respect to data needs for audits and other business processes that require deadlines, such as trading and month end.
Assist in daily data and or operations processes as well as projects, research and analytical/quantitative analysis.
Assist front office by reviewing and analyzing data for completeness, validity and reasonableness.
Provide advice and technical support and understand downstream impacts of data processes.