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Lead Data Systems Analyst


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About the Job
Our client is looking for a very strong technical Data Systems Analyst who can work independently, gather requirements from different stakeholders, solicit and analyze input, synthesize requirements from various sources and produce specs. The candidate does not need to know specific technology, but must understand technology stack and high level system architecture - data layer, databases, API's, etc.

Job Responsibilities:
Collaborate on various smaller projects to include: development of user and business needs and requirements, solution selection matrixes for vendor evaluation, management of requirements change orders, define and deliver individual project deliverables as a part of the overall program deliverables, manage the expectations of all stakeholders, assist in communications plans, communicate and manage tasks and activities to a schedule with the team, and provide feedback to team members as appropriate.
Effectively manage smaller project efforts with regard to: scope, time management (activities & task planning), requirements gathering, QA and testing, user training, ongoing maintenance and support.
Perform requirements gathering and analysis to include: analytical techniques, interview techniques, data gathering techniques, current system documentation, business modeling methods, business process, rules and logic, data gathering to solve complex issues, development of implementation plans, development of requirements, JAD sessions and key analytical troubleshooting.
Develop and implement test plans/scenarios to ensure successful delivery of a project.
Lend support to various business and technology teams as necessary during project delivery.
Communicate effectively in both verbal (i.e. day-to-day discussions, team meetings) and written (requirements and design specifications) form, as well as have an overall ability to be clear and concise in all communications.
Accurately determine, assign, track and coordinate tasks, activities, documentation, time information per internal standards. Accurately assess the risks associated with each solution design/project.
Effectively run meetings and coordinate activities of others outside of IT
Support the development of team members from a professional and technical level.
Effectively manage multiple priorities.

About You
Experience with data and excellent knowledge of big data
Good understanding of data schemas and types of API's (e.g. have an idea what is JSON, etc.)
Excellent English and communication skills
Experience with ETL, Exadel, and Talend
Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analysing large datasets (Excel, SPSS, SAS etc)

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