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- Working largely independently but with some guidance from team lead, will develop reports and visualizations to fulfill requests using a variety of database and analytic technologies. Will work closely with other members of the IT team where appropriate.
- Will support and, under some supervision will be responsible for, the design, implementation and maintenance of ETL (Extract, Transform, Load) processes to gather information from a variety of databases and datasets, including both internal sources and external sources. Collaborates with clinical and administrative staff to ensure that reports are timely, accurate, meaningful, and interpretable.
- Will build a data visualization platform to facilitate analysis and multidisciplinary discussion of data in real-time.
- May assist with building databases based on project requirements and with maintaining their documentation.
- Analyzes and troubleshoots issues with reports. Escalates problems requiring more in-depth knowledge to team lead appropriately.
- May assist researchers with the statistical analysis of the data.
- Actively contributes to iterative discussions with a diverse community of users including clinicians, clinical researchers, and administrators, to assist with identifying their reporting needs. May also work directly with users.
- Contributes to discussions with other data engineers on issues related to tools and languages, and participates in code reviews. May sometimes act as a resource to other data engineers.
- Participates in group activities and contributes to discussions with the whole team.
- Produces and keeps up-to-date written documentation on processes.
- Bachelor’s Degree in Business Administration, Computer Science or STEM discipline.
- 2-4 years of experience on a job or internship preferred.
- Proficiency with SQL and knowledgeable about database models.
- Familiarity with building dynamic visualizations using tools, such as Microstrategy, or Tableau, is required.
- Familiarity with a scripting language such as R, Python, or Scala is a plus.
- Understands the design and implementation of data collection systems and ETL processes in a Production environment is a plus.
- With light supervision, capable of taking projects of moderate complexity and scope, developing and evaluating options, and completing them in a reasonable time frame. Able to understand the needs of a project and to describe road blocks and project status to technical lead and/or managers.
- Displays interest in and demonstrated ability to learn new concepts and grow as a data engineer.
- Ability to understand the real-world context behind technical questions and requirements.
- Strong analytical skills, with great attention to detail and accuracy.
- Ability to maintain positive and productive relationships, and the ability to communicate effectively with both technical peers and non-technical users.
- Ability to ensure information is complete and accurate; follows up with others to ensure that commitments have been fulfilled.
- A strong focus on customer service.
- Proficiency in Statistical / Machine Learning is a plus.
- Familiarity with distributed frameworks for Big Data is a plus.
- ID: #43586730
- State: Massachusetts Boston 02108 Boston USA
- City: Boston
- Salary: Depends on Experience
- Job type: Permanent
- Showed: 2022-06-24
- Deadline: 2022-08-20
- Category: Customer service