Primary Function The Data Analyst oversees activities related to data capture, extraction, and analysis of Client transactions/services. The Data Analyst may collect data across multiple systems; oversee its validation and organization and make sure that it is available to appropriate people and systems within an organization. This position in on-site in mid-town Manhattan. There may be limited opportunities for remote work.
Duties & Responsibilities - Make recommendations and assist in data capture, data extraction and analysis
- Develop, maintain or implement procedures for data entry, data cleaning, documentation and other administrative tasks
- Document, implement, maintain or recommend operating methods to improve processing, distribution, data flow, collection, database editing procedures
- Track Costs against billed and budgeted activities.
- Prepare, process and follow-up on administrative billing arrangements and forms.
- As required provide statistical reports and data visualization as related to billing.
- Draft routine billing related correspondence.
- Maintain up-to-date electronic files
- Perform other duties as assigned
Skills & Qualifications - Familiar with data science concepts and skills.
- Well organized and capable of handling multiple assignments
- Proficient with organizing electronic filing systems, familiar with tagging and file management
- Proficient in Microsoft Office, particularly Excel and Microsoft cloud apps, and ability to use standard office equipment
- Ability to learn new software, specific to company and client needs. Experience working with payroll, timekeeping, scheduling or enterprise software such as Ceridian, Paychex, Kronos, SAP or other similar locally hosted or cloud-based solutions
- Familiarity with audio visual and meeting/conference/event procedures
- Willingness to be cross trained in multiple positions with a proactive attitude to jump in where help is needed
- Ability to thrive in a multicultural and multilingual environment
- Ability to read, speak and effectively communicate in English; bilingual in other languages preferred
Education & Experience - Bachelor's/Master's Degree in computer science, computer engineering, data science or closely related field.
- 2+ years' professional data analysis.
- Experience with modern file management tools and cloud platforms.
- Knowledge with R, Python is preferred
