Overview: Management Science Associates, Inc., (MSA) is a diversified information management company that for over half a century has given market leaders the competitive edge in data management, analytics and technology. We are seeking an experienced Data Analyst I to join the MSA Media-Post Buy division which has been offering client-focused technology and analytic solutions to the media/cable television industry since the early 1980s.
Query, extract and validate data from client databases in order to fulfill client and internal requests. Understands the data and processes used to produce intended results.
Identify problems based on project documentation and processes. Research problems and present findings to team lead.
Perform quality assurance functions to validate data, software, hardware, or procedure changes
Review processes, looking for ways to improve performance, improve turnaround, and reduce risk. Present suggestions to team leaders and work with them to implement approved changes.
Maintain detailed documentation and adhere to standard operating procedures
Communicate with team members on project assignments
Understand strategic goals for respective area and align personal goals
Attend ongoing training to achieve personal, professional, and technical improvement
May assist in the training of new employees
Bachelor's degree in Computer Science or related discipline or equivalent experience
Exposure to SQL
Relational database experience and data analysis
Analytic and problem solving skills
Communication skills, both written and oral
Data mining and manipulations skills and knowledge
Technical skills and learning to work on multiple platforms
Basic time management skills
Able to multi-task
Knowledge of database structure
Basic MS Office applications
Ability to translate and converse about technical and analytical issues to the technical and non-technical divisional employees
Responsible for assigned project work under direct supervision of higher level staff
Meet operational expectations for on-time delivery and quality data