Location: New York
The Data Analyst / Business Analyst will be a member of the Sales Reference Data Technology Team responsible for managing data quality initiatives across the various reference data programs including client, product, trade and people domains.
Data Analyst / Business Analyst:
Act as a Subject Matter Expert in the Sales Reference Data domain.
Establish data quality reporting processes and analyze data quality reports to identify potential data anomalies across multiple areas of reference data.
Attentively pursue data quality issues to their root cause and seek intelligent solutions to improve data quality through manual data cleanup / systemic automation.
X Work closely with global users to understand business needs, document requirement specifications and work with technology teams to define and present solution proposals.
X Define the scope and impact of projects and effectively communicate the impact in the organization.
X Engage in ad-hoc data projects varying in scope and priority.
X Assist development teams throughout the project lifecycle to ensure that business requirements are correctly implemented.
X Acts as liaison between business unit, software developers and quality assurance teams.
The data / business analyst must:
X Possess 4-6 years of professional experience in the financial services industry, including 2-4 years focused on data analysis / business analysis in Sales Technology.
X Have several years of practical, hands-on experience as a data / business analyst, and therefore have insight into how to improve processes around requirements scope, definition and requirements gathering,
X Proficient in usage of SQL for data analysis. Proficient with all standard Microsoft applications including experience with PowerPoint presentations as well as data management / query writing skills via Access.
X Knowledge of process flow documentation and or familiarity with DMAIC process; experience with general project management skills.
X Demonstrate exceptional analytical skills, and be very capable with data analysis and productivity tools such as Excel / Access.
X Excellent organizational, communication and leadership skills are essential.
X Be able to interact comfortably with and gain the confidence of senior managers.
X Function effectively in cross-functional teams to ensure that critical work is owned and completed in a timely manner. In general, candidate must aptly manage day-to-day interactions and relationships with a diverse group of colleagues.
X Self-motivated and can work independently; demonstrate the ability to multi-task in a fast-paced environment and effectively engage in multiple initiatives simultaneously
Interested candidates can post their updated resume to email@example.com