Data Analyst

Wilson Elser - Business & Legal Professionals•White Plains, NY

13h•Hybrid

About The Position

Wilson Elser is seeking a Data Analyst for their White Plains, NY Office. This position is within the Firm’s Business Solutions & Innovations department, which is undergoing a significant overhaul of legacy technology and business processes to enhance efficiency, sustainability, and competitive advantage. The role offers a flexible, hybrid working arrangement. The Data Analyst will be responsible for creating and maintaining reporting processes, understanding firm databases, utilizing Power BI Analysis Services for data visualization, leveraging Aderant for financial reporting, performing data analysis and refinement, communicating with internal/external resources, responding to ad hoc data requests, and analyzing/documenting legacy scripting routines.

Requirements

1-3 years of Experience in Financial Systems Administration
1-3 years of recent Experience with Aderant Financial System
Demonstrated Ability to Managing Data & Performing Data Analysis
Working Knowledge Power BI Analysis Services
MS SQL/SSRS/SQL Query skills required
Exceptional MS Excel understanding, ability to debug, and develop a must
Familiar with using JIRA software or comparable software for project and task management
Excellent analytical and problem-solving skills
Multi-tasker with ability to successfully manage numerous projects and tasks concurrently
Strong oral communication skills
Ability to draft succinct, informative, and accurate reports and recommendations
Organizational skills to manage toward deadlines and deliverables
Bachelor’s degree (preferably in a Computer Science or related field), or substantial industry experience/expertise

Nice To Haves

VBA/Macro understanding and ability to debug are preferred skills
Experience leading the transition, integration, and implementation of legal e-billing platforms a plus
Knowledge of Sequel Viewpoint Systems a plus
Prior industry experience with mid to large sized Law Firm(s) a plus